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Head-to-head · Data Testing Tools

Soda vs Ataccama ONE

  • Updated Nov 2026
  • Both researched from official sources
  • 5 checks side by side
Higher score Soda #2 in Data Testing Tools 8.8/10 Free plan · paid from $750/mo Free plan✓ 2 of 4 features Visit Soda
Ataccama ONE #3 in Data Testing Tools 8.5/10 Pricing on request ✓ 4 of 4 features Visit Ataccama

Soda leads on 1 check, Ataccama ONE on 2, and 2 are even. Who comes out ahead on the 5 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.

Our verdict

  • Highest scoreSoda · 8.8/10
  • Free planonly Soda
  • Most featuresAtaccama ONE · 4 of 4

Soda scores higher on our rubric for data testing tools: 8.8 against 8.5 out of 10; our editors rank them #2 and #3.

Soda offers free plan; Ataccama ONE doesn't. Ataccama ONE offers automated anomaly detection; Soda doesn't. Ataccama ONE offers data lineage mapping; Soda doesn't.

Soda is the better fit for teams that want quality checks defined simply, starting free, with room to grow into a paid layer. Ataccama ONE is the better fit for enterprises that want quality checks tied directly into governance and MDM.

  • Soda fits best

    Teams that want quality checks defined simply, starting free, with room to grow into a paid layer

  • Ataccama ONE fits best

    Enterprises that want quality checks tied directly into governance and MDM

Advertiser disclosure: iTechGuides is reader-supported. Vendors can pay for top positions in our rankings and for a place on other products' pages, and we may earn a commission when you click some links. Bought places stand at the number bought; this page and our disclosure say so. Paying vendors may get a fuller, more detailed review from our editors, and that review can change their score. How we rank.

Side by side

Feature Soda 8.8/10 Visit ↗ Ataccama ONE 8.5/10 Visit ↗
At a glance
Editor score 8.8 8.5
Ranking #2 in Data Testing Tools #3 in Data Testing Tools
Best for Teams that want quality checks defined simply, starting free, with room to grow into a paid layer Enterprises that want quality checks tied directly into governance and MDM
Pricing model Free plan + paid Paid
Starting price Free plan · paid from $750/mo Pricing on request
Free plan ✓ (best) —
Free trial — —
Features Soda 2/4 · Ataccama ONE 4/4
Automated anomaly detection — ✓ (best)
Data lineage mapping — ✓ (best)
Alerting integrations ✓ ✓
API access ✓ ✓
Specs
Deployment model Hybrid Hybrid
Our review
Pros
  • Soda Core is genuinely free and open source, with checks written in a short, readable YAML-like syntax
  • Checks map closely to SQL concepts, so analytics engineers pick it up fast without a new query language
  • Soda Cloud adds collaboration, history, and alerting on top of the same checks without rewriting them
  • AI-assisted profiling suggests rules and data classifications rather than starting from a blank slate
  • Covers master data management alongside quality, which keeps "golden record" work and quality checks in sync
  • Suited to regulated industries where quality, lineage, and governance need to be provable together
Cons
  • Soda Core alone has no hosted dashboard or team collaboration layer — that's the paid upgrade
  • Less automatic anomaly detection out of the box than ML-first observability tools on this list
  • Checks still have to be written per table or dataset; it won't discover what to check on its own
  • No published pricing; evaluating cost means starting a sales conversation
  • Combining quality, MDM, and governance in one platform is more than a team that only wants checks may need
  • A broader platform generally means a longer implementation than a single-purpose checker
Our verdict

Soda's pitch is that quality checks shouldn't need a new mental model: its check syntax reads close enough to SQL that an analytics engineer can write "row count > 0" or "missing_count(column) = 0" and move on, instead of learning a…

Read the review →

Ataccama ONE's case is that data quality shouldn't live apart from governance and master data management, because a "bad record" problem and a "which record is the real one" problem are usually the same underlying issue. AI-assisted…

Read the review →
  1. SodaData Testing Tools 8.8Free plan · paid from $750/mo
  2. Ataccama ONEData Testing Tools 8.5Pricing on request

Strengths and trade-offs

  • Soda — where it wins

    • Soda Core is genuinely free and open source, with checks written in a short, readable YAML-like syntax
    • Checks map closely to SQL concepts, so analytics engineers pick it up fast without a new query language
    • Soda Cloud adds collaboration, history, and alerting on top of the same checks without rewriting them

    Where it doesn't

    • Soda Core alone has no hosted dashboard or team collaboration layer — that's the paid upgrade
    • Less automatic anomaly detection out of the box than ML-first observability tools on this list
    • Checks still have to be written per table or dataset; it won't discover what to check on its own
  • Ataccama ONE — where it wins

    • AI-assisted profiling suggests rules and data classifications rather than starting from a blank slate
    • Covers master data management alongside quality, which keeps "golden record" work and quality checks in sync
    • Suited to regulated industries where quality, lineage, and governance need to be provable together

    Where it doesn't

    • No published pricing; evaluating cost means starting a sales conversation
    • Combining quality, MDM, and governance in one platform is more than a team that only wants checks may need
    • A broader platform generally means a longer implementation than a single-purpose checker
  • Soda8.8/10 · Free plan · paid from $750/mo

    Checks are plain SQL-adjacent config, approachable for teams who aren't buying a platform yet.

    Visit SodaFull verdict →
  • Ataccama ONE8.5/10 · Pricing on request

    Puts data quality, governance, and master data management on one platform instead of three separate tools.

    Visit AtaccamaFull verdict →

More comparisons

Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026

Last updated · How we research and update