Description
Peaka offers a comprehensive platform designed to transform raw, disparate enterprise data into a unified, AI-ready asset. It addresses the common challenge of data fragmentation by integrating data from a multitude of sources, including databases, SaaS applications, NoSQL databases, and APIs, presenting them as a single, cohesive data source. This unification is crucial for organizations looking to leverage artificial intelligence and advanced analytics.
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The platform's core capabilities revolve around three pillars: Data Integration, Semantic Layer, and Security. Peaka's zero-copy data integration utilizes over 300 pre-built connectors to seamlessly pull data without moving it. Its federated query capability allows users to query data in place, and materialization/caching options enhance performance. The semantic layer establishes a single source of truth, enabling the creation of reusable data products, a shared data dictionary, and end-to-end data lineage for transparency and trust.
Security is paramount, with Peaka offering granular access controls and permission-based discovery to ensure users only access authorized data. This robust governance framework supports accountable data ownership and usage, facilitating secure AI access at the data product level. The flexibility of Peaka extends to its API-to-SQL, NoSQL-to-SQL, and SQL-to-API functionalities, allowing organizations to treat any data source like a relational database, query NoSQL data with SQL, and expose consolidated data via APIs.
Peaka is built for companies aiming to accelerate their AI initiatives, improve data democratization, and reduce the time and cost associated with building and maintaining data infrastructure. It eliminates the need for complex ETL pipelines and costly data engineering teams, allowing businesses to build their data stacks in minutes rather than months. The platform empowers teams to ask questions of their data in natural language, making data more accessible to business users and reducing reliance on technical teams for report generation.
Deployment options include Peaka Cloud for startups and SMBs, Peaka Enterprise for enhanced security and a semantic layer, and Embedded Peaka for integrating dashboards and reports directly into SaaS products. Peaka is SOC 2 Type 1 & Type 2 compliant, underscoring its commitment to data security, confidentiality, and privacy. By providing a governed, reusable, and accessible data foundation, Peaka enables organizations to unlock the full potential of their data for AI and analytics.
- CategoryAI Data Analysis
- DeploymentCloud
- PlatformsWeb
Peaka's Core Features
Zero-copy data integration with 300+ pre-built connectors
Federated query capability to access data in place
Materialization and caching on Iceberg
Reusable data products for analytics and AI
Data dictionary and shared terminology for team alignment
End-to-end data lineage tracking
Granular access controls for secure data access
Permission-based discovery of data assets
API to SQL conversion for any data source
NoSQL to SQL querying capabilities
SQL to API for exposing consolidated data
AI-generated SQL for faster query writing
Self-service integration with popular SaaS tools
SOC 2 Type 1 & Type 2 compliance
How to use Peaka?
Connect Data Sources: Integrate databases, SaaS tools, NoSQL, and APIs using pre-built connectors.
Define Data Products: Create reusable data assets with a semantic layer and shared terminology.
Govern Access: Implement granular access controls and permission-based discovery for security.
Query Data: Utilize natural language or SQL to query unified data, wherever it resides.
Power AI Applications: Securely access governed data products to accelerate AI initiatives.
Embed Insights: Integrate dashboards and reports into your SaaS product using Embedded Peaka.
Peaka's Use Cases
- Unified Data Access
- AI Application Development
- Business Intelligence
- Data Governance
- SaaS Data Integration
- Cost Reduction
- Natural Language Querying
- API Data Transformation
- NoSQL Data Access
