shouldiuse.io

VERDICT

Should I use Starburst?

Your hub to all knowledge about Starburst products. - docs.starburst.io

Depends. Buy it if you're a large organization querying data spread across many systems and you have data engineers to run it. Skip it if you need simple analytics on one warehouse — open-source Trino or your warehouse's native tools cost far less.

Confidence

Medium. Based on 12 usable public sources; several review snippets were truncated. Candy-brand results were excluded.

Ratings

  • Value for moneyEnterprise pricing undisclosed; only free tier public
  • Ease of useNo usability evidence in reviewed sources
  • Feature depth
  • Support qualityOnly a support portal cited; no ratings
  • Security posture

Pricing

$0

Starburst Galaxy (free tier)

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes
Starburst EnterpriseCustom (not published)

Best for

  • Enterprises with data spread across many sources
  • Data platform teams needing governed federated queries
  • Orgs building AI/analytics on a lakehouse
  • Companies with dedicated data engineering staff

Not for

  • Small teams that just need dashboards on one database
  • Startups without a data engineering team
  • Buyers wanting transparent, self-serve pricing
  • Anyone whose data fits in Postgres plus a spreadsheet

Gotchas - check before you buy

medium

Enterprise pricing not published — expect sales negotiation, not a rate card

medium

Galaxy adopted usage-based billing; heavy query volume will drive costs up

medium

Built on their Trino distribution — lock-in complicates migrating back to open source

low

Track their security advisories; Log4Shell response shows patching is on you

Pros and cons

Pros

  • Strong ratings: 4.4/5 on G2 across 104 reviews
  • Queries data across many sources without moving it
  • Built-in access control and enterprise security features
  • Free $0 entry tier via Starburst Galaxy
  • Well funded: $250M Series D, Citi strategic investment

Cons

  • Enterprise pricing opaque; contact-sales beyond the free tier
  • Core engine is open-source Trino — a free alternative exists
  • Guess: needs a dedicated data-engineering team to deploy and operate

Sources & method

Analyzed 9/21/2026 - 12 sources - Mature posture: advisories, vulnerability scans, built-in access control; a 2024 CVE touched Starburst-based Dell Data Lakehouse.

official x2review x3security x3news x4
  • CVE-2024-38302, Listed by NVD against Dell Data Lakehouse, which runs Starburst-based software.
  • Log4Shell advisory, Starburst published guidance for the Log4j vulnerability affecting its Java-based platform.

Key stats

  • Feature depth: 5/5

    Rating

  • $0

    Starting price

  • 12

    Sources

  • Analyzed

  • Value for money. Enterprise pricing undisclosed; only free tier public
  • Ease of use. No usability evidence in reviewed sources
  • Feature depth: 5/5. Federated queries, access control, catalog, AI platform
  • Support quality. Only a support portal cited; no ratings
  • Security posture: 4/5. Public advisories, scans, access control; one CVE
  • 4.4/5 G2 rating 104 reviews
  • 4.3/5 AWS Marketplace (Galaxy) 123 reviews
  • $250M Series D Total raised Plus $100M Series C led by a16z
  • 200+ Claimed customers Enterprise data teams

Pricing

Starburst Galaxy (free tier)

$0

  • Free entry point
  • Managed cloud service
  • Usage-based billing beyond free

Starburst Enterprise

Not disclosed

  • Self-managed or cloud deployment
  • Sales-led pricing

Security

Mature posture: advisories, vulnerability scans, built-in access control; a 2024 CVE touched Starburst-based Dell Data Lakehouse.

  • CVE-2024-38302Listed by NVD against Dell Data Lakehouse, which runs Starburst-based software.⁷
  • Log4Shell advisoryStarburst published guidance for the Log4j vulnerability affecting its Java-based platform.⁸

What users say

Sentiment is positive: 4.4/5 across 104 G2 reviews and 4.3/5 (123 reviews) for Galaxy on AWS Marketplace.

Companies that use it

  • Priceline
  • Switch
  • Dell (OEM, Data Lakehouse)⁷
Full analysis

Based on 12 usable public sources; several review snippets were truncated. Candy-brand results were excluded.

Enterprise Trino-based query engine. Powerful for multi-source data; overkill and opaque-priced for small teams.

Methodology

Based on 12 usable public sources; several review snippets were truncated. Candy-brand results were excluded.

Sources

  1. review
  2. review
  3. review
  4. official
  5. official
  6. security
  7. security
  8. security
  9. news
  10. news
  11. news
  12. news

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