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Gable

AI-powered platform for managing data contracts and ensuring data quality.

What is Gable?

Gable is an AI-powered platform that helps data teams establish and enforce data contracts, which are agreements defining the structure and quality expectations between data producers and consumers. The tool automates contract generation, monitors data changes in real time, and alerts teams when upstream data modifications might break downstream systems. This prevents data outages and reduces manual coordination between teams. Gable works with various data sources including PostgreSQL, MySQL, Oracle, Protobuf, Avro, and analytics platforms like Segment and Amplitude. It's designed for data engineers, data scientists, and software engineers who need to collaborate on data quality and governance without slowing down development.

Key features

Automated data contract generation

Creates contract templates automatically and manages versions with enforcement alerts

Real-time monitoring and alerting

Detects upstream data changes and alerts consumers before breaking changes occur

Integration testing for data

Prevents breaking changes by testing data contracts alongside code

Multi-source compatibility

Supports transactional databases, serialization frameworks, and analytics event platforms

Collaborative governance

Promotes data ownership and responsibility across engineering and analytics teams

Works within existing infrastructure

Operates inside your current data warehouse without creating data silos

Pros & cons

Advantages

  • Reduces manual coordination overhead between data producers and consumers
  • Catches data quality issues and breaking changes before they impact downstream teams
  • Works with your existing tools and data warehouse rather than requiring new infrastructure
  • Automates repetitive contract management tasks

Limitations

  • Requires buy-in from both data producers and consumers to be effective
  • Best suited for organisations with established data teams; smaller teams may find setup overhead unnecessary
  • Pricing details are not publicly specified, which may require contacting sales

Use cases

Data engineering teams ensuring data integrity across multiple downstream systems

Analytics teams preventing unexpected data changes that break dashboards and reports

Preventing unplanned data outages when upstream systems modify their data structure

Organisations scaling their data infrastructure and needing formal governance

Teams implementing CI/CD practices for data pipelines

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Pricing

Paid plans

Contact for pricing

Pricing structure not publicly listed; contact Gable directly for quotes based on your organisation's needs

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