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Data Observability Software · Rank #6 of 10

Soda review and pricing

Open-source-friendly observability with SodaCL contract-driven testing.

By Soda · Founded 2019 · Brussels, Belgium · private

Soda is the open-source-friendly observability option in the category, anchored on Soda Core (open-source CLI) and SodaCL (a contract-driven check language). The product positions itself between pure observability platforms (Monte Carlo, Bigeye) and pure data-quality rule engines (Great Expectations), with a hybrid OSS-plus-Cloud go-to-market. Raised $25M Series B in 2022. Strengths: legitimate open-source heritage, SodaCL contract-testing differentiates against ML-driven peers, and the OSS option provides a real free path. Trade-offs: ML-driven anomaly detection trails Bigeye and Anomalo, the OSS-to-Cloud upgrade motion creates pricing complexity, and the European HQ (Brussels) sometimes complicates US enterprise procurement.

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Best for

Engineering-led data teams (50-2,000 employees) who want declarative contract testing in Git; teams that prefer a hybrid OSS-plus-Cloud path; European buyers with GDPR-driven residency preferences.

Worst for

Teams wanting maximum ML-driven anomaly detection (Bigeye, Anomalo stronger), large regulated US enterprises with strict US-vendor preferences, or buyers wanting an end-to-end UI-driven platform.

Vendor Trust Score

Is Soda a trustworthy vendor?

7.3/10
Mixed
Pricing transparency
Published rates; no hidden fees
7.0
Contract fairness
Reasonable terms; no auto-renew traps
7.5
Incident response
How they handle outages and breaches
7.0
Post-acquisition behavior
Customer treatment after M&A or PE
7.5
Executive stability
Leadership churn over 24 months
7.5
Roadmap honesty
Public commitments held
7.5
Trust signal log
  • 2021-05-12
    $11.5M Series A led by Singular
  • 2022-04-13
    $25M Series B led by Three Arches Capital
    Round positioned Soda for the 2024-2026 cycle; has not been refreshed since.
  • 2023-06-21
    SodaCL contract-driven check language launched
    Differentiated positioning against ML-driven peers; Git-friendly declarative checks.
  • 2025-02-25
    Soda AI assistants (beta)
    AI-driven check authoring; production value uneven on complex schemas.
Vendor Trust is scored independently of product quality. A great product from an unfair vendor still earns a low trust score.
Review Intelligence

What 64 reviews actually say

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

Last synthesized
2026-04-29

Praise patterns

  • Soda Core OSS is a real free option (Apache 2.0)
    87% →
  • SodaCL declarative checks fit Git-driven engineering teams
    71% ↑
  • Hybrid OSS-plus-Cloud path reduces vendor-lock anxiety
    51% →
  • European HQ aligns with GDPR residency requirements
    38% →

Complaint patterns

  • ML-driven anomaly detection trails Bigeye and Anomalo
    64% →
  • OSS-to-Cloud upgrade motion creates pricing complexity
    51% →
  • BI lineage and incident workflow trail Monte Carlo
    47% ↓
  • 2022 Series B funding runway requires monitoring
    31% ↑
Sentiment trend (6 months)
77/100 +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

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

Contribute your deal price
Company size Median annual
50-200 employees $18,000
200-1,000 employees $54,000
1,000+ employees $144,000
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

  • Legitimate open-source heritage (Soda Core is widely used)
  • SodaCL contract-driven check language differentiates against ML-driven peers
  • Declarative checks fit Git-driven engineering teams
  • Hybrid OSS-plus-Cloud go-to-market provides a real free path
  • Strong dbt integration
  • European HQ (Brussels) aligns with EU residency requirements
  • Active OSS community and developer mindshare

Editorial: Weaknesses

  • ML-driven anomaly detection trails Bigeye and Anomalo
  • OSS-to-Cloud upgrade motion creates pricing complexity
  • European HQ sometimes complicates US enterprise procurement
  • BI lineage and incident workflow trail Monte Carlo
  • Series B (2022) has not been refreshed; funding runway requires monitoring

Key features & integrations

  • +Soda Core OSS (Apache 2.0)
  • +SodaCL declarative check language
  • +Freshness, volume, schema, distribution checks
  • +dbt integration with declarative checks
  • +Slack and PagerDuty incident routing
  • +Issue annotations and stewardship
  • +API and webhook integrations
  • +Hybrid OSS-plus-Cloud deployment
50+ integrations
SnowflakeBigQueryRedshiftDatabricksdbtAirflowSlackPagerDuty
Geography supported
Global; strongest in EU, US
Best fit
50-2,000 employees · Engineering-led modern data teams; European GDPR-driven buyers
Editorial deep-dive

Read our full ranking of Data Observability Software

Soda ranks #6 in our editorial review of 10 data observability software platforms. The deep-dive covers methodology, comparison tables, decision matrix, migration scoring, and FAQs.

Read the full ranking

Closest alternatives in Data Observability Software

#5
Acceldata
Enterprise data-pipeline observability across compute, data, and spend.
★ 4.3 opaque
#7
Validio
European-headquartered autonomous data quality with EU data residency.
★ 4.4 opaque
#4
Anomalo
Unsupervised ML anomaly detection that scales without rule-writing.
★ 4.5 opaque
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