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Databricks Review

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Should I use Databricks?

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform. - databricks.com

· 1 month ago

Buy if you run large-scale data/ML with dedicated data engineers and budget for cost management. Skip it if you are a small team needing simple, predictable analytics.

Confidence

High. Based on 30+ public sources including G2, Reddit, Gartner, vendor pricing analyses, and CVE databases.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualityNo support-quality evidence found
  • Security posture

Pricing

$0.07–$0.70 per DBU

Pay-as-you-go (DBUs)

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed

Best for

  • Enterprise data teams
  • Large-scale ETL and ML
  • Unified lakehouse with governance
  • AI-focused orgs on cloud data

Not for

  • Small teams wanting simple analytics
  • Startups without dedicated data engineers
  • Price-sensitive buyers needing predictable bills
  • Dashboard-only BI needs

Gotchas - check before you buy

high

DBU pricing is opaque; buyers report unpredictable bills and overruns

medium

You pay DBUs plus underlying cloud infrastructure separately

medium

Alinta Energy's Databricks costs escalated to its leadership

low

Azure deployments add Microsoft shared-responsibility configuration burden

Pros and cons

Pros

  • 4.6/5 across 13,000+ G2 reviews
  • Users praise ease of use and user experience
  • Unifies ETL, warehousing, governance, and AI
  • Public bug bounty program and trust center
  • Considered top-shelf alongside Snowflake by data engineers

Cons

  • Costs routinely overrun; pricing called 'a leadership problem'
  • G2 reviewer advises being 'extremely cautious' with spending
  • PeerSpot users say forecasting costs is 'really hard'
  • Critical SSRF vulnerability in Azure Databricks (2026)
  • Alleged supply-chain compromise under investigation

Sources & method

- 14 sources - Active security program (bug bounty, trust center) but several CVEs in 2024–2026, including a critical Azure SSRF flaw.

official x2review x4security x3news x5
  • CVE-2026-33107, Server-side request forgery (SSRF) in Azure Databricks, rated critical by researchers.
  • CVE-2025-53763, Improper access control in Azure Databricks, per NIST.
  • JDBC driver command injection, Databricks JDBC Driver 2.x (before patched release) vulnerable to command injection.
  • Alleged supply-chain compromise, Databricks investigating alleged TeamPCP-linked compromise, per March 2026 reports.

Key stats

  • Value for money: 2/5

    Rating

  • $0.07–$0.70 per DBU

    Starting price

  • 14

    Sources

  • Analyzed

  • Value for money: 2/5. Costs overrun and surprise buyers; dominant complaint
  • Ease of use: 4/5. Reviewers praise ease of use and UX
  • Feature depth: 5/5. ETL, warehousing, governance, AI in one platform
  • Support quality. No support-quality evidence found
  • Security posture: 3/5. Strong program, but repeated 2024–2026 CVEs
  • 4.6/5 G2 rating 13,000+ reviews
  • $0.07–$0.70 Compute pricing per DBU, pay-as-you-go
  • $190B Valuation $5B round closed Aug 2026
  • $25.2B Total funding raised to date

Pricing

Pay-as-you-go (DBUs)

$0.07–$0.70 per DBU

  • Rate varies by workload, cloud, and tier
  • Underlying cloud infrastructure billed separately

Security

Active security program (bug bounty, trust center) but several CVEs in 2024–2026, including a critical Azure SSRF flaw.

  • CVE-2026-33107Server-side request forgery (SSRF) in Azure Databricks, rated critical by researchers.10
  • CVE-2025-53763Improper access control in Azure Databricks, per NIST.11
  • JDBC driver command injectionDatabricks JDBC Driver 2.x (before patched release) vulnerable to command injection.
  • Alleged supply-chain compromiseDatabricks investigating alleged TeamPCP-linked compromise, per March 2026 reports.

What users say

Reviewers rate Databricks highly for capability and UX, but cost predictability is the loudest complaint.

“Databricks + Snowflake is the top shelf data platform”
Reddit, r/dataengineering
“My advice to others: be extremely cautious with Databricks”
G2 review
“Users consistently praise Databricks for its ease of use”
G2 review

Companies that use it

  • Mars Petcare
  • Elsevier
Full analysis

Based on 30+ public sources including G2, Reddit, Gartner, vendor pricing analyses, and CVE databases.

Praised enterprise lakehouse — strong UX, deep features — but DBU costs surprise buyers. Built for scale; overkill for small teams.

Methodology

Based on 30+ public sources including G2, Reddit, Gartner, vendor pricing analyses, and CVE databases.

Read how a report is made.

Sources

  1. review
  2. review
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  5. news
  6. news
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  8. news
  9. news
  10. security
  11. security
  12. security
  13. official
  14. official

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