Peaka

What is Peaka?

Peaka is an enterprise-grade data integration platform that unifies scattered data sources—including databases, SaaS tools, NoSQL systems, and APIs—into a single, queryable data layer. It provides AI-ready data with built-in semantic and governance layers, enabling organizations to securely power AI applications and analytics. With Peaka, teams can treat every data source like a relational database, converting APIs to tables and blending data from diverse origins using familiar SQL. This eliminates the need for complex ETL pipelines and allows users to query both SQL and NoSQL databases with the same skill set. The platform offers a wide range of ready-made connectors for popular SaaS tools, enabling one-click data ingestion. Peaka also leverages AI to accelerate SQL-related tasks, reducing query writing time by up to 50% and minimizing errors. Users can create governed, reusable data products from a single prompt, fostering collaboration and consistency across the organization. The platform supports two deployment options: a cloud-based solution for startups and SMBs, and an on-premises or private cloud option for enterprises requiring enhanced security. Peaka is ideal for use cases such as unifying ServiceTitan and accounting data for BI tools, embedding dashboards and reports in SaaS products, and providing a data foundation for AI initiatives. Technical highlights include real-time data consolidation, API exposure for serving other apps, and integration with visualization tools like Looker Studio. Peaka also provides comprehensive documentation, how-to guides, API references, and a community forum for developers. By unifying data and adding semantic and governance layers, Peaka ensures that data is trustworthy, accessible, and ready for AI, helping organizations maximize the value of their existing tech stack while building new integrations effortlessly.

Use Cases

Key Features

unified data layer AI ready data semantic governance API to table conversion SQL and NoSQL querying ready made connectors AI accelerated SQL reusable data products cloud and on premises deployment

Who is it for?

data engineers, data analysts, AI/ML teams, enterprise architects, IT managers, SaaS companies, startups and SMBs

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