shouldiuse.io

VERDICT

Should I use TigerData (formerly Timescale)?

Time-Series PostgreSQL at Petabyte Scale — from the creators of TimescaleDB - tigerdata.com

Depends. Buy it if you're ingesting terabytes-to-petabytes of time-series data and want to stay on PostgreSQL. Skip it if vanilla Postgres handles your volume — you'd pay enterprise-scale prices for headroom you won't use.

Confidence

Medium. Based on ~14 public sources; most are vendor-published (homepage, careers, security page). No independent review platforms surfaced.

Ratings

  • Value for moneyNo public pricing evidence available
  • Ease of use
  • Feature depth
  • Support quality
  • Security posture

Pricing

Not disclosed

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed

Best for

  • IoT and sensor telemetry
  • Infrastructure monitoring at terabyte+ scale
  • Postgres-native engineering teams
  • Financial tick and event data

Not for

  • Small apps — plain Postgres suffices
  • Non-time-series CRUD workloads
  • Teams needing published, predictable pricing
  • No-SQL-skills buyers wanting a no-code store

Gotchas - check before you buy

high

Migrating off a petabyte-scale managed database is slow and expensive — plan your exit path early

medium

Cloud costs scale with ingestion and retention; model your data growth before committing

medium

Thin independent reviews; run the free trial against your real workload before buying

low

Two products — Tiger Cloud versus self-managed Enterprise — confirm which one you're actually buying

Pros and cons

Pros

  • Petabyte-scale ingest and storage while staying on standard PostgreSQL
  • Queries live and historical data together in one database
  • 200+ SQL functions built for time-based analytics
  • Cloud and self-managed on-prem deployment options
  • 2,000+ customers across 25+ countries

Cons

  • Built for petabyte scale — heavy for small or mid-size workloads
  • No published pricing; trial or demo needed to learn cost
  • Timescale-to-TigerData rebrand creates naming and documentation confusion
  • No independent review ratings found; sources are vendor-published

Sources & method

Analyzed 9/22/2026 - 6 sources - No known vulnerabilities found in the sources reviewed.

official x3review x1security x1news x1

Key stats

  • Ease of use: 4/5

    Rating

  • Not disclosed

    Starting price

  • 6

    Sources

  • Analyzed

  • Value for money. No public pricing evidence available
  • Ease of use: 4/5. Standard PostgreSQL skills and tooling transfer directly
  • Feature depth: 4/5. 200+ time-series functions; live plus historical queries; Iceberg replication
  • Support quality: 3/5. Dedicated customer experience roles; no user support reviews found
  • Security posture: 3/5. Public security page and security hiring; no independent audits cited
  • 2,000+ Customers across 25+ countries
  • 2017 Founded as Timescale; rebranded to TigerData
  • 200+ Time-series SQL functions for time-based analytics
  • Undisclosed Pricing free trial; demo for quotes

Pricing

Not disclosed

Security

No known vulnerabilities found in the sources reviewed.

What users say

No independent user reviews surfaced in these sources; material is almost entirely vendor-published.

Alternatives

Compare TigerData (formerly Timescale) with each alternative.

  • TimescaleDB (self-hosted)

    Free open-source extension; same engine without Tiger Cloud pricing

  • Plain PostgreSQL

    Handles years of data for most teams before you need petabytes

  • InfluxDB

    Purpose-built time-series database; simpler for pure telemetry

Companies that use it

Full analysis

Based on ~14 public sources; most are vendor-published (homepage, careers, security page). No independent review platforms surfaced.

Serious Postgres-based time-series platform for petabyte scale — overkill unless your data is measured in terabytes.

Methodology

Based on ~14 public sources; most are vendor-published (homepage, careers, security page). No independent review platforms surfaced.

Sources

  1. TigerData homepagetigerdata.com
    official
  2. security
  3. official
  4. official
  5. review
  6. news

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