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Jikkou vs Keel
Keel provides backend services and team tools, whereas Jikkou manages Kafka resources via GitOps.
JikkouThe Resource as Code framework for Apache Kafka. Leveraging GitOps for Kafka at scale!
KeelThe backend for your apps, the tools for your teamsSide by side
- What it is
- Jikkou:Jikkou is an open-source GitOps framework for declaratively managing Kafka resources via YAML and CI pipelines.
- Keel:Keel provides a code-first backend platform with instant internal tools, schema-driven APIs, and full-stack operations features.
- Best for
- Jikkou:GitOps-driven Kafka resource management
- Keel:Code-first backend with built-in internal tools
- Who it’s for
- Jikkou:Platform, DevOps/SRE, and application teams that operate Apache Kafka clusters.
- Keel:Engineers building operational backends and internal tools for fast-moving teams
- Pricing
- Jikkou:Open source
- Keel:Contact sales
- Open source
- Jikkou:Yes, 310 GitHub stars
- Keel:—
- Works with
- Jikkou:Apache Kafka, Confluent Cloud, Aiven, Amazon MSK, Kafka Connect, AWS Glue
- Keel:VSCode extension
- DevHunt upvotes
- Jikkou:0
- Keel:46
- Launched on DevHunt
- Jikkou:Apr 2025
- Keel:Mar 2024
Jikkou features
- Stateless reconciliation. Diffs Git definitions against the live cluster and applies only the necessary changes.
- Multi-cluster support. Apply the same YAML across on-prem, Confluent Cloud, Aiven, MSK and other clusters.
- Templating at scale. Jinja templates and environment files let you define hundreds of similar topics efficiently.
- Dry-run mode. Preview exact changes without touching production resources.
- Validation policies. Enforce naming rules, ISR minimums, partition limits, and other policies before apply.
- CLI + REST API. Native command-line tool for CI and an API server for team-wide automation.
Keel features
- Schema-driven data model. Define data models, actions, and permissions in a clear schema that generates APIs and internal tools.
- TypeScript extensions. Write custom functions, jobs, and durable functions in TypeScript with full type safety.
- Version-controlled environments. Create multiple environments, branch deployments, and PR previews with audit trails.
- Built-in testing framework. Generate type-safe end-to-end tests from the schema for actions, functions, and jobs.
- Instant internal tools. Automatically generate UI tools for ops teams that stay in sync with schema changes.
- Serverless infrastructure. Managed, multi-region PostgreSQL and serverless runtime scales from first to millionth user.
Based on each tool's website and DevHunt data. Details may change; check the official sites.