Real-time Data Pipeline Platform

A unified data movement and transformation platform that combines streaming, log-based Change Data Capture, and batch processing into a single real-time pipeline engine with sub-100-millisecond latency. The platform connects to over 200 source systems including databases, message queues, SaaS applications, and file stores, enabling organizations to build low-latency ETL and ELT pipelines that deliver data to analytics platforms, operational systems, and AI models exactly when needed. Key capabilities include real-time CDC from PostgreSQL, MySQL, MongoDB, Oracle, and SQL Server, streaming ingestion from Kafka and Kinesis, and transformation using SQL or TypeScript within the pipeline itself. The platform moves over 3 petabytes of data per month for more than 5,500 users with 99.9 percent uptime. Notable customers include Glossier, which runs real-time supply chain and marketing analytics; Xometry, which saved 60 percent on data integration costs with a secure private deployment; and Shippit, which migrated from a competing platform to reduce costs by 45 percent while modernizing data infrastructure. The platform offers three deployment modes: a fully managed public cloud for quick setup, a private deployment for security-sensitive environments with VPC isolation, and a BYOC model where infrastructure runs in the customer cloud account. Pricing is usage-based with no per-connector fees, and the platform includes built-in schema evolution, exactly-once delivery semantics, automatic retries, and observability with per-task latency monitoring and data quality checks.