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ELK Stack vs TimescaleDB

ELK Stack logo

ELK Stack

Software

Open Source Search and Log Analytics

From
Free
Rated
-
Full reviewWebsite
TimescaleDB logo

TimescaleDB

Software

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: ELK Stack the free Basic self managed subscription excludes machine learning, alerting, single sign on via SAML or OpenID Connect, LDAP and Active Directory authentication, field and document level security, searchable snapshots and cross cluster replication; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: ELK Stack covers Full-text search, TimescaleDB covers Time-series Optimization.

Where they differ

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

Attributes where ELK Stack and TimescaleDB differ
AttributeELK StackTimescaleDB
Pricing modelopen-sourceUnknown
PlatformsWeb, ApiLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
Founded20112012

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

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 ELK Stack

  • Full-text search
  • Data visualization
  • Log aggregation
  • Time-series analytics
  • 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.

ELK Stack

  • Centralised log search and analytics over Elasticsearchnot TimescaleDB
  • Dashboards and visualisation of machine data in Kibananot TimescaleDB
  • Self managing a search and observability cluster on your own hardwarenot TimescaleDB

TimescaleDB

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

Where each one falls short

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

ELK Stack

  • The free Basic self managed subscription excludes machine learning, alerting, single sign on via SAML or OpenID Connect, LDAP and Active Directory authentication, field and document level security, searchable snapshots and cross cluster replication
  • Cross cluster operations require the same subscription tier on every cluster involved
  • The 99.95 percent monthly uptime SLA applies only to the Platinum and Enterprise subscription tiers
  • Three deployment models are priced on three different bases: resource based for Cloud Hosted, usage based for Serverless and licence based on nodes and RAM for self managed
  • Elastic Cloud Serverless does not yet support traffic filtering, cross project search or bring your own key
  • The pricing page publishes no rate for any tier

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

ELK Stack

Free
  • FreeFree
    • Full-text search
    • Data visualization
    • Log aggregation

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 ELK Stack if

  • You need full-text search.
  • You want to start without paying.
  • You work on Web, Api.
  • You also want data visualization.
ELK 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 ELK Stack or TimescaleDB better?
Neither clearly leads. ELK Stack 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, ELK Stack or TimescaleDB?
ELK Stack starts at Free and TimescaleDB at Free.
Does ELK Stack or TimescaleDB run on more platforms?
ELK Stack runs on Web, Api. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
Can I use ELK Stack for free?
Both have a free tier, so you can try either at no cost before committing.
What is ELK Stack best used for?
ELK Stack is most often used for centralised log search and analytics over elasticsearch, dashboards and visualisation of machine data in kibana, self managing a search and observability cluster on your own hardware. Of those, centralised log search and analytics over elasticsearch and dashboards and visualisation of machine data in kibana are not what TimescaleDB is typically brought in for.
What can ELK Stack do that TimescaleDB cannot?
ELK Stack covers Full-text search, Data visualization, Log aggregation, Time-series analytics. 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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