Best Kafka tools for Confluent Cloud Managed Connect
ComparisonsThe best Kafka tool for Confluent Cloud Managed Connect is one that calls the Confluent Cloud Connect API with a cloud API key owned by a service account, shows Confluent’s managed connectors beside any running on a team’s own workers, decides per person who may create or change a connector whose configuration carries Kafka and database credentials, records every action including restarts against the engineer rather than the shared key, and runs as one container in your own network, out of the data path. Kpow, the Confluent Cloud Console, the Confluent CLI with the Connect API and Terraform, Kafbat UI, AKHQ and Conduktor each cover part of that. Scored on the six weighted criteria explained below the rankings, Kpow ranks first with 97 out of 110, ahead of the Confluent Cloud Console at 83 and the Confluent CLI, Connect API and Terraform at 71; Conduktor, listed last, totals 69.
Tools compared
| Rank | Tool | Total (out of 110) | Out of the data path | Production access on request | Audit trail per person | Managed connector operations | Directory and Kafka sign-in | Many teams, shared clusters | Cost a year, one cluster (modelled) |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Kpow | 97 | One container, no external database, not a proxy | Temporary policies, staged approvals, masking | Every action and data read, by user | Connect API with a cloud key, beside self-managed and MSK Connect | SAML, OpenID, LDAP | Tenants per team, connectors included | $7,380 |
| 2 | Confluent Cloud Console | 83 | Nothing to deploy | Role bindings, no expiry or approvals | Principal IDs; restarts not audited | Native, with events, offsets and custom connectors | Confluent Cloud accounts, SSO | Roles bound per connector | Included |
| 3 | Confluent CLI, Connect API and Terraform | 71 | Nothing to deploy | Pull request review for code changes | Principal IDs plus version control | Every operation, nothing watching | SSO for the CLI, API keys otherwise | Roles bound per connector | $11,520 |
| 4 | Kafbat UI | 64 | One container | Read-only clusters, no approvals | Opt-in log, no view in the product | Not described | OAuth2, OIDC, LDAP | Roles per resource | $8,640 |
| 5 | AKHQ | 56 | One container | Group roles, no approvals | Opt-in topic, no reads | Not described | LDAP, OIDC | Regex groups | $8,640 |
| 6 | Conduktor | 69 | Console on PostgreSQL; Gateway, a proxy, for data-level controls | Masking exemptions, owner approval | 70+ event types in the UI | Managed connectors with auto-restart | LDAP, OIDC | Groups; Virtual Clusters need Gateway | $32,880; $122,880 with Gateway Core and Protect |
The tools, ranked for Confluent Cloud Managed Connect
Rank 1 Kpow
97 out of 110 Total
Try Kpow in the live demo No signup needed.
- Cost a year
- $4,500 per Kafka cluster with 100 users included, plus about $2,880 in operator time, so $7,380 on one cluster (modelled)
- On managed connectors
- Confluent Cloud Connect API with a cloud API key, since Kpow 89.1 in August 2022
- Deployment
- One container or JAR, no external database
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 9 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 9 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 9 out of 10
- Managed connector operations ×2 weight, this criterion counts 2 times toward the total
- 8 out of 10
- Directory and Kafka sign-in
- 9 out of 10
- Many teams, shared clusters
- 9 out of 10
Why these scores for Kpow
- Out of the data path 9 out of 10
- It is one container or JAR whose snapshots, metrics and audit log live in topics on your own cluster, and it reaches managed connectors through Confluent’s Connect API and Kafka as an ordinary client, so nothing sits between your applications, the connectors and the brokers.
- Production access on request 9 out of 10
- Temporary policies grant time-boxed access that an admin or a change system calling the Kpow API can create, staged mutations hold any action for approval, and data policies mask fields in inspection, though masking is per resource rather than per viewer.
- Audit trail per person 9 out of 10
- Every action is recorded with the user from the identity provider and the policy that allowed it, including data inspect queries, with a seven-day view in the product, the record written to an audit topic on your own cluster, and webhooks that send it to a SIEM for long-term retention.
