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IBM Hybrid Data Management |
Your organization can derive significant value from your enterprise
data.
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Collect, organize and analyze data
8x
Access data quicker
8x faster access to distributed data at lower costs across cloud and on-premises sources.
25–65%
Boost productivity
25–65% reduced ETL requests allow data engineers to concentrate on higher value work.
$27M
Cut costs
USD 27 million in manual cataloging eliminated to save costs like IBM Global Chief Data Office experienced.
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Benefits
Quickly query across platforms
Access and analyze data and perform queries on batch and real-time data across sources, like Hadoop, object stores and data warehouses.
Flexibly scale
Based on your requirements, shift workloads within public and private cloud and on-premises environments to achieve the hybrid cloud flexibility you need.
Drive real-time analytics
Concurrently exploit Hadoop SQL queries across Hive, Hbase and Spark, using a single database connection — even a single query — to achieve analytics in real time.
Connect your data
Make data available to data scientists and analysts with connections to IBM Watson® Studio and existing Jupyter Notebooks to federate to RDBMS and to Oracle, Db2 and IBM Netezza®.
Improve performance
Numerous users can query at the same time, with the ability to run all 99 TPC-DS queries up to 100 TB, supporting multiple workers per node for efficient utilization.
IBM SOLUTIONS
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