AI TOOL PROFILE

Peaka Data Integration Platform

Peaka helps teams unify disparate data sources without building manual ETL pipelines. It is designed for organizations that need a governed data layer to support BI tools or AI applications.

Pricing

Offers a Free Tier with basic functionality. Pay-as-you-go starts from $1/month, with charges of $0.25 per PCU/hour and $0.50 per GB/month of storage. Enterprise pricing is custom.

At a glance

Best for
Mid-market companies, Enterprise companies, Startups, SaaS product owners
Key use cases
Unifying Siloed Data, API-to-Table Conversion, Powering AI Applications, Embedding Analytics in SaaS
Integrations
Airtable, HubSpot, Stripe, PostgreSQL, ServiceTitan
Visit PeakaPeaka software interface screenshot

How AI is used

Peaka is a logical data warehouse designed to merge data from various sources—including SaaS tools, relational databases, and NoSQL databases—into a unified data layer. It uses data virtualization to let users query information across sources.

The platform offers different deployment options, including Peaka Cloud for startups and SMBs, an Enterprise edition with enhanced security and semantic layers, and an Embedded version for including dashboards and reports within SaaS products.

Capabilities include the ability to convert APIs into tables and run SQL queries against NoSQL databases. For AI initiatives, the platform provides a semantic layer and governance tools designed to help refine the data scope for generative AI applications.

Buyers should confirm their compute and storage needs, as the pay-as-you-go model is based on Peaka Compute Units (PCU) and gigabytes of cached storage.

Key Features

  • Federated Query

    Supports querying data across multiple sources as if they were coming from a single source.

  • Semantic Layer

    Provides a unified layer with reusable data products and shared terminology to standardize business metrics.

  • Text-to-SQL AI

    Supports natural language queries, helping non-technical users generate reports and modify SQL queries.

  • Apache Iceberg Caching

    Caches frequently used data to support faster access and may reduce compute costs on underlying systems.

  • Granular Access Controls

    Supports permission-based discovery and data governance at the row and column level.

  • Pre-built Connectors

    Includes 300+ connectors for various SaaS tools, APIs, and databases.

Use Cases

  • Unifying Siloed Data

    Combining data from internal databases with third-party SaaS tools to create a single view of truth.

  • API-to-Table Conversion

    Connecting to generic 3rd party APIs and viewing the retrieved data as a table in real time.

  • Powering AI Applications

    Using a governed semantic layer to provide refined data to generative AI tools to help reduce hallucinations.

  • Embedding Analytics in SaaS

    Using the Embedded Peaka product to integrate dashboards and reports directly into a customer-facing application.

Integrations

  • Airtable
  • HubSpot
  • Stripe
  • PostgreSQL
  • ServiceTitan
  • Looker Studio

FAQ

What is a logical data warehouse in the context of Peaka?

It is a platform that merges disparate data sources into a single data layer, allowing users to query and blend data without needing to physically move it into a central warehouse.

How does Peaka's pricing work?

Peaka uses a pay-as-you-go model starting at $1/month, where costs are based on Peaka Compute Units (PCU) at $0.25 per hour and storage at $0.50 per GB per month.

Can non-technical users query data in Peaka?

Yes, Peaka includes a Text-to-SQL AI capability that supports querying data sources using natural language.

Source category: Data & Analytics

Source subcategory: Data Integration

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