A data quality platform built around 'data contracts' — explicit, collaborative agreements about what a dataset should look like — with AI that detects, explains, and can automatically fix anomalies when they break.
soda.io
Alternatives to
Great Expectations
Best alternatives to Great Expectations in 2026
Before most commercial data quality platforms existed, data engineers were already writing custom Python scripts to check that a column wasn't null or that a number fell in an expected range. Great Expectations grew out of exactly that instinct and turned it into a proper open-source framework: you write 'expectations' — data checks, essentially — as code, and the tool validates every pipeline run against them, generating human-readable reports when something fails. It integrates directly with the tools data engineers already use — Airflow for orchestration, and warehouses like Databricks, BigQuery, and Snowflake — rather than asking you to route data through a separate platform. With a community of 11,000+ practitioners, it's become something of a default answer for teams that want data validation without buying a commercial platform. GX Core (the open-source library) is free under Apache 2.0; GX Cloud adds a hosted layer with a free Developer tier and paid Team/Enterprise tiers for collaboration features, though exact pricing on those isn't publicly listed.
Quick comparison of Great Expectations alternatives
| # | Tool | Best for | Price |
|---|---|---|---|
| 1 | Équipes data engineering et governance, entreprises moyennes à grandes | — | |
| 2 | Équipes data enterprise (finance, telecom, retail, healthcare, media, énergie) | — | |
| 3 | Équipes FinOps, DevOps, Finance IT et direction d'entreprise | — | |
| 4 | Développeurs et éditeurs SaaS embarquant de l'analytique dans leurs produits, y compris secteurs régulés | — | |
| 5 | Ingénieurs données, responsables FinOps/observabilité cloud, directeurs data en entreprise | — | |
| 6 | Équipes produit SaaS voulant réduire les coûts d'infrastructure analytics | — | |
| 7 | Équipes data et business utilisant des data warehouses cloud, cherchant du self-service analytics gouverné | — | |
| 8 | Entreprises moyennes à grandes (software, finance, santé, e-commerce) | — | |
| 9 | Équipes développement, product et data cherchant à embarquer des analytics dans leur produit | — | |
| 10 | Organisations financières, santé, télécom et secteur public avec exigences de résidence des données | — | |
| 11 | Startups, PME et équipes financières/RevOps sans data engineer dédié | — | |
| 12 | Dirigeants, analystes métier, agences et équipes SaaS/marketing cherchant à centraliser leurs KPIs | — |
#1
- ✓ Real free tier with usage-based limits (SPUs), no sales call required
- ✓ Published Team pricing ($750/month) — rare transparency in this category
#2
A data quality platform that uses AI to automatically learn what 'normal' looks like in your tables and flags anomalies — without anyone having to write manual validation rules for every column.
anomalo.com
- ✓ AI learns normal data patterns without manual rule-writing
- ✓ Scales to thousands of tables where manual rules can't keep up
#3
A cloud cost management platform that gives finance, DevOps, and leadership a shared, accurate picture of where cloud money is actually going — down to 100% of costs allocated to teams or features — instead of finance and engineering arguing over spreadsh
apptio.com
- ✓ 100% cost allocation gives finance, DevOps, and leadership shared numbers
- ✓ Track record of ~30%+ average cloud cost reduction
#4
An established embedded analytics platform that lets software companies build dashboards and AI-generated insights directly into their own applications, with a 7-day free trial and full enterprise support for regulated industries.
sisense.com
- ✓ Established, mature platform with a long track record
- ✓ Strong compliance credentials for regulated industries (healthcare, fintech)
#5
An AI agent that watches your Snowflake, BigQuery, or Databricks bill and your data quality at the same time, flagging wasted spend and broken pipelines before they become a surprise invoice or a bad dashboard.
revefi.com
- ✓ Combines cost/FinOps monitoring and data quality in one agent
- ✓ Free Starter tier for orgs under $50K/year in data spend
#6
An embedded analytics platform built for SaaS companies that want to give their customers dashboards and self-service reporting inside the product, priced as a flat annual fee instead of per-seat or per-query.
qrvey.com
- ✓ Flat annual fee — no per-seat, per-query, or per-tenant charges
- ✓ Ultra tier includes a built-in data engine, no separate warehouse needed
#7
A business intelligence platform that lets you explore data through chat, dashboards, raw SQL, or a spreadsheet-like interface — all pointed at the same governed set of metrics — and can be embedded directly into your own product.
omni.co
- ✓ Multiple ways to explore the same governed data (chat, SQL, dashboard, spreadsheet)
- ✓ Built for embedding analytics into your own product from day one
#8
An AI-enabled analytics platform for embedding dashboards and AI-assisted insights into other software products, priced per workspace rather than per user, with a free-to-start Professional tier.
gooddata.ai
- ✓ Priced per workspace, not per user — favorable for high-user-count deployments
- ✓ Unlimited users and data on the Professional tier
#9
A toolkit for adding real analytics dashboards inside your own product — as a native web component, not a clunky iframe — so your customers get charts and self-service reports without you building a BI engine from scratch.
embeddable.com
- ✓ Native web component embedding, not a clunky iframe
- ✓ Handles multi-tenant security and permissions out of the box
#10
A data quality and observability tool that runs its checks directly inside your database instead of copying data out to a separate system, with pricing based on the number of tables you actually monitor rather than a flat platform fee.
digna.ai
- ✓ In-database processing — data never leaves your environment
- ✓ On-premise and private cloud deployment options
#11
An all-in-one data platform that replaces a Fivetran + Snowflake + dbt + Looker stack with a single tool for ingesting, storing, and querying business data, plus an AI analyst that answers questions in plain English.
definite.app
- ✓ Replaces 4+ separate tools (warehouse, ETL, transforms, BI) with one
- ✓ 500+ native connectors (Stripe, HubSpot, Postgres, Salesforce...)
#12
A business dashboard tool that pulls numbers from 130+ apps (Google Analytics, Stripe, HubSpot, Facebook Ads...) into one screen, with an AI assistant that answers questions about your metrics in plain English.
databox.com
- ✓ 130+ pre-built data source connectors
- ✓ AI assistant (Genie Analyst) answers questions in plain English
FAQ about Great Expectations alternatives
- What is the best alternative to Great Expectations in 2026?
- Based on our selection, Soda is the best alternative to Great Expectations in 2026. A data quality platform built around 'data contracts' — explicit, collaborative agreements about what a dataset should look like — with AI that detects, explains, and can automatically fix anomalies when they break.. See our full ranking above to compare all options.
- Is Great Expectations free?
- Great Expectations is a paid tool. Several alternatives in our selection offer free or freemium versions.
- How many alternatives to Great Expectations are there?
- mySelectas has listed 12 alternatives to Great Expectations in the Data & Analytics category. Our selection is updated regularly to include the best options available.