- Managed connector operations 8 out of 10
- Its Confluent Managed Connect page configures the Confluent Cloud Connect API for an environment and cluster as a Connect cluster, with a cloud API key over basic authentication, so managed connectors appear in the same Connect views as self-managed Connect and MSK Connect, whose documented actions are creating connectors from a form, pausing, restarting, deleting and viewing or editing configs, though the page does not say which of these Confluent’s API accepts; it is held below Conduktor because that page documents no automatic restart or offset management for managed connectors.
- Directory and Kafka sign-in 9 out of 10
- People sign in with SAML, OpenID or LDAP, and Kpow connects to Confluent Cloud’s Kafka with an API key, an OAuth identity pool or mTLS, and to the Connect API with a cloud API key.
- Many teams, shared clusters 9 out of 10
- Tenants scope each team to its own topics, consumer groups and connectors on a shared cluster, and RBAC adds Allow, Deny or Stage per action.
On managed connectors. Kpow’s Confluent Managed Connect page creates a cloud API key with confluent api-key create --resource cloud, finds the environment and cluster IDs with confluent environments list or in the Confluent Cloud URL, and sets CONNECT_REST_URL to https://api.confluent.cloud/connect/v1/environments/${ENVIRONMENT_ID}/clusters/${CLUSTER_ID} with CONNECT_AUTH=BASIC and the key and secret as user and password. Support arrived in Kpow 89.1 on 2 August 2022, alongside MSK Connect. The connector actions are those on the Kafka Connect management page.
Where it falls short. The provider page documents the connection, not which Connect features Confluent’s API accepts, and Confluent’s API has no restart for a single task, so a task-level restart is a feature of self-managed workers. Offsets of managed connectors, connector event logs and custom connector plugins stay in Confluent’s console, CLI or API. Kpow governs people working through Kpow, so its cloud API key’s own permissions are the ceiling, set in Confluent. RBAC, masking, staged mutations and the full audit log need Kpow Enterprise; Community Edition is free for 3 clusters and 10 users.
Compare Kpow vs Kafbat UIKpow vs AKHQ
Rank 2 Confluent Cloud Console
83 out of 110 Total
- Cost a year
- Included with Confluent Cloud; connectors are billed by Confluent whichever tool manages them
- On managed connectors
- Native: create, configure, events, offsets, custom connectors
- Deployment
- Nothing to deploy
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 10 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 3 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 6 out of 10
- Managed connector operations ×2 weight, this criterion counts 2 times toward the total
- 10 out of 10
- Directory and Kafka sign-in
- 8 out of 10
- Many teams, shared clusters
- 7 out of 10
Why these scores for Confluent Cloud Console
- Out of the data path 10 out of 10
- There is nothing to deploy and nothing between the connectors and the brokers, the only option here besides the CLI and API that scores 10.
- Production access on request 3 out of 10
- Role bindings decide what each person may do, but no grant expires on its own, no change waits for a second person’s approval, and nothing masks data in the console per viewer.
- Audit trail per person 6 out of 10
- People act under their own accounts, so Confluent’s audit log names each one by principal ID for creating, updating, deleting, reading, pausing and resuming a connector, but a restart is not among the audited connector methods, and the records sit in a separate read-only audit log cluster for seven days by default.
- Managed connector operations 10 out of 10
- As Confluent’s own console for the service, it is where connectors are created, configured, paused, resumed and restarted, connector events are searchable by level and time, and offsets and custom connector plugins are managed beside them, the widest coverage on this page.
- Directory and Kafka sign-in 8 out of 10
- People sign in to Confluent Cloud with their own accounts, and Confluent Cloud supports single sign-on through the company’s identity provider.
- Many teams, shared clusters 7 out of 10
- Confluent RBAC binds roles to a single connector, so ConnectManager can let a team operate its own connectors and read their configuration without creating or deleting others, though there is no separate view per team.
On managed connectors. Confluent’s fully managed connectors are created, configured and operated in the Confluent Cloud Console. Connector events can be searched by keyword, level and time, with a default retention in the console of three days, and offsets can be read and changed for sink and source connectors.
Where it falls short. It covers Confluent Cloud only, so connectors on a team’s own workers or on Amazon MSK Connect sit in another tool. Its access model is Confluent RBAC: no expiring grant, no approval step, and an audit record that names a principal ID and leaves restarts out. Every action an engineer takes runs with that engineer’s own role bindings, so least privilege depends on how carefully those bindings are kept.
