The future of effortless and secure data integration
Say goodbye to tedious spreadsheets and unmanageable legacy ETL tools. With Tray Build's low-code interface, create data pipelines 10x faster. Benefit from native support for cloud data warehouses and hundreds of connectors. Easily extract, combine, transform, aggregate, and load data on our scalable enterprise core.
Power meets simplicity in data integration and transformation
With low-code visual helpers, integrators can transform and enrich any data type effortlessly. They can perform lookups, denormalize and aggregate data, create lists, and update tables using built-in data storage and tables. With vector tables, you can store, manage, and utilize vector embeddings directly within the platform, enhancing AI-driven workflows and enabling more sophisticated data processing and retrieval operations. Use a data mapper to map fields. Dedupe, concatenate, and cleanse data using low-code logic, list helpers, and optional scripting.
Seamlessly sync data across apps, databases, and services
Tray provides built-in standard connectivity to Amazon Redshift, Snowflake, Google BigQuery, Databricks, and other databases, including JDBC. Connect data to analytics tools like Power BI or Tableau. Schedule or trigger extraction to and from any app, whether eCommerce, CRM, ERP, Service, Project Management apps, social apps, collaboration tools, and more.
Securely automate your FTP and CSV integrations
Easily facilitate secure bi-directional integration with FTP/SFTP sites on a scheduled or triggered basis. Use Tray’s powerful CSV processor to import or export CSVs, and join, sort, and update them on the fly. Managed file transfers include robust error handling, logs, and observability in Insights Hub, ensuring users can monitor the entire data integration process and troubleshoot issues.
Customer IntegrationsMartijn Russchen, Product Lead“We’ve quadrupled our integration delivery speed. More integrations mean happier customers that can respond to cybersecurity vulnerabilities even faster”
Hassle-free scaling for your data volumes and workloads
Process large data volumes in parallel and execute full or incremental data loads manually, on a schedule, or using any app or database trigger. Ensure the utmost data integrity with robust build-in error handling, alerting, and log streaming to pinpoint operational challenges. Build real-time data pipelines with Pub/Sub and support for popular streaming platforms.
