Softwr

Log Management · head to head

Elastic Stack vs TimescaleDB

Elastic Stack logo

Elastic Stack

Log Management

Search, Observability, and Security Solutions

From
On request
Rated
-
Full reviewWebsite
TimescaleDB logo

TimescaleDB

Database & Data Management

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only TimescaleDB has a free tier, so it costs nothing to try first.
  • Each has a real cost: Elastic Stack self-managed deployment requires licensing based on node count and RAM usage; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: Elastic Stack covers Full-text search, TimescaleDB covers Time-series Optimization.

Where they differ

Only the attributes on which Elastic Stack and TimescaleDB actually diverge.

Attributes where Elastic Stack and TimescaleDB differ
AttributeElastic StackTimescaleDB
Starting priceOn requestFree
Pricing modelsubscriptionUnknown
Free tierNoYes
PlatformsCloud-hosted, Self-managed, Docker, Kubernetes (ECK)Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
CategoryLog ManagementDatabase & Data Management
Founded20112012

Identical on both: 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 Elastic Stack

  • Full-text search
  • Log analytics
  • Security monitoring
  • Alerting
  • API
  • Webhooks
  • REST
  • Api support

Only in TimescaleDB

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

Both cover

  • Web support

What people use each for

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

Elastic Stack

  • Distributed search and analytics engine for production-scale workloadsnot TimescaleDB
  • Full-text search and vector search with approximate nearest neighbour supportnot TimescaleDB
  • Security event tracking with field-level and document-level access controlnot TimescaleDB
  • Machine learning capabilities including anomaly detection and forecastingnot TimescaleDB

TimescaleDB

  • Monitoringnot Elastic Stack
  • IoT datanot Elastic Stack
  • Financial datanot Elastic Stack
  • Log analyticsnot Elastic Stack
  • Observabilitynot Elastic Stack

Where each one falls short

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

Elastic Stack

  • Self-managed deployment requires licensing based on node count and RAM usage
  • Serverless option has pending features including traffic filtering and bring-your-own-key encryption
  • Hosted deployment requires custom resource configuration for cluster management
  • Pricing models differ significantly across Hosted, Serverless, and Self-managed options

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

Elastic Stack

On request

No published plan breakdown. See the Elastic Stack review.

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 Elastic Stack if

  • You need full-text search.
  • You work on Cloud-hosted, Self-managed, Docker, Kubernetes (ECK).
  • You also want log analytics.
Elastic Stack 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 Elastic Stack or TimescaleDB better?
Neither clearly leads. Elastic Stack starts at On request and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Elastic Stack or TimescaleDB?
TimescaleDB has a free tier; the other does not. Paid plans start at On request for Elastic Stack and Free for TimescaleDB.
Does Elastic Stack or TimescaleDB run on more platforms?
Elastic Stack runs on Cloud-hosted, Self-managed, Docker, Kubernetes (ECK). TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
Can I use TimescaleDB for free?
Yes. TimescaleDB has a free tier, so you can try it without paying. Elastic Stack starts at On request.
What is Elastic Stack best used for?
Elastic Stack is most often used for distributed search and analytics engine for production-scale workloads, full-text search and vector search with approximate nearest neighbour support, security event tracking with field-level and document-level access control, machine learning capabilities including anomaly detection and forecasting. Of those, distributed search and analytics engine for production-scale workloads and full-text search and vector search with approximate nearest neighbour support are not what TimescaleDB is typically brought in for.
What can Elastic Stack do that TimescaleDB cannot?
Elastic Stack covers Full-text search, Log analytics, Security monitoring, Alerting. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle Web support.

Answered from the vendors’ own pages

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
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
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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