Rank 3 Confluent CLI, Connect API and Terraform
71 out of 110 Total
- Cost a year
- $0 licence, about $11,520 in operator time (modelled)
- On managed connectors
- Every operation the service exposes, as commands or code
- Deployment
- Nothing beyond the CLI or a Terraform pipeline
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 10 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 4 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 5 out of 10
- Managed connector operations ×2 weight, this criterion counts 2 times toward the total
- 6 out of 10
- Directory and Kafka sign-in
- 5 out of 10
- Many teams, shared clusters
- 6 out of 10
Why these scores for Confluent CLI, Connect API and Terraform
- Out of the data path 10 out of 10
- There is nothing to deploy beside the service, the same 10 as the console.
- Production access on request 4 out of 10
- Role bindings apply as in the console, and a Terraform change reviewed in a pull request adds an approval step for changes made as code, but nothing grants production access for an hour and takes it back.
- Audit trail per person 5 out of 10
- Commands run as a person’s own login are audited under that principal, and Terraform runs are audited under the pipeline’s service account, with the name of whoever merged the change in version control rather than in Confluent’s record.
- Managed connector operations 6 out of 10
- The CLI creates, describes, lists, updates, pauses, resumes and deletes connectors and manages their offsets, plugins and event logs, the Connect API adds a connector restart, and the Terraform provider manages connectors and their offsets as code, but nothing watches state or restarts anything on its own.
- Directory and Kafka sign-in 5 out of 10
- The CLI signs people in through Confluent Cloud, including single sign-on, while the API and Terraform authenticate with API keys.
- Many teams, shared clusters 6 out of 10
- The same per-connector role bindings as the console apply, with no view of which team owns which connector.
On managed connectors. The Confluent CLI’s connect commands cover connectors, custom plugins, offsets and event logs. The Confluent Cloud API for Connect takes a cloud API key over basic authentication, and the Terraform provider’s connector resource keeps credentials in a separate config_sensitive block, pauses and resumes a connector by changing its status, and sets offsets in an offsets block.
Where it falls short. It is a toolkit, not a tool: status has to be polled, failures noticed and restarts scripted, and each environment and cluster is a separate target. Its modelled running cost is 8 engineer-hours a month, $11,520 a year at $120 an hour.
Compare How to diagnose and fix a failed Kafka Connect connector
Rank 4 Kafbat UI
64 out of 110 Total
- Cost a year
- $0 licence, about $8,640 in operator time (modelled)
- On managed connectors
- Not described; Connect clusters by URL
- Sign-in
- OAuth2, OIDC and LDAP, free
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 9 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 4 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 6 out of 10
- Managed connector operations ×2 weight, this criterion counts 2 times toward the total
- 2 out of 10
- Directory and Kafka sign-in
- 7 out of 10
- Many teams, shared clusters
- 6 out of 10
Why these scores for Kafbat UI
- Out of the data path 9 out of 10
- It is one stateless container with no database and no proxy, the same pass as Kpow.
- Production access on request 4 out of 10
- RBAC grants actions per resource and a cluster can be set read-only, but there is no approval step, no time-boxed grant, and its masking applies the same way to every viewer.
- Audit trail per person 6 out of 10
- Its audit log names the logged-in user and records reads when the level is set to ALL, but it writes to a topic or the console with no view in the product, so reading the trail is something you build.
- Managed connector operations 2 out of 10
- It manages Kafka Connect clusters by URL with basic authentication, and its documentation does not describe Confluent’s managed connectors, so pointing it at the Connect API is untested.
- Directory and Kafka sign-in 7 out of 10
- It supports OAuth2 and OIDC, including Microsoft Entra ID, and LDAP or Active Directory, and its documentation does not list SAML.
- Many teams, shared clusters 6 out of 10
- Roles scope permissions per resource and list the clusters they apply to, with no tenant view of a team’s own resources.
On managed connectors. Kafbat UI lists Connect clusters beside each Kafka cluster in its configuration, and its feature list covers Kafka Connect next to topic browsing, consumer groups and schemas. The Kafbat UI review covers its RBAC and release history.
