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Data Warehouse · Rank #8 of 10

MotherDuck

DuckDB-native serverless DW for analyst tier and modern small data.

By MotherDuck, Inc. · Founded 2022 · Seattle, WA · private

MotherDuck is the DuckDB-native serverless DW, the team behind it includes core DuckDB committers and the product extends DuckDB execution into a hybrid local + cloud architecture. The fit: analyst teams who already use DuckDB locally and want the same dialect and execution model in production, without learning a new SQL flavor or operating clusters. Series B $52M raised April 2024. Trade-offs: best-fit clearly narrowed to small/medium data (single-node DuckDB execution caps useful scale), ecosystem still maturing, and not yet a substitute for Snowflake/Databricks at petabyte scale.

Visit MotherDuck Vendor pricing Compare to Firebolt
Best for

Analyst teams and SaaS data orgs (5-500 employees) working with sub-terabyte datasets who want DuckDB execution at production scale without operating infrastructure.

Worst for

Petabyte-scale enterprises (Snowflake or Databricks fit better), AI/ML training shops (Databricks), or organizations standardized on a different SQL dialect.

Vendor Trust Score

Is MotherDuck a trustworthy vendor?

8.8/10
High trust
Pricing transparency
Published rates; no hidden fees
8.5
Contract fairness
Reasonable terms; no auto-renew traps
9.0
Incident response
How they handle outages and breaches
8.0
Post-acquisition behavior
Customer treatment after M&A or PE
9.0
Executive stability
Leadership churn over 24 months
9.0
Roadmap honesty
Public commitments held
9.0
Trust signal log
  • 2023-06-13
    MotherDuck GA launch
  • 2024-04-23
    Series B $52M raised; financial stability for 2026 product roadmap
  • 2025-09-17
    Iceberg read/write GA in MotherDuck managed catalog
Vendor Trust is scored independently of product quality. A great product from an unfair vendor still earns a low trust score.
Review Intelligence

What 87 reviews actually say

Synthesized from G2, Capterra, Reddit, Trustpilot. Patterns >15% prevalence shown.

Last synthesized
2026-04-29

Praise patterns

  • DuckDB execution at production scale without cluster ops
    87% ↑
  • Hybrid local + cloud execution genuinely useful
    71% ↑
  • Modern UX with web SQL editor
    64% →
  • Pricing predictable versus credit-based DWs
    51% ↑

Complaint patterns

  • Best-fit narrowed to small/medium data
    47% →
  • Ecosystem still maturing
    41% ↓
  • Newer brand, fewer enterprise references
    31% ↓
Sentiment trend (6 months)
90/100 +2 pts
12
01
02
03
04
05
Patterns are extracted from review corpus and human-verified. We surface trends, not anecdotes.
Verified Pricing

What buyers actually pay

47 anonymized deal disclosures · last updated 2026-05-01

Contribute your deal price
Company size Median annual
5-50 employees $3,600
50-500 employees $18,000
Verified pricing is crowdsourced from buyers under anonymity guarantees. Vendor-listed prices are validated against actual deals quarterly.
Compliance & Security

Auto-verified certifications

Verified 2026-05-01
SOC 2 Type II
ISO 27001
HIPAA
GDPR
CCPA
PCI DSS
FedRAMP

Editorial: Strengths

  • Hybrid local + cloud DuckDB execution
  • Best fit for analyst teams already using DuckDB
  • Serverless economics, no clusters to manage
  • Modern UX with web SQL editor and API
  • DuckDB extension ecosystem (Iceberg, Parquet, S3, JSON)
  • Founder team includes core DuckDB committers

Editorial: Weaknesses

  • Best-fit narrowed to small/medium data (single-node execution caps scale)
  • Ecosystem still maturing versus Snowflake or BigQuery
  • Not a substitute at petabyte scale
  • Newer brand, fewer enterprise reference customers
  • Pricing tier structure still iterating

Key features & integrations

  • +Hybrid local + cloud DuckDB execution
  • +DuckDB SQL dialect
  • +Iceberg and Parquet support
  • +Web SQL editor (notebook UI)
  • +Bring-your-own-bucket (S3) support
  • +API and CLI for data engineering
  • +AI assist for SQL generation
50+ integrations
dbtHexModeTableauAWS S3GCS
Geography supported
Global
Best fit
5–500 employees · Analyst teams and SaaS data orgs
Editorial deep-dive

Read our full ranking of Data Warehouse

MotherDuck ranks #8 in our editorial review of 10 data warehouse platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.

Read the full ranking

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