Partner Integrations
Join leading modern AI & Data Stack platforms integrating with Fleak to supercharge data teams and engineers with simpler & faster AI workflows.
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Pinecone is a vector database that allows for efficient storage, searching, and retrieval of vector embeddings. By integrating Pinecone into Fleak’s platform, users can access and leverage their vector data to enrich their workflows without additional engineering overhead, enabling seamless data-driven decision-making, advanced analytics, and the integration of AI-driven insights.
Snowflake is a cloud-based data warehousing platform for large-scale data storage, processing, and analysis. Integrating Snowflake with Fleak allows users to securely store and manage data operations across databases and tables while leveraging its powerful analytics and real-time insights capabilities.
Amazon S3 is a highly scalable and secure object storage service offered by Amazon Web Services (AWS). It allows users to store, manage, analyze, and retrieve large amounts of data in the form of objects, which can be any type of file, including images, documents, videos, and more, for a wide range of use cases such as data lakes, cloud-native applications, and mobile apps. By integrating Amazon S3 with Fleak, users can securely store their workflow output data in AWS S3.
AWS Lambda is a serverless computing service that enables developers to run code without provisioning or managing servers. It automatically scales applications by running code in response to events, such as changes to data in an Amazon S3 bucket or updates to a DynamoDB table. By integrating Fleak with AWS Lambda, users can execute backend logic for applications, process real-time data streams, automate workflows, and integrate with other AWS services seamlessly.