ARMONK, N.Y., June 4, 2019 /PRNewswire/ -- IBM (NYSE: IBM)
today announced a major upgrade to the Db2 database that is
designed to enable enterprises to infuse AI and data science into
their database management processes to more easily build AI into
applications and gain greater insights from their data.
Among the many enhancements in Db2 version 11.5, is built-in
support for data science development. Through a series of
newly-available drivers for multiple open source programming
languages and frameworks, it will now be easier for developers to
analyze and build machine learning models into applications using
Db2. The enhancements are designed to help Db2 developers more
easily write applications that require less management, are more
resilient to outages, and help improve productivity.
"Today, expectations for the database are higher," said
Prasun Mahapatra, senior database
administrator at Micro Focus, and a Db2 user. "Databases must be
smarter. Building out Db2 as the new AI database will enable users
to optimize everything from the usage of data structures, memory
and disk, to the most complex queries. And the access to such an
extensive set of Jupyter Notebooks enables people to kickstart
their Db2 development."
The supported languages include Go, Ruby, Python, PHP, Java,
Node.js, Sequelize. In addition there is support for popular
frameworks such as Visual Studio Code and Jupyter notebook. The
latest drivers and code samples for each are available now at
GitHub.
Also new with Db2 11.5 is the Augmented Data Explorer, a new
natural language querying feature that is designed to give
developers a traditional search engine-like experience. Users can
pose questions to Db2 and receive results in data visualizations
and summaries written in natural language, for easy understanding.
In addition, the tool, which is containerized for easy deployment
and management, features dynamic visualization, which can help
speed the exploration of datasets when building applications.
In addition to these advances, Db2 users and developers will be
able to take advantage of the new capabilities in IBM's Data
Virtualization technology – already available with IBM Cloud
Private for Data. Data Virtualization is designed to enable users
to easily search across diverse data sources. With it, developers
and data engineers can focus on development, minimizing time spent
on extract, transform, and load (ETL) processes that are associated
with moving data. Db2 now also includes BlockChain support
that helps application developers pull data directly from a
BlockChain and combine that data with other data sources for
analytics or dashboards.
The extended language support and new capabilities are part of a
broader strategy to further advance the IBM Hybrid Data Management
portfolio of Db2 solutions into the era of AI. As organizations
work to become nimble, they're looking for more ways to reduce the
expensive and time-consuming processes required to prepare data to
be analyzed and write applications.
Streamlined Portfolio / Shared Code Base
With the addition of Db2 11.5, IBM has streamlined the portfolio
to three editions that share the same common code base: Db2, Db2
Standard, and Db2 Advanced.
IBM Db2 is a no charge download for trials and developers and is
intended for a single application developer to use to design,
build, test and prototype applications for deployment on Db2 client
or server platforms. This edition includes all of the capabilities
of Db2 but has specific hardware limitations.[1]
Db2 Standard is designed for production systems in medium-sized
businesses and departments within large organizations. Db2 Advanced
is designed for medium-to-large businesses and optimized for
transactional and operational analytic workloads. Db2 Advanced has
no compute or storage limitations and can be deployed on physical
and virtual servers. It is delivered as part of the IBM Hybrid Data
Management Platform, enabling administrators to access capabilities
beyond the transactional database with greater ease.
Because each edition shares the same common code base, users can
easily upgrade and scale from the no charge edition to Standard and
Advanced, as their needs change. For existing Db2 clients, all
licenses can be converted to Db2 version 11.5.
In addition, Db2 11.5 features an updated common SQL engine that
enables users to access data from a growing number of data sources.
For example, with Db2 11.5, users can access data from any existing
Db2 family offerings, including IBM Db2 Warehouse, IBM Db2 Big SQL,
IBM Integrated Analytics System and existing IBM PureData® for
Analytics (Netezza®) systems. In addition, Db2 users can
access Oracle, Teradata, and Microsoft SQL Server, as well as new
cloud sources like Amazon Redshift.
"The advances we've made to Db2 today are reflective of our
clients' growth, and the acceleration of AI adoption we all
expect," said Daniel Hernandez, Vice
President, IBM Data and AI. "No longer a traditional system of
record or datastore, the database is rapidly becoming a distinct
component of the AI strategy, and Db2 is that AI database."
About IBM Data and AI
For more information go to https://www.ibm.com/analytics/
Contact
Mike Zimmerman
IBM Media Relations
mrzimmerman@us.ibm.com
[1] Db2 11.5 is limited to 4 cores and 16GB of RAM and cannot be
used in production systems; Db2 Standard is limited to 16 cores and
128GB of RAM.
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SOURCE IBM