Where it falls short. Confluent’s managed connectors are not described, so a team on Confluent Cloud would test it against the Connect API before relying on it. There is no way to grant production access for an hour and have it expire or to hold a change for approval. Its modelled running cost on one cluster is 6 engineer-hours a month, $8,640 a year at $120 an hour.
Rank 5 AKHQ
56 out of 110 Total
- Cost a year
- $0 licence, about $8,640 in operator time (modelled)
- On managed connectors
- Not described; Connect clusters by URL
- Security default
- Disabled until you enable it
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 9 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 3 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 4 out of 10
- Managed connector operations ×2 weight, this criterion counts 2 times toward the total
- 2 out of 10
- Directory and Kafka sign-in
- 6 out of 10
- Many teams, shared clusters
- 5 out of 10
Why these scores for AKHQ
- Out of the data path 9 out of 10
- It is one stateless container with no database and no proxy, the same pass as Kpow.
- Production access on request 3 out of 10
- Groups bind actions to resources by regex, but there is no approval step or time-boxed grant, masking is global, and without the JWT signing secret the restriction is in the UI only.
- Audit trail per person 4 out of 10
- Audit events are opt-in to a Kafka topic, reads are not recorded, and there is no view for the trail.
- Managed connector operations 2 out of 10
- It takes a list of Connect clusters by URL with optional basic authentication, and its documentation does not describe Confluent’s managed connectors.
- Directory and Kafka sign-in 6 out of 10
- It supports LDAP, OIDC and header authentication from a proxy, does not list SAML, and ships with security disabled until you enable it.
- Many teams, shared clusters 5 out of 10
- Groups combine resource types with regex patterns on names and clusters, which limits what a role can reach, but there is no tenant view of a team’s own resources.
On managed connectors. AKHQ takes a list of Connect clusters under each Kafka connection, each with its own URL and optional basic authentication. Confluent’s managed connectors are not described. The AKHQ review covers the rest.
Where it falls short. Security is off until you configure it, the audit trail is an opt-in topic that does not record reads, and managed connectors would need testing. Its modelled running cost on one cluster is 6 engineer-hours a month, $8,640 a year at $120 an hour.
Compare Kpow vs AKHQAKHQ review
Rank 6 Conduktor
conduktor.io
69 out of 110 Total
- Cost a year
- 25 Console seats at $1,200 is $30,000 plus $2,880 operator time, so $32,880; Gateway Core adds $60,000 and Gateway Protect, which carries encryption and masking, a further $30,000 (modelled)
- On managed connectors
- Confluent Cloud managed connectors with auto-restart through Confluent's restart API
- Deployment
- Console on PostgreSQL 13+; data-level controls through Gateway, a proxy
- Out of the data path ×3 weight, this criterion counts 3 times toward the total
- 3 out of 10
- Production access on request ×2 weight, this criterion counts 2 times toward the total
- 6 out of 10
- Audit trail per person ×2 weight, this criterion counts 2 times toward the total
- 8 out of 10
- Managed connector operations ×2 weight, this criterion counts 2 times toward the total
- 9 out of 10
- Directory and Kafka sign-in
- 7 out of 10
- Many teams, shared clusters
- 7 out of 10
Why these scores for Conduktor
- Out of the data path 3 out of 10
- Console needs PostgreSQL 13 or later, and its encryption, data-level masking and Virtual Clusters only work when client traffic goes through Gateway, a proxy in the data path.
- Production access on request 6 out of 10
- Masking can exempt users or groups, which beats every other tool here on who sees unmasked data, and cross-team access requests are approved by the owning team, but no expiring grant is described and topic creation that passes policy is a direct API call.
- Audit trail per person 8 out of 10
- Console logs produce, consume and admin requests across more than 70 event types with user, IP and timestamp, browsable in the UI and exported as CloudEvents.
- Managed connector operations 9 out of 10
- Conduktor’s Kafka Connect documentation has a section on enabling Confluent Cloud managed connectors with an API key, shows each connector’s task list, and sends its auto-restart, which checks every minute with a 10-minute window and keeps a history, to Confluent Cloud’s restart connector API; it notes that stop and offset operations are not available on some Confluent Cloud connectors.
- Directory and Kafka sign-in 7 out of 10
- Its SSO configuration covers LDAP and OIDC, with guides for Okta, Entra ID and Keycloak, and does not describe SAML.
