Peaka Data Integration Platform

Peaka Data Integration Platform is a zero-ETL, embedded data integration platform designed to connect relational and NoSQL databases, SaaS tools, and APIs, enabling you to query and blend data as a single source in real-time. It emphasizes ease of setup, rapid data stack construction, and a broad ecosystem of pre-built connectors, AI-assisted SQL, and flexible deployment options (Peaka Cloud and Peaka Enterprise) with strong security posture.

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How it works

1. Connect to diverse data sources (SQL, NoSQL, SaaS, APIs) with ready-made connectors.
2. Treat every data source as a relational table via the API-to-SQL and SQL-to-API capabilities.
3. Federate, stream, and replicate data with real-time access using streaming ingestion (webhooks, Kafka, Segment) and Change Data Capture (CDC).
4. Build and run queries across sources, blend datasets, and expose results via APIs for other apps and systems.
5. Leverage AI to generate SQL, speeding up query creation and reducing errors.

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Core Capabilities

• Zero-ETL: Build your data stack in minutes with no heavy ETL pipelines.
• Real-time connectivity: Federated queries and real-time data access across sources.
• Streaming ingestion: Ingest streaming data from sources like Kafka and Segment.
• CDC and instant replication: Move away from nightly batch ingestion to real-time data availability.
• API to SQL and SQL to API: Normalize every data source to a tabular interface and expose as APIs.
• NoSQL to SQL: Query both SQL and NoSQL sources using familiar SQL.
• Data democratization: Make insights accessible to business users without complex systems.
• Ready-made connectors: Wide range of popular SaaS tools (Stripe, MySQL, Google Sheets, Slack, Zendesk, HubSpot, PostgreSQL, etc.).
• AI-assisted SQL: Generate SQL with AI to save time and reduce errors.
• Security-first: SOC 2 Type 1 & Type 2 compliance reports, emphasizing security, confidentiality, and privacy.
• Self-service: Users can pull in data from multiple sources with one-click integrations.
• API exposure of blended datasets: Expose curated data sets via APIs for downstream apps.

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Deployment & Adoption

• Two deployment options: Peaka Cloud (startups & SMBs) and Peaka Enterprise (enterprise-grade security and semantic layer).
• Designed to minimize the need for dedicated data engineering, lower maintenance costs, and shorten time-to-value.
• Case-driven testimonials emphasize ease of use, cost savings, and ability to unify data across sources without a data warehouse.

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Use Cases

• Build a unified data view by federating SQL and NoSQL data sources.
• Replace complex ETL pipelines with zero-ETL data integration.
• Surface unified datasets through APIs for internal apps and external partners.
• Accelerate SQL development with AI-assisted query generation.

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Safety and Compliance

• Focus on security and privacy with SOC 2 reports; designed to minimize data handling risks and keep data access controlled and auditable.

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Key Benefits

• Rapid data stack creation with minimal scripting.
• Real-time data access across multiple data sources.
• Lower total cost of ownership through reduced ETL and engineering needs.
• Broad ecosystem of connectors and templates for common SaaS tools.
• AI-assisted SQL to boost productivity and accuracy.
• Security-first architecture and compliance posture.

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Feature highlights

• Zero-ETL embedded data integration platform
• Real-time federated queries across SQL, NoSQL, SaaS, and APIs
• Streaming ingestion and Change Data Capture (CDC)
• API-to-SQL and SQL-to-API capabilities
• NoSQL to SQL compatibility for unified querying
• AI-generated SQL to accelerate data tasks
• Wide range of ready-made connectors (Stripe, MySQL, Google Sheets, Slack, Zendesk, etc.)
• Self-service data integration with low administrative overhead
• Data democratization for business users
• SOC 2 Type 1 & Type 2 security compliance
• Cloud and Enterprise deployment options