In the modern product delivery ecosystem, enterprises often face challenges in effectively reading and utilizing heterogeneous data stored across multiple, dissimilar sources. OpsHub Data Bridge addresses this by helping organizations effectively pull, store, and process large volumes of data from their ALM (Application Lifecycle Management) and DevOps ecosystems into a central data source, known as a Data Lake. Data collected from various sources is stored in the Data Lake in its native format, which can then be leveraged for comprehensive analytics, predicting future trends, and improving flow metrics and activity analysis. OpsHub Data Bridge facilitates the creation of this central Data Lake by pooling all relevant data – including entities, history, comments, and relationships between integrated entities – from across the enterprise into one unified repository. This enables a continuous, real-time inflow of contextual data from any OpsHub supported system, ensuring ultimate seamlessness and transparency across the ALM & DevOps ecosystem. The expanded visibility provided by OpsHub Data Bridge strengthens an enterprise's technical fabric, allowing for the application of advanced data analytics and automation. It also prepares the enterprise for stringent compliance requirements. By connecting multiple disparate data sources within an ALM and DevOps environment, the Data Lake creates an integrated data pool, eliminating silos and information delays. This ultimately fosters a transparent ecosystem with streamlined data flow, leading to improved product quality and accelerated delivery timelines. The solution supports popular databases such as MySQL and Microsoft SQL Server.

Features & Benefits

• Data Lake Centralization & Real-time Inflow
  • Pools all data (entities, history, comments, relationships) from across the enterprise into a central Data Lake, facilitating continuous, real-time inflow of contextual data from OpsHub supported systems for seamlessness and transparency across ALM & DevOps.
• Enhanced Visibility & Analytics
  • Strengthens technical fabric by providing expanded visibility, enabling advanced data analytics and automation, and ensuring readiness for stringent compliance requirements. Connects disparate data sources to create a unified pool, eliminating silos and delays for improved product quality and accelerated delivery.
• Broad Database Support
  • Compatible with key database systems.
  • MySQL
  • Microsoft SQL Server