Pricing plans
| Plan | Features and capabilities | Pricing | |
|---|---|---|---|
Summary
Data Engine is IBM Cloud's central service for data lakes. It provides stream ingestion, data preparation, ETL, and data query from Object Storage and Kafka. It also manages tables and views in a catalog that is compatible with Hive metastore and other big data engines and services can connect to it. Data Engine supports full standard ANSI SQL to submit work as serverless jobs. There is no infrastructure to manage. The service is highly available, offers a Multi-AZ deployment, and autoscales based on your workload.
Features and capabilities
Transform data
Transform data to prepare it for all disciplines of AI by changing data content, granularity, format, and layout on disk.
Quick SQL access and easy data exploration
Query server logs, click-stream data, IoT messages, or raw analytics events using SQL directly on the files where you store them in Cloud Object Storage. Run ad-hoc SQL queries against fresh data before the data has moved through the pipeline and into the reporting stack.
Querying of archived data
Use SQL to query structured data archived from legacy systems, databases (for example, NoSQL), and/or data warehouses in Cloud Object Storage.
Integrate with your applications
Run SQLs from your application using the rich API ecosystem, comprising REST API, Python SDK, Node SDK, and IBM Cloud Function interface.
Stream data
Use SQL to stream data from Kafka into Cloud Object Storage using a permanent running job.
Catalog tables and views
Use an external Hive metastore catalog to organise your tables and views in a central catalog within the IBM Cloud.
Getting support
If you're experiencing issues with this product, go to the IBM Cloud Support Center and navigate to creating a case. Use the All products option to search for this product to continue creating the case or to find more information about getting support. Third party and community supported products might direct you to a support process outside of IBM Cloud.