01
Connect your Clay account and choose the entities you want to replicate.
Integration overview
AI-native CRM for relationship data, enrichment, and workflow automation. Datrise captures Clay entities such as contacts, accounts, deals, activities, and lifecycle events, then lands normalized and typed models for warehouse reporting, attribution, and AI workflows.
01
Connect your Clay account and choose the entities you want to replicate.
02
Datrise maps and normalizes records into typed models with governed schema.
03
Send modeled data to your destination for analytics, reporting, and AI use cases.
Choose a destination below to open the ready pipeline page.
Move Clay data into Airtable with incremental sync and governed modeling. Relational spreadsheet destination for ops and go-to-market teams.
View pipelineMove Clay data into Amazon Athena with incremental sync and governed modeling. Serverless SQL over S3 data lake tables.
View pipelineMove Clay data into Amazon DynamoDB with incremental sync and governed modeling. Serverless key-value and document store on AWS.
View pipelineMove Clay data into Amazon QuickSight with incremental sync and governed modeling. AWS serverless BI with SPICE and embedded analytics.
View pipelineMove Clay data into Amazon Redshift with incremental sync and governed modeling. AWS petabyte-scale warehouse with Spectrum.
View pipelineMove Clay data into Amazon S3 Data Lake with incremental sync and governed modeling. Object storage landing zone for parquet and snapshots.
View pipelineMove Clay data into Apache Superset with incremental sync and governed modeling. Open-source BI for SQL exploration, charts, and dashboard publishing.
View pipelineMove Clay data into Azure Data Lake Storage with incremental sync and governed modeling. ADLS Gen2 object storage for analytics workloads.
View pipelineMove Clay data into Azure Synapse with incremental sync and governed modeling. Microsoft analytics workspace with SQL pools.
View pipelineEarly access
Join the waitlist to get priority access for Clay integrations with guided setup, schema-aware mapping, and production-grade incremental sync.