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Peaka

Peaka is an AI-ready data platform that unifies enterprise data from databases, SaaS tools, NoSQL sources, and APIs, and provides a semantic layer and governance for querying and AI applications.

AI CodingData ManagementBusiness IntelligenceData IntegrationAnalyticsData Governance

About Peaka

Peaka

Peaka presents itself as a data foundation for enterprises that want to make their data AI-ready. It integrates data sources such as databases, SaaS tools, NoSQL databases, and APIs, presenting them as a single data source. It offers zero-copy data integration with 300+ pre-built connectors, federated querying, and materialization and caching on Iceberg. Its semantic layer provides reusable data products, a data dictionary, and end-to-end lineage. Governance features include granular access controls, permission-based discovery, and secure AI access at the data product level. The page also describes natural language querying, AI-assisted SQL generation, and SQL access across NoSQL and API sources. Peaka states it holds SOC 2 Type 1 and Type 2 reports. Product options listed are Peaka Enterprise, Peaka Cloud (for startups and SMBs), and Embedded Peaka (a data layer for embedding dashboards and reports in SaaS products).

Key features

  • Zero-copy data integration
  • 300+ pre-built connectors for SaaS tools, databases, and APIs
  • Federated query capability
  • Materialization and caching on Iceberg
  • Reusable data products for reporting, analytics, and AI projects
  • Data dictionary and shared terminology
  • End-to-end lineage
  • Granular access controls and permission-based discovery
  • Secure AI access at the data product level
  • API to SQL conversion
  • NoSQL to SQL querying
  • SQL to API exposure of consolidated data sets
  • Natural language querying
  • AI-assisted SQL generation
  • Self-service integration with one-click SaaS connectors
  • SOC 2 Type 1 and Type 2 reports

Best suited for

  • Enterprises unifying scattered data for AI initiatives
  • Startups and SMBs without a dedicated data team or data warehouse
  • SaaS companies embedding dashboards and reports
  • Business teams needing self-service access to data
  • Organizations seeking to reduce ETL pipeline maintenance

Pricing

Not stated on the website

SQLdata integrationNoSQLdata virtualizationAI-ready datafederated querydata governanceembedded analyticszero-ETLsemantic layer

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