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Databases · head to head

ClickHouse vs Decodable

ClickHouse logo

ClickHouse

Databases

Fast open-source column-oriented database for real-time analytics

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: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; 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: ClickHouse covers Column-oriented Storage, Decodable covers Managed Flink.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which ClickHouse and Decodable actually diverge.

Attributes where ClickHouse and Decodable differ
AttributeClickHouseDecodable
Pricing modelUnknownPer credit by task hour
PlatformsLinux, macOS, Windows (via Docker)Web, Linux
CategoryDatabasesAutomation Integration
Founded2021Unknown

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 ClickHouse

  • Column-oriented Storage
  • Real-time Analytics
  • SQL Support
  • Linear Scalability
  • Data Compression
  • Vectorized Query Execution
  • Approximate Calculations
  • Kafka

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.

ClickHouse

  • Business intelligencenot Decodable
  • Data warehousingnot Decodable
  • Real-time analyticsnot Decodable
  • Reportingnot Decodable
  • Machine learningnot Decodable

Decodable

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

Where each one falls short

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

ClickHouse

  • Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
  • Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
  • Experimental vector search support, not production-ready for vector operations
  • Different query syntax from standard SQL requiring migration planning
  • Limited JOIN capabilities compared to traditional relational databases
  • Migration complexity with 2-4 weeks estimated for data type mapping and query translation

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

ClickHouse

Free

No published plan breakdown. See the ClickHouse review.

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 ClickHouse if

  • You need column-oriented storage.
  • You want to start without paying.
  • You work on Linux, macOS, Windows (via Docker).
  • You also want real-time analytics.
ClickHouse 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 ClickHouse or Decodable better?
Neither clearly leads. ClickHouse 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, ClickHouse or Decodable?
ClickHouse starts at Free and Decodable at Free.
Does ClickHouse or Decodable run on more platforms?
ClickHouse runs on Linux, macOS, Windows (via Docker). Decodable runs on Web, Linux.
Can I use ClickHouse for free?
Both have a free tier, so you can try either at no cost before committing.
What is ClickHouse best used for?
ClickHouse is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Decodable is typically brought in for.
What can ClickHouse do that Decodable cannot?
ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Decodable covers Managed Flink, Change data capture, SQL pipelines, Custom Flink jobs.

Answered from the vendors’ own pages

ClickHouse: What is ClickHouse best used for?

ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.

Source
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.

ClickHouse: Does ClickHouse support transactions?

ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.

Source
Decodable: Is there a free plan?

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

ClickHouse: How does ClickHouse compare to PostgreSQL?

ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.

Source
Decodable: Is it really Apache Flink underneath?

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

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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