- Many teams, shared clusters 7 out of 10
- Permissions are set per user or group across clusters, but a user in several groups inherits the most permissive grant, and Virtual Clusters for multi-tenancy need Gateway.
On managed connectors. Conduktor’s Console documents Confluent Cloud managed connectors on its Kafka Connect page: an API key and secret act as the username and password, and for those connectors the automatic restart calls Confluent Cloud’s restart connector API, which restarts the connector as a whole. The Conduktor review covers the rest.
Where it falls short. Console needs PostgreSQL. Conduktor’s data-level controls, such as encryption, masking of the data itself and virtual clusters for multi-tenancy, run in Gateway, a Kafka proxy that client applications connect through, a component Confluent does not run. On AWS Marketplace, Conduktor Enterprise lists Console at $1,200 a seat for the first 100 seats, Gateway Core, which carries virtual clusters, at $60,000 a year, and Gateway Protect, the add-on for encryption and masking, at a further $30,000.
Compare Conduktor review
What teams using Confluent Cloud Managed Connect need
This page is about tools for the team that runs Confluent Cloud’s fully managed connectors, the source and sink connectors Confluent runs on its own workers against a Confluent Cloud cluster, as Confluent’s connector overview describes. Confluent’s own console and CLI manage them natively, so the question is what a tool adds for a team where many engineers share the same connectors. Lenses and Redpanda Console are left out because neither documents Confluent’s managed connectors; Kafbat UI and AKHQ stay in as the most-used free UIs, scored for what they document. The cluster itself is covered in the best Kafka UI tools for Confluent Cloud, and self-managed workers in the best Kafka tools for Apache Kafka Connect.
Managed connectors are operated differently from Connect on a team’s own workers, and a tool built for one has to read the other on its own terms. The open-source Connect REST API restarts an individual task and, since KIP-745, only the failed tasks; the Confluent Cloud API reference for Connect has a status call that returns each task’s state, but its restart works on the connector as a whole and it has no endpoint for one task. The connector states differ too: Confluent’s Terraform connector resource lists PROVISIONING and DEGRADED among them, neither of which Apache Kafka Connect reports. The logs belong to Confluent as well, arriving as connector events that the console keeps for three days by default. Roughly half of Confluent’s connector catalog is open source and portable, but a sink and its complementary source connector are often licensed differently, as the migrating to open source Kafka session sets out, so a team that may later move some connectors to its own workers is better served by a tool that already shows both kinds in one place.
Out of the data path. Confluent runs the workers, so a management tool needs only two connections: HTTPS to the Connect API and an ordinary client connection to the Kafka cluster. A tool whose controls work only when client traffic passes through a proxy adds a component in front of the applications that Confluent does not run and that the team has to keep available. Kpow is one container with no external database, installed in your own environment and out of the data path. Conduktor Console also connects directly, with a PostgreSQL database of its own; Conduktor’s data-level controls, such as encryption, masking of the data itself and virtual clusters, run in Conduktor Gateway, a Kafka proxy that client applications connect through.
Two credentials, and who owns them. Every call to the managed Connect API carries a Cloud API key created with --resource cloud; Confluent’s Connect API guide says a key for the Kafka cluster in its place returns an authentication error. Inside each connector’s configuration sits a second credential, a Kafka API key and secret or a service account, plus whatever the connector needs for the system at the other end. Confluent’s service account guide for connectors adds that whoever creates a connector that references a service account must hold the Assigner role on it, so a shared tool that creates connectors needs that role for its own key’s owner as well. That makes connector creation and config edits the actions to gate most tightly in any tool.
Production access on request. Confluent’s predefined roles include ConnectManager, which can be bound to a single connector and lets the holder view and describe it, pause, restart and resume it, read its configuration and monitor its status, without creating or deleting connectors. That is a sound ceiling for an on-call role. What Confluent RBAC does not offer is a grant that expires after the task or a change held for a second person’s approval, and when engineers work through a shared tool, the tool’s key owner holds the role bindings, so per-person limits have to come from the tool. Those controls are compared across the field in Kafka RBAC tools.
