shouldiuse.io

VERDICT

Should I use DuckLake?

DuckLake delivers advanced data lake features without traditional lakehouse complexity by using Parquet files and your SQL database. It's an open, standalone format from the DuckDB team. - ducklake.select

Depends. A strong pick for DuckDB-comfortable data teams who want lakehouse features without Iceberg's operational maze, with self-hosted bills around $10/month. Skip it if you need vendor support, built-in access control, or proven multi-cloud maturity.

Confidence

Medium. Based on 30+ public sources — mostly community reviews, official docs, and cost write-ups. No formal G2/Gartner-style ratings exist for an open format.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualityNo evidence of support quality for an open format
  • Security posture

Pricing

$0

Open source format

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes
AWS Marketplace container$0.05/hour
Self-hosted serverless (blog estimate)~$9.35/month

Best for

  • DuckDB-first data teams
  • Cost-sensitive analytics stacks
  • Startups replacing warehouse bills
  • Teams burned by Iceberg complexity

Not for

  • Teams wanting vendor SLAs and managed support
  • Non-AWS or multi-cloud shops (early days)
  • Anyone needing built-in access control or governance
  • Non-technical teams wanting plug-and-play

Gotchas - check before you buy

high

Early cloud support: one user reports AWS-only, limited catalog coverage

medium

Postgres catalog can hit connection pool timeouts under load

medium

Encryption is opt-in; access control must be bolted on separately

medium

Open source: no SLA unless you pay MotherDuck to host it

Pros and cons

Pros

  • Simpler than Iceberg — the catalog is just a SQL database
  • Reported 41x faster than Iceberg in one community benchmark
  • Runs self-hosted for roughly $10/month total
  • v1.0 reached production-ready status
  • Open format backed by DuckDB team, governed by a non-profit

Cons

  • 'Promising but far from prod ready,' per one Reddit user
  • Access control is not built into the format
  • No dedicated security page on the official site
  • Postgres catalog connection pool timeouts reported
  • Requires DuckDB and cloud infra skills — no turnkey product

Sources & method

Analyzed 9/21/2026 - 12 sources - No known vulnerabilities found in the sources reviewed.

official x4review x6news x2

Key stats

  • Value for money: 5/5

    Rating

  • $0

    Starting price

  • 12

    Sources

  • Analyzed

  • Value for money: 5/5. Free format; full stack under $10/month self-hosted
  • Ease of use: 4/5. Simpler than Iceberg; still needs DuckDB and infra skills
  • Feature depth: 3/5. v1.0; access control external, branching still an RFC
  • Support quality. No evidence of support quality for an open format
  • Security posture: 3/5. Encryption supported; access control external; no security page
  • 41x Community benchmark faster than Iceberg, one Reddit benchmark
  • ~$9.35/mo Self-hosted cost minimal serverless setup, blog estimate
  • $0.05/hr AWS Marketplace container lakehouse on S3, billed hourly
  • v1.0 Maturity reached production-ready status, Apr 2026

Pricing

Open source format

$0

  • Free format and DuckDB extension
  • Bring your own SQL catalog + object storage
  • Community support via GitHub

AWS Marketplace container

$0.05/hour

  • Functional lakehouse on S3
  • Billed hourly, ~$36/month running full-time

Self-hosted serverless (blog estimate)

~$9.35/month

  • Minimal cloud setup, documented end-to-end
  • Excludes data egress at scale

Security

No known vulnerabilities found in the sources reviewed.

What users say

Early adopters call it refreshingly simple and fast versus Iceberg while warning it is young and AWS-centric.

“Ducklake is 41 times faster than Iceberg in my benchmark.”
Reddit, r/DuckDB
“Ducklake is promising but far from prod ready. Just supports aws”
Reddit, r/DuckDB
“Ducklake's architecture makes so much sense”
Reddit, r/dataengineering

Companies that use it

  • Tailpipe
  • Inyo
  • Ilum
  • Windmill
  • MotherDuck
Full analysis

Based on 30+ public sources — mostly community reviews, official docs, and cost write-ups. No formal G2/Gartner-style ratings exist for an open format.

Open-source lakehouse format from the DuckDB team: cheap, fast, far simpler than Iceberg — but young. You run the ops.

Methodology

Based on 30+ public sources — mostly community reviews, official docs, and cost write-ups. No formal G2/Gartner-style ratings exist for an open format.

Sources

  1. Tech Review: DuckLake - From Parquet to Powerhousethefulldatastack.substack.com
    review
  2. Should you be using DuckLake?reddit.com
    review
  3. DuckLake v1.0reddit.com
    review
  4. Anyone ditching Snowflake or BigQuery for DuckDB + DuckLakereddit.com
    review
  5. Welcome to the age of $10/month Lakehousestobilg.com
    news
  6. DuckLake 1.0 lands on MotherDuckdaily.dev
    news
  7. AWS Marketplace: DuckLake Container - Data Lakehouse on S3aws.amazon.com
    official
  8. Access Control - DuckLake docsducklake.select
    official
  9. Encryption - DuckLake docsducklake.select
    official
  10. DuckLake Development Roadmapducklake.select
    official
  11. Connection pool timeout with postgres cataloggithub.com
    review
  12. Iceberg Built a Maze. DuckLake Just Handed You a Map.medium.com
    review

Rate this review

Anonymous. You can change your vote.

Loading votes…

Comments

One queue. No nested comments. Give a display name first. Limit: 200 words per comment and 7 comments per day. You can edit or delete yours.

Save a name to write a comment.

0 / 200 words

No comments yet.