Peaka is a zero-ETL data integration platform that enables real-time querying of diverse data sources, including relational and NoSQL databases, SaaS tools, and APIs, without the complexity of traditional ETL processes. This approach significantly reduces the time and cost associated with data management, allowing businesses to build their data stack in minutes instead of months.
Funding
$1M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional ETL (Extract, Transform, Load) processes for data integration are complex, time-consuming, and expensive to maintain, often requiring specialized data engineering teams and significant infrastructure investment. Businesses struggle to access and query data from diverse sources in real-time, leading to delays in decision-making and missed opportunities.
Solution
Peaka offers a zero-ETL data integration platform that enables real-time querying of data from various sources, including relational and NoSQL databases, SaaS tools, and APIs. By eliminating the need for traditional ETL pipelines, Peaka simplifies data management, reduces costs, and accelerates the time to insight. The platform allows users to connect to data sources directly, query them as a single source, and build data stacks in minutes.
Target Audience
Peaka's primary customers are businesses of all sizes seeking to streamline their data integration processes, reduce data engineering costs, and gain real-time insights from diverse data sources.
Features
- Federated Query: Process data in place, querying, caching, and blending data from different sources.
- Streaming Ingestion: Ingest streaming data from sources like Kafka and Segment into Peaka BI Tables using webhooks.
- Instant Replication with CDC: Replace batch ingestion with real-time data access.
- API to SQL: Convert any API into a table and blend it with other data sources using SQL.
- NoSQL to SQL: Query NoSQL databases using SQL.
- SQL to API: Query and filter consolidated data to form new datasets and expose them as APIs.
- Self-service Integration: Connect to popular SaaS tools with one-click connectors.
- AI-powered SQL Generation: Generate SQL queries faster and minimize errors using AI.