

BladePipe is a real-time data integration and change data capture (CDC) platform for building end-to-end data pipelines across more than 60 data sources. It supports full data migration, incremental replication, schema migration and evolution, DDL synchronization, bidirectional sync, visual data transformation, data verification and correction, monitoring, and alerting. Data teams use BladePipe to continuously move operational data between databases, data warehouses, data lakes, message queues, search engines, caches, and analytics or AI systems with low latency. BladePipe is available as Cloud (SaaS Managed and BYOC), Enterprise (on-premises), and a free Community edition, enabling organizations to choose between managed deployment and keeping data entirely within their own network.

CueCast helps QA, engineering, product, and operations teams turn real web workflows into reliable, repeatable regression tests without writing test scripts. Users record interactions directly in their application, manage reusable test steps, run tests in real browsers, and review screenshots, errors, and page context in one place. CueCast combines flexible element matching, browser-level input through Chrome DevTools Protocol, and automatic DOM fallback to improve replay resilience. AI assists with step descriptions and failure analysis, while recorded test steps remain the source of truth.
BladePipe is a real-time CDC, ETL, and database migration platform built for modern data teams. We help organizations move data across 60+ systems, including databases (e.g., MySQL, PostgreSQL, SQL Server, Oracle, MongoDB), files, data warehouses, data lakes, message queues, search engines, and caching services. BladePipe simplifies complex data movement scenarios such as real-time replication, cross-database migration, streaming data pipelines, and AI RAG pipelines. It supports both fully managed cloud and self-hosted deployment models, making it suitable for enterprises with diverse security, compliance, and infrastructure requirements. Trusted by 100+ enterprise customers and used by 1,000+ data engineers and developers worldwide.