Audit trail per person. Confluent’s audit log records connector activity under the calling principal, and its list of auditable connector methods is create, create or update, delete, get one, list, pause and resume. A restart is not among them. Through a shared tool, each of those records names the tool’s key owner, not the engineer. The record that says which person restarted or reconfigured a managed connector, and when, therefore has to come from the tool. The options are compared in Kafka audit logging tools.
Managed connector operations. The tool has to reach the Connect API at all, list connectors with their status and task states, create and edit them, and pause, resume and restart them at the level the API allows. Offsets of managed connectors can be read and changed through the API, the CLI and Terraform (managing offsets), which matters when a sink has to replay or skip data.
Directory and Kafka sign-in. People should sign in through the company directory over SAML, OpenID Connect or LDAP, so that a connector change carries a named person, while the tool itself holds the Cloud API key for the Connect API and its own credential for the cluster.
Many teams, shared clusters. Managed connectors on one Confluent Cloud cluster belong to many teams. Each team needs its own view of its own connectors, topics and consumer groups, and permission to touch only those.
No tool here leads on every point. The Confluent Cloud Console covers the managed service more fully than any other option, including connector events, offsets and custom connector plugins, and Conduktor documents automatic restarts for managed connectors through Confluent’s restart API, which Kpow’s provider page does not. Kpow governs people working through Kpow, so the permissions of its own Cloud API key remain the ceiling, and those are set in Confluent.
Who runs Kpow with Confluent Cloud
No Factor House customer has described in public managing Confluent’s fully managed connectors through Kpow. TD Bank is the closest public account: its Event Streaming Platform team runs Confluent Cloud beside on-premises clusters and showed the Connectors view in its talk, Running Kafka at bank scale, as part of day-to-day work in Kpow. Kpow’s Connect support is documented for self-managed Kafka Connect, Amazon MSK Connect and Confluent Cloud managed connectors, and the Confluent Cloud page carries the customers known to run Kpow on Confluent Cloud.
Which customer shows which criterion
- Production access on request
- TD Bank
- Directory and Kafka sign-in
- TD Bank
- Many teams, shared clusters
- TD Bank
-
TD Bank
- Production access on request
- Directory and Kafka sign-in
- Many teams, shared clusters
- On-prem and Confluent Cloud
- Connector triage
- Tenants per team
TD’s Event Streaming Platform runs more than 20 clusters across on-premises servers and Confluent Cloud, and its client teams and platform team all work in Kpow, with access by Active Directory group and a Kpow tenant and access policy for each onboarded team. In the talk, staff engineer Sandy Yang shows the Connectors view: when a connector fails, its menu either restarts it or shows why it failed, including the stack trace, which she calls “very convenient”. Production inspect access is granted for an hour or two through the Kpow API from a ServiceNow form. The talk does not say whether TD’s connectors run on Confluent’s managed service or on its own workers.
How a team runs Confluent Cloud Managed Connect with Kpow
Installing it in your own network. Kpow runs as one Docker container, a Java JAR or from the Helm charts. It needs no external database, because its snapshots, metrics and audit log live in topics on the Kafka cluster, and it connects to Confluent Cloud’s Kafka with an API key, an OAuth identity pool or mTLS as its Confluent Cloud cluster documentation describes.
Creating the Cloud API key. Following the Confluent Managed Connect page, the key is created with confluent api-key create --resource cloud after confluent login, and the environment and cluster IDs come from confluent environments list or the Confluent Cloud URL. Confluent’s API key documentation is the guide to which account should own it: a service account created for Kpow, with role bindings sized for the connector actions Kpow should offer, keeps the key working when an engineer leaves. Where Kpow should only operate connectors, ConnectManager on those connectors is enough; creating connectors that reference a service account also needs the Assigner role on it.
Connecting the managed connectors. Kpow treats the Connect API for one environment and cluster as a Connect cluster: CONNECT_REST_URL points at https://api.confluent.cloud/connect/v1/environments/${ENVIRONMENT_ID}/clusters/${CLUSTER_ID}, CONNECT_AUTH=BASIC, and the key and secret go in CONNECT_BASIC_AUTH_USER and CONNECT_BASIC_AUTH_PASS. Self-managed Connect clusters and MSK Connect are added beside it through the Kafka Connect configuration and the MSK Connect provider page, so a team with connectors in several places reads them in one view.
