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Great Expectations

Great Expectations

+ Track Company

Open-source data quality testing

Analytics & DataData Management SoftwareData Analysts and BI TeamsData Engineers and Platform TeamsBusiness Leaders and Operators#7 of 20 in Data Management Software

Great Expectations’s Visibility

Last 7 days

How AI models rank and recommend Great Expectations

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Category Rank

#7

of 20 in Data Management Software

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Great Expectations

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About Great Expectations

Open-source data quality testing

Key features

1

Data Connection and Ingestion

Analytics platforms are only as valuable as the data they can access.

2

Data Transformation and Modelling

Raw data from source systems rarely arrives in the shape needed for analysis.

3

Dashboards and Visualisation

Dashboards are the primary interface between data teams and business stakeholders.

4

Embedded Analytics and White-Labelling

Embedded analytics — surfacing data insights within the workflow of another application rather than as a standalone report — is a growing use case as product teams instrument data as a feature rather than a side project.

Pricing

Analytics platform pricing varies dramatically by deployment model.

Starter and Individual Plans ($0–$40/month)

Entry-level analytics plans are appropriate for individual analysts or very small teams working with modest data volumes.

Team and Professional Plans ($40–$200/seat/month)

Professional-tier analytics plans unlock collaboration, data model sharing, scheduling, alerting, and integration with the broader data stack.

Enterprise Plans (Custom)

Enterprise analytics pricing covers unlimited users, private deployment options, advanced security controls, dedicated support, and custom SLAs.

Best for

Data Analysts and BI TeamsData Engineers and Platform TeamsBusiness Leaders and OperatorsProduct Teams Building Analytics Features

Integrations

Cloud Data WarehousesData Ingestion and ETLReverse ETL and Activation

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