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Databases · head to head

Redpanda vs TimescaleDB

Redpanda logo

Redpanda

Databases

Kafka-compatible streaming platform with no ZooKeeper or JVM

From
Free
Rated
-
Full reviewWebsite
TimescaleDB logo

TimescaleDB

Databases

Time-series database built on PostgreSQL for real-time analytics

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Redpanda the community edition is source-available rather than OSI open source, which matters for some procurement; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: Redpanda covers Kafka API compatible, TimescaleDB covers Time-series Optimization.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Redpanda and TimescaleDB actually diverge.

Attributes where Redpanda and TimescaleDB differ
AttributeRedpandaTimescaleDB
Pricing modelSource-available community edition with paid enterprise and cloud tiersUnknown
PlatformsLinux, Docker, Kubernetes, Self-hostedLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
FoundedUnknown2012

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

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 Redpanda

  • Kafka API compatible
  • No JVM or ZooKeeper
  • Thread-per-core
  • Built-in HTTP proxy and schema registry

Only in TimescaleDB

  • Time-series Optimization
  • PostgreSQL Extension
  • Automatic Partitioning
  • Continuous Aggregates
  • Native Compression
  • Full SQL Support
  • Real-time Analytics
  • PostgreSQL

What people use each for

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

Redpanda

  • Kafka workloads where the operational cost of running Kafka is the blockernot TimescaleDB
  • Latency-sensitive streaming where tail latency mattersnot TimescaleDB
  • Smaller teams wanting streaming without a dedicated platform groupnot TimescaleDB

TimescaleDB

  • Monitoringnot Redpanda
  • IoT datanot Redpanda
  • Financial datanot Redpanda
  • Log analyticsnot Redpanda
  • Observabilitynot Redpanda

Where each one falls short

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

Redpanda

  • The community edition is source-available rather than OSI open source, which matters for some procurement
  • Kafka API compatibility is high but not total, and deep ecosystem tools can hit gaps
  • Smaller community than Kafka, so fewer people have solved your problem before
  • Some operational and tiered-storage features are enterprise-only

TimescaleDB

  • Inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • Operational complexity increases significantly at scale, requiring expertise in chunk tuning and autovacuum management
  • Bloom filter indexes on compressed columns can return incorrect query results before upgrade
  • PostgreSQL 15 support ending June 2026, forcing mandatory upgrades to PostgreSQL 16 or later

Pricing, plan by plan

Redpanda

Free
  • CommunityFree
    • Kafka-compatible broker
    • Single binary
    • Community support

TimescaleDB

Free
  • Open SourceFree
    • Self-hosted TimescaleDB
    • MIT-licensed core
    • Full PostgreSQL compatibility
  • Scale Plan (Cloud)$36/month
    • Compute and storage charges
    • Multi-node HA
    • Unlimited VPCs

Which should you pick?

Choose Redpanda if

  • You need kafka api compatible.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want no jvm or zookeeper.
Redpanda review

Choose TimescaleDB if

  • You need time-series optimization.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
  • You also want postgresql extension.
TimescaleDB review

Questions people ask

Is Redpanda or TimescaleDB better?
Neither clearly leads. Redpanda starts at Free and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Redpanda or TimescaleDB?
Redpanda starts at Free and TimescaleDB at Free.
Does Redpanda or TimescaleDB run on more platforms?
Redpanda runs on Linux, Docker, Kubernetes, Self-hosted. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
Can I use Redpanda for free?
Both have a free tier, so you can try either at no cost before committing.
What is Redpanda best used for?
Redpanda is most often used for kafka workloads where the operational cost of running kafka is the blocker, latency-sensitive streaming where tail latency matters, smaller teams wanting streaming without a dedicated platform group. Of those, kafka workloads where the operational cost of running kafka is the blocker and latency-sensitive streaming where tail latency matters are not what TimescaleDB is typically brought in for.
What can Redpanda do that TimescaleDB cannot?
Redpanda covers Kafka API compatible, No JVM or ZooKeeper, Thread-per-core, Built-in HTTP proxy and schema registry. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates.

Answered from the vendors’ own pages

Redpanda: Is Redpanda free?

A community edition is free and source-available. Enterprise features and Redpanda Cloud are paid, and the licence is not OSI open source.

TimescaleDB: Is TimescaleDB free?

Yes. TimescaleDB is free and open source under the Timescale License. The managed cloud service offers a free trial with $1,000 in credits expiring in 30 days.

Source
Redpanda: Can I use my Kafka clients?

Yes. Redpanda implements the Kafka API, so existing clients and most tooling connect without changes.

TimescaleDB: What database does TimescaleDB run on top of?

TimescaleDB is a PostgreSQL extension that runs on top of PostgreSQL. You retain full PostgreSQL compatibility including SQL queries, transactions, and ecosystem tools.

Source
Redpanda: Why remove ZooKeeper and the JVM?

Both are significant sources of Kafka’s operational burden — tuning, coordination and failure modes. Removing them is the core of Redpanda’s pitch.

TimescaleDB: How much can TimescaleDB compress data?

TimescaleDB offers transparent columnar compression that can reduce storage by up to 95%. Newer data remains in row-oriented format for fast writes, while older data is automatically compressed to the column store.

Source
TimescaleDB: Does TimescaleDB require manual partitioning?

No. TimescaleDB handles automatic time-based partitioning through hypertables. Data is automatically chunked based on time intervals, requiring no manual partition management.

Source
TimescaleDB: What PostgreSQL versions does TimescaleDB support?

As of October 2025, TimescaleDB requires PostgreSQL 16 or greater. PostgreSQL 15 support will end with the June 2026 release, after which all instances must upgrade to PostgreSQL 16.

Source
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