Creating and changing connectors. The Kafka Connect management page covers creating a connector from a form with the plugin’s documentation beside each field and errors shown as the config is entered, exporting it as a REST call for a deployment pipeline, and pausing, restarting or deleting a connector and viewing or editing its config from the connector table. Confluent’s API restarts a managed connector as a whole, which is the level a restart can act at there, and the connector’s config carries the Kafka credential or service account Confluent requires.
Deciding who may do what. Kpow’s authorization actions split Connect into CONNECT_CREATE, CONNECT_ALTER_STATE (pause, stop, resume and restart), CONNECT_EDIT_CONFIG, CONNECT_DELETE and CONNECT_INSPECT, and RBAC sets Allow, Deny or Stage per action on resources matched by pattern, so the on-call role can restart a team’s managed connectors without editing the configs that hold credentials. Tenants give each team a view limited to its own connectors, topics and groups. A temporary policy grants extra access for a set time and then expires, and staged mutations hold a connector deletion or config change until an administrator approves it.
Signing people in. Engineers sign in through SAML, OpenID Connect or LDAP, so every connector action carries a person from the company directory rather than the Cloud API key’s owner.
Keeping the record. The audit log records every connector action, restarts included, with the user from the identity provider, and a webhook sends those records to Slack, Microsoft Teams or any HTTP endpoint, such as a SIEM collector. Confluent’s own audit log then shows the same calls under Kpow’s service account, so the two records together say which person acted through which key.
Kpow live demo
See the Kpow UI before you connect your managed connectors
The live Kpow demo runs on two Apache Kafka clusters on Amazon MSK. It shows brokers, topics, consumer groups, schema registries and the __oprtr_audit_log topic where Kpow keeps its audit trail, with no signup. Connecting your own Confluent Cloud environment and its managed connectors is the step to try next.
For platform teams choosing a tool for Confluent Cloud managed connectors.
Try the Kpow demoFAQ
What is the best tool for Confluent Cloud managed connectors?
On this page’s rubric, Kpow, with 97 of 110 points: it reaches managed connectors through Confluent’s Connect API beside self-managed Connect and MSK Connect, splits connector permissions per action and per team, records every action against the person from the identity provider, and runs as one container in your own network with no external database. The Confluent Cloud Console is second with nothing to deploy and the fullest coverage of the service.
Does Kpow support Confluent Cloud Managed Connect?
Yes, since Kpow 89.1 in August 2022. Its Confluent Managed Connect page sets CONNECT_REST_URL to the Confluent Cloud Connect API for an environment and cluster, with a Cloud API key and secret over basic authentication.
Which API key does a tool need for managed connectors?
A Cloud API key, created with confluent api-key create --resource cloud. Confluent’s Connect API guide says a Kafka cluster key in the request returns an authentication error; the cluster key, or a service account, belongs inside the connector’s configuration instead.
Does Confluent’s audit log record who restarted a managed connector?
Confluent’s list of auditable connector methods covers creating, updating, deleting, reading, listing, pausing and resuming connectors, each against the calling principal, and does not include a restart. A tool that records its own actions per person, as Kpow does in its audit log, fills that gap.
Can I restart a single task of a managed connector?
Not through Confluent’s Connect API: the Confluent Cloud API reference has a restart for the connector as a whole and a status call that returns each task’s state, but no restart for one task. On self-managed Connect, the open-source REST API restarts single tasks or only the failed ones.
Is there a free tool for Confluent Cloud managed connectors?
The Confluent Cloud Console and CLI come with Confluent Cloud. Kpow Community Edition is free on up to 3 clusters and 10 users; RBAC, masking, staged approvals and the full audit log need Kpow Enterprise. Kafbat UI and AKHQ are open source but do not describe managed connectors. More free options are compared in the best free Kafka UI tools.
How these tools were scored
Five of the six criteria are the ones Factor House scores on every page for teams that share a Kafka cluster; the sixth is managed connector operations. They are listed here in order of weight. Each criterion is scored 0 to 10: 10 where a tool is the only one here doing it or clearly the best, 8 for a clean documented pass, 5 or 6 for partial support or support that needs work the reader must verify, 1 to 4 for a weak or indirect form, and 0 where it is absent. Where a tool was already scored on the same criterion and evidence on another Factor House page, it keeps that score here. The weights add up to 11, so totals are out of 110.
