PeerDB specializes in cost-effective Postgres replication and change data capture, enabling real-time data synchronization across distributed systems. This technology addresses the challenges of data consistency and availability in environments requiring reliable and efficient data management.
Funding
$3.6M 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
Organizations using PostgreSQL for their operational databases face challenges in efficiently replicating and synchronizing data to data warehouses and other analytical systems. Existing ETL tools often lack the performance and PostgreSQL-specific optimizations required for large-scale data movement, leading to increased costs and complexity.
Solution
PeerDB provides a cost-effective and high-performance solution for replicating data from PostgreSQL to various data warehouses, queues, and storage engines. It leverages PostgreSQL-native features and infrastructural optimizations to achieve significantly faster data transfer speeds compared to traditional ETL tools. PeerDB supports both Change Data Capture (CDC) and streaming query replication, enabling real-time data synchronization across distributed systems. The platform offers a PostgreSQL-compatible SQL interface, allowing users to manage ETL processes using familiar tools and techniques.
Target Audience
PeerDB is designed for data engineers, data scientists, and database administrators who need a fast, reliable, and cost-effective way to replicate data from PostgreSQL to data warehouses and other analytical systems.
Features
- Real-time Change Data Capture (CDC) from PostgreSQL to destinations like Snowflake, BigQuery, ClickHouse, Kafka, and S3
- Streaming Query Replication for near real-time data synchronization
- Parallel initial load capabilities for faster synchronization of large tables
- Support for schema change propagation, automatically adapting to changes in the source PostgreSQL database
- Efficient handling of PostgreSQL TOAST columns and other complex data types
- Native metrics and alerting for monitoring replication processes
- Integration with ClickHouse Cloud for a seamless data ingestion experience
- Support for multiple streaming modes, including log-based, cursor-based, and XMIN-based replication
- Postgres-compatible SQL interface for ETL management