Operationalize Your Data

Data Pipeline Deployment and Promotion

Capabilities

• Easily export and import data pipelines from development to test to production with a few clicks
• Integrate pipeline development and management with your CI/CD and SDLC processes
• Abstracted source, target and infrastructure details from data pipeline logic

Benefits for Databricks users

Rapid promotion from development to production

• Migrate configurations (not code) across different environments with built-in infrastructure and data connection abstraction
• Ease the hand-off between developers and productions ops with code-less configurations

Automate your CI/CD processes

•  Data pipeline logic is transported as configuration files and can be integrated with source code repos and processes

Hybrid and Multi-Cloud Deployment

Capabilities

• Design once, deploy anywhere (on-premise, multi-cloud, multi-cloud)
• Support for transient and burst workloads
• Portability from one cloud environment to another with no rework required
• Native optimization for maximum performance on each cloud compute engine (Databricks, HDInsight, EMR, Dataproc, Cloudera, etc)
• Enterprise Cloud Bridge for on-premise to cloud data sync
• Cloud replicator to rapidly replicate data across big data and object storage, with bi-directional incremental sync

Benefits for Databricks users

Flexibility

• Retain the flexibility to migrate and run data pipelines in any environment whether on-premise, cloud or hybrid, without needing complex rework
• Overcome data gravity by replicating data to your preferred compute environment
• Access data whether it is on-premise or in the cloud, from where it need to be processed