Operating Data with IBM Db2
December 23, 2022

Operating Data with IBM Db2

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Software Version

Db2 Warehouse on cloud

Overall Satisfaction with Db2

Inventory, ingest and question open information designs utilizing a solitary stage that upholds tight joining with your information lake over cloud object capacity. While implementing of the data over cloud for analytics the queries, the implementation of data analytics over cloud is much simpler and efficient here. Provides a stage that limited grating for clients by being exceptionally viable with existing SQL code, and simple to incorporate with SAP applications.

Pros

  • Bind together your information.
  • Interface dashboards and reports with the force of quick ingest and querying for constant bits of information.
  • Enable high performance and cost predictability based on object storage
  • Simple, Efficient and Reliable

Cons

  • Auto querying techniques
  • More enhanced dashboard features
  • Simplified navigation while jumping in data
  • Operation on continuous as well as imbalanced data
  • Higher database performance
  • Great security of data
It was used on large sets of organized as well as unorganized data where it required removal of unnecessary information and then again regeneration of data. This was implemented easily using the classification techniques and the dashboard reflected improvised results after analysis of complete overall model.
Db2 is available as good as any cloud for data. It can be accessed anywhere at any point of time when the user requires. The most improvised feature is that it allows users to integrate data from multiple sources and query it across multiple sections as a fragment or as a whole easily.

Do you think Db2 delivers good value for the price?

Yes

Are you happy with Db2's feature set?

Yes

Did Db2 live up to sales and marketing promises?

Yes

Did implementation of Db2 go as expected?

Yes

Would you buy Db2 again?

Yes

Its best suited where users want to create and predict with high-performance machine learning models inside data warehouse. The best feature is it can be integrated with the IBM AI: Watson for features and functionality. In helps the users perform real-time analytics and generate an instant report. However, prefetching and modelling of the data needs to be done at users end or in the different Db2 which can then be integrated again back here.

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