This week, we announced the availability of a new release of Attunity Compose, Attunity’s data warehouse automation software. This new release offers significant enhancements for enterprise customers including 10x faster extract, transform, load (ETL) processing speeds as well as advanced DevOps capabilities that streamline the data warehousing design, development and rollout processes.
The new release of Attunity Compose provides:
- Faster ETL performance: significant optimizations leverage the power of the underlying data warehouse platform to provide faster processing on platforms such as Oracle
- Managed process for DTAP (Development, Testing, Acceptance and Production): new capabilities accelerate data warehousing initiatives by creating project deployment packages directly from the Attunity Compose user interface
- Advanced version control: Integration with enterprise source control systems helps developers easily roll back to earlier versions of a project while minimizing disruption to all team members
- Improved team collaboration: support for concurrent development of models, mappings, and data marts enables multi-user development projects
An early adopter of Attunity Compose, a leading UK insurance company offering a wide range of insurance products and services commented, “We greatly appreciate the automation and agility it lends our development process, including version control with rollback capabilities. As a growing insurance company, we are managing incredible volumes of data. Being able to analyze it more quickly gives us a competitive edge while the automation saves us months of costly development time and labor.”
“Enterprises today need a faster way to enable analytics, and deliver more value with quicker iterations and less resources. Attunity Compose is an innovative data warehouse automation solution to accommodate these needs,” explains Itamar Ankorion, Chief Marketing Officer at Attunity. “As we see customers scale their deployments in scope and volume, we enhanced Attunity Compose to enable higher ETL performance and larger implementations.”