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Best Great Expectations (GX Core) Alternatives in 2026

Checked Nov 15, 2026How we rank

The best Great Expectations (GX Core) alternative is iceDQ (7.8/10), best for enterprise QA and data teams testing ETL pipelines, migrations and BI reports. With a free plan: Soda, Deequ, Elementary.

Great Expectations (GX Core) vs the alternatives

ToolScoreFree planPaid from (annual)Data profilingCustom rule checksML anomaly detectionData cleansing / correctionOpen source
Great Expectations (GX Core)7.9/10YesSee vendorNot confirmedYesNot confirmedNot confirmedYes
iceDQ
Featured partner
7.8/10NoSee vendorYesYesYesNoNo
Soda8.7/10YesSee vendorYesYesYesNot confirmedNo
Deequ8.4/10YesSee vendorYesYesNot confirmedNot confirmedYes
Elementary8.4/10YesSee vendorNot confirmedYesYesNot confirmedYes
Informatica Data Quality & Observability8.2/10NoSee vendorYesYesYesYesNo
Acceldata Data Observability Cloud (ADOC)7.8/10NoSee vendorYesYesYesNot confirmedNo
Ataccama ONE7.8/10NoSee vendorYesYesYesYesNo
BiG EVAL NX³7.8/10NoSee vendorYesYesYesNot confirmedNo
Qlik Talend Data Quality7.8/10NoSee vendorYesYesNot confirmedYesNo
Anomalo7.4/10NoSee vendorYesYesYesNot confirmedNo
Bigeye7.4/10NoSee vendorYesYesYesNot confirmedNo
Collibra Data Quality & Observability7.4/10NoSee vendorYesYesYesNot confirmedNo
Experian Aperture Data Studio7.4/10NoSee vendorYesYesNot confirmedYesNo
RightData DataTrust7.4/10NoSee vendorYesYesYesNot confirmedNo
Monte Carlo7/10NoSee vendorNot confirmedYesYesNot confirmedNo
Sifflet7/10NoSee vendorNot confirmedYesYesNot confirmedNo

The alternatives, ranked

#2

Soda

Best forData engineering teams that want data contracts and pipeline tests with a free tier and published team price

Data quality platform built around data contracts, with metric monitoring and a Python engine (Soda Core).

Free plan · paid from $750/mo
8.7/10
#3

Deequ

Best forSpark and Scala/Python engineers validating large datasets in batch pipelines

Open-source library from AWS Labs for defining unit tests for data on Apache Spark.

Free plan
8.4/10
#4

Elementary

Best forAnalytics engineering teams that build with dbt

dbt-native data observability with an open-source package and CLI plus a paid cloud platform.

Free plan · paid plans quote-only · 30-day free trial of Elementary Cloud
8.4/10
#5

Informatica Data Quality & Observability

Best forLarge enterprises already using Informatica IDMC or PowerCenter

Data quality and observability services in Informatica's Intelligent Data Management Cloud (IDMC), now part of Salesforce.

Quote-only pricing · Free 30-day trial (Cloud Data Quality)
8.2/10
#7

Acceldata Data Observability Cloud (ADOC)

Best forEnterprises that want data quality monitoring and warehouse/lakehouse cost monitoring in one product

Data observability platform covering data reliability (quality, freshness, anomalies) and data platform cost optimization.

Quote-only pricing · 30-day free trial
7.8/10
#8

Ataccama ONE

Best forLarge and regulated organizations that want data quality, MDM and governance in one platform

Unified data quality, observability, lineage, catalog and master data management platform.

Quote-only pricing
7.8/10
#9

BiG EVAL NX³

Best forRegulated enterprises (banking, insurance, retail) automating data tests at scale

Swiss data quality and data testing platform that runs metadata-driven, rule-based and AI-assisted checks across data sources.

Quote-only pricing · Proof-of-concept period (no self-serve free trial)
7.8/10
#10

Qlik Talend Data Quality

Best forOrganizations using Qlik or Talend for data integration that want quality built into pipelines

Data profiling, rules, cleansing and trust scoring within Qlik Talend Cloud and Talend Studio.

Quote-only pricing · Qlik Talend Cloud free trial (length not stated)
7.8/10
#11

Anomalo

Best forEnterprises that want unsupervised anomaly detection without writing many rules, including in their own VPC

AI-based data quality monitoring for structured tables and unstructured documents.

Quote-only pricing
7.4/10
#12

Bigeye

Best forEnterprises with a mix of cloud warehouses and legacy systems (Oracle, DB2, Netezza, SSIS, DataStage)

Data observability platform with anomaly-detection metrics, custom rules and column-level lineage across modern and legacy sources.

Quote-only pricing
7.4/10
#13

Collibra Data Quality & Observability

Best forEnterprises already using Collibra for data governance and cataloging

Data quality monitoring with ML-generated adaptive rules, tied into the Collibra governance and catalog platform.

Quote-only pricing
7.4/10
#14

Experian Aperture Data Studio

Best forOrganizations cleaning customer and contact data (addresses, emails, phone numbers) at scale

Data quality and enrichment platform from Experian, with contact data validation and identity resolution.

Quote-only pricing
7.4/10
#15

RightData DataTrust

Best forEnterprises reconciling data across migrations, ETL pipelines and financial controls

Data quality, ETL testing and source-to-target reconciliation product in the RightData platform.

Quote-only pricing
7.4/10
#16

Monte Carlo

Best forMid-size and large data teams that want automated monitoring across a warehouse, ETL and BI stack

Data and AI observability platform that monitors warehouse tables, pipelines and AI agents for anomalies.

Quote-only pricing
7/10
#17

Sifflet

Best forData teams that want observability and a data catalog in one tool, including regulated firms needing self-hosting

Data observability platform with a built-in data catalog, field-level lineage and AI monitoring agents.

Quote-only pricing
7/10

Frequently asked questions

What is the best alternative to Great Expectations (GX Core)?

iceDQ is the highest-scoring alternative (7.8/10), best for enterprise QA and data teams testing ETL pipelines, migrations and BI reports.

Is there a free alternative to Great Expectations (GX Core)?

Yes: Soda, Deequ, Elementary have free plans.