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Enterprise Layer Intelligence
Categories/Data Platform & Integration/Peaka
Peaka

Peaka

Founded 2020

Connect scattered databases, SaaS tools, and APIs into a unified queryable source

Pricing model

Free Tier, Paid

You can use Peaka to connect databases, SaaS applications, and APIs into a unified data environment without maintaining custom ETL pipelines. The tool offers zero-copy data virtualization, allowing you to run federated SQL queries across disparate systems in real time. You can convert API endpoints and NoSQL databases into relational tables, build governed data products, and generate SQL queries using plain language prompts. It also provides granular access controls, materialization with Apache Iceberg, and pre-built connectors to support fast reporting, embedded analytics, and modern AI projects.

What Peaka does

Connect third-party SaaS tools and databases via pre-built connectorsRun federated SQL queries across separate databases simultaneouslyConvert REST API endpoints into relational database tablesGenerate SQL queries using natural language promptsSet granular access permissions and data governance rulesExport unified datasets to business intelligence dashboardsTrack data lineage from source systems to analytics toolsZero-copy federated queries across multiple data sourcesOver 300 pre-built connectors for databases, SaaS, and APIsAutomatic conversion of APIs and NoSQL stores into SQL tablesData caching and materialization using Apache IcebergAI-assisted SQL query generation from natural language promptsSemantic layer with data dictionaries and end-to-end lineage trackingGranular permission controls and security governance

Pricing breakdown

Pricing model: Free tier, Paid

PlanList price
Free TierFree
Pay-as-you-go$1 / mo

Frequently asked

StripeStripeSendGridSendGridGoogle SheetsGoogle SheetsSlackSlackZendeskZendeskMailchimpMailchimpHubSpotHubSpotGithubGithubJiraJiraPostgreSQLPostgreSQLIntercomIntercomAirtableAirtableServiceTitanServiceTitan

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Peaka, data integration, zero-ETL, federated queries, SQL, semantic layer, data virtualization, API to SQL, Iceberg, data connectors, database management, Looker Studio, data governance, NoSQL to SQL, embedded analytics