1. Out of the data path (counts three times). The tool should run in your own environment, reach Kafka as an ordinary client and the managed connectors through Confluent’s Connect API, and keep no data outside your own cluster. Scored lower: tools that need an external database of their own, and tools whose controls work only when application traffic passes through a vendor’s proxy. A self-hosted container with no external database and no proxy scores 9, a tool with a database of its own 6, one with several databases or an agent per cluster 4, and one that needs both a database and a proxy for its controls 3; 10 is kept for an option with nothing to deploy at all, which here is the Confluent Cloud Console and the Confluent CLI, API and Terraform. This criterion is scored the same way on every Factor House page that uses it, and only its weight changes with the reader.
2. Production access on request (counts twice). Whether an engineer can be granted access to production for one task and have it expire, whether a destructive change can be held for a second person’s approval, and whether sensitive fields can be masked from people who do not need them.
3. Audit trail per person (counts twice). Whether the tool records each action, reads and restarts included, against the person from the identity provider, and whether that record can be read in the product and sent to the systems that keep it long term.
4. Managed connector operations (counts twice). Whether the tool documents Confluent Cloud’s fully managed connectors, and for them shows status and task states, creates and edits connectors, pauses, resumes and restarts them, restarts failed connectors automatically, and manages offsets, events and custom connectors. A tool that reaches only self-managed Connect clusters by URL and does not describe managed connectors scores 2.
5. Directory and Kafka sign-in (counts once). Whether people sign in through SAML, OpenID Connect or LDAP, and whether the tool connects to Kafka with the same SASL or TLS settings as any client and to the Connect API with a Cloud API key.
6. Many teams, shared clusters (counts once). Whether each team can be given its own view of, or permissions on, its own topics, consumer groups and connectors on a shared cluster.
Costs are modelled for one production Confluent Cloud cluster with its managed connectors and 25 engineers at $120 per engineer hour, using the same hours per tool class as Factor House’s other comparison pages; Confluent’s own connector charges apply whichever tool is used and are left out. Tools with a licence carry the published price plus 2 hours a month to run. The open-source UIs carry 6 hours a month, $8,640 a year, to run, secure and keep current, and scripts and Terraform against the Connect API carry 8 hours a month, $11,520. Kpow’s $7,380 uses the published price of $4,500 per cluster with 100 users included. Conduktor’s Console is $1,200 a seat on AWS Marketplace, and its Gateway Core and Gateway Protect prices are added for the data-level controls; Conduktor prices Gateway per cluster with a 3-cluster minimum, and the listing does not say how many clusters that figure covers. Kpow Community Edition is free for 3 clusters and 10 users, so a 25-engineer team is on Enterprise. For free options compared at any team size, see the best free Kafka UI tools.
The criteria map onto how Confluent Cloud runs managed connectors in the figure below.
Every option is scored from 0 to 10 on each criterion, from the evidence and sources this page cites, and the reason for each score is on its card. The criteria are weighted: Out of the data path counts three times, Production access on request counts twice, Audit trail per person counts twice, Managed connector operations counts twice, Directory and Kafka sign-in counts once and Many teams, shared clusters counts once, for a total out of 110. Out of the data path counts three times. Confluent already runs the connectors, so a tool whose controls work through a proxy adds a component in front of the applications and the connectors' own clients that Confluent does not run, and a tool that needs a database of its own is one more stateful service to keep beside a managed one. Production access on request, the per-person audit trail and managed connector operations count twice: a shared tool calls Confluent's Connect API with one cloud API key, so Confluent's role bindings and audit records see that key's owner rather than the engineer, and who may create or change a connector whose configuration carries Kafka and database credentials, and who did, has to come from the tool; a tool that cannot reach the managed connectors at all leaves the team in Confluent's console or on curl. Directory sign-in and shared clusters count once. This page is published by Factor House, which makes Kpow. Every option is scored on the same rubric and the same sources: Kpow's per-criterion scores are set the same way as every other option's and are not adjusted, and the weights apply to every option alike. Kpow ranks first on its total of 97 out of 110. The other options follow by total. Conduktor is listed last whatever its total; on its total of 69 it would place fourth.