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Apache Kafka vs Decodable

Apache Kafka logo

Apache Kafka

Databases

Open-source distributed event streaming platform

From
Free
Rated
-
Full reviewWebsite
Decodable logo

Decodable

Automation Integration

Managed Apache Flink and Debezium with credit-based pricing and a free tier

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Apache Kafka operationally heavy to self-host: brokers, storage, rebalancing and upgrades are a standing job, which is why managed Kafka is a large market; Decodable credit pricing rewards intermittent work and penalises always-on pipelines: a single small task running continuously costs roughly 86 US dollars a month before any parallelism.
  • They diverge on capability: Apache Kafka covers Durable commit log, Decodable covers Managed Flink.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Apache Kafka and Decodable actually diverge.

Attributes where Apache Kafka and Decodable differ
AttributeApache KafkaDecodable
Pricing modelOpen source, no licence fee; managed services billed separatelyPer credit by task hour
PlatformsLinux, Windows, macOS, Self-hosted, DockerWeb, Linux
CategoryDatabasesAutomation Integration

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Apache Kafka

  • Durable commit log
  • Horizontal scale
  • Kafka Connect
  • Kafka Streams
  • Replication
  • Low latency

Only in Decodable

  • Managed Flink
  • Change data capture
  • SQL pipelines
  • Custom Flink jobs
  • Credit-based metering
  • Managed connectors

What people use each for

The jobs each tool is most often brought in to do.

Apache Kafka

  • Moving events between services without point-to-point couplingnot Decodable
  • Feeding analytics and warehouses from operational systems in near real timenot Decodable
  • Replaying history to rebuild state after a consumer bugnot Decodable
  • Buffering bursty producers ahead of slower downstream systemsnot Decodable

Decodable

  • Streaming Postgres change data capture into Snowflake or Iceberg without running Debezium and Kafka Connect yourselfnot Apache Kafka
  • Real-time enrichment and filtering of event streams before they reach an expensive warehousenot Apache Kafka
  • A team that already writes Flink jobs but does not want to operate the cluster, checkpoint store or upgradesnot Apache Kafka
  • Replacing a fragile set of cron jobs and Lambda functions that move data between operational systemsnot Apache Kafka

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Apache Kafka

  • Operationally heavy to self-host: brokers, storage, rebalancing and upgrades are a standing job, which is why managed Kafka is a large market
  • Overkill for straightforward job queues, where a simpler broker is easier to run and reason about
  • Ordering guarantees hold per partition, not per topic, and getting partitioning wrong is a common and expensive design mistake
  • The ecosystem is fragmented across the Apache project and vendor distributions, so documentation and tooling advice often assume a particular distribution

Decodable

  • Credit pricing rewards intermittent work and penalises always-on pipelines: a single small task running continuously costs roughly 86 US dollars a month before any parallelism.
  • Parallelism multiplies tasks, so scaling a pipeline to keep up with throughput multiplies the bill in a way that is easy to under-forecast at design time.
  • The free tier retains streams for only 24 hours, which is too short to debug an intermittent failure that surfaces days later.
  • Java and Python transformations are gated behind paid plans, so anything the SQL layer cannot express means moving off the free tier immediately.
  • The operational layer is proprietary even though Flink and Debezium are not, so migrating to self-managed Flink later means rebuilding connectors, schema handling and monitoring from scratch.

Pricing, plan by plan

Apache Kafka

Free
  • Apache KafkaFree
    • Full platform
    • Kafka Connect
    • Kafka Streams

Decodable

Free
  • FreeFree
    • Up to four concurrent tasks
    • Small and medium task sizes
    • 24 hour or 10 GB stream retention
  • On Demand$undefined/month
    • 0.12 USD per credit, billed monthly
    • Unlimited concurrent tasks
    • Small, medium and large task sizes
  • Enterprise$undefined/year
    • 0.10 USD per credit on pre-purchased annual capacity
    • Custom task sizes
    • Extensible retention

Which should you pick?

Choose Apache Kafka if

  • You need durable commit log.
  • You want to start without paying.
  • You work on Linux, Windows, macOS, Self-hosted, Docker.
  • You also want horizontal scale.
Apache Kafka review

Choose Decodable if

  • You need managed flink.
  • You want to start without paying.
  • You work on Web, Linux.
  • You also want change data capture.
Decodable review

Questions people ask

Is Apache Kafka or Decodable better?
Neither clearly leads. Apache Kafka starts at Free and Decodable at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Kafka or Decodable?
Apache Kafka starts at Free and Decodable at Free.
Does Apache Kafka or Decodable run on more platforms?
Apache Kafka runs on Linux, Windows, macOS, Self-hosted, Docker. Decodable runs on Web, Linux.
Can I use Apache Kafka for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Kafka best used for?
Apache Kafka is most often used for moving events between services without point-to-point coupling, feeding analytics and warehouses from operational systems in near real time, replaying history to rebuild state after a consumer bug, buffering bursty producers ahead of slower downstream systems. Of those, moving events between services without point-to-point coupling and feeding analytics and warehouses from operational systems in near real time are not what Decodable is typically brought in for.
What can Apache Kafka do that Decodable cannot?
Apache Kafka covers Durable commit log, Horizontal scale, Kafka Connect, Kafka Streams. Decodable covers Managed Flink, Change data capture, SQL pipelines, Custom Flink jobs.

Answered from the vendors’ own pages

Apache Kafka: Is Apache Kafka free?

Yes. Kafka is open source under the Apache License v2 with no licence fee. Costs come from the infrastructure you run it on, or from a managed service such as Confluent Cloud.

Decodable: What is a credit worth?

0.12 US dollars on On Demand and 0.10 on Enterprise. A small task consumes one credit per hour, medium two, large four.

Apache Kafka: How is Kafka different from a message queue?

A queue usually removes a message once it is consumed. Kafka keeps an ordered, durable log, so consumers track their own position and history can be replayed — which is what makes rebuilding state after a bug possible.

Decodable: Is there a free plan?

Yes, up to four concurrent tasks with 24 hour or 10 GB stream retention.

Apache Kafka: Who uses Kafka?

The project reports use by more than 80% of the Fortune 100, with over 5 million lifetime downloads.

Decodable: Is it really Apache Flink underneath?

Yes, Flink for processing and Debezium for change data capture, both managed by Decodable.

Apache Kafka: Do I need to run Kafka myself?

No. Self-hosting is the operationally expensive option; managed services such as Confluent Cloud run the brokers for you and bill on throughput and storage instead.

Decodable: Can I run my own Flink jobs?

Yes, Java and Python jobs on paid plans; the free plan is SQL only.

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