IBM InfoSphere Information Server vs. ParAccel

Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.

Actian matrix is not good for small data sets. If you have a limited data pool, or do not plan on having multiple users/clients accessing a data source, stick with a more traditional relational database model - Access for the truly small user base, or a DB2 or Oracle back end if your going to have multiple users, and moderate sized data. Actian is for LARGE data sets (Big Data, in the industry parlance). Millions of rows of data from multiple sources with various down stream systems accessing the database. It is for data analytics of large data groups and intense data mining.

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• IIS best for ETL ,not ELT , and many and diffrent source systems.
• It also can process big data , unstuctured data
• It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems

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• Super fast. Aggregate query such as SUM(), Count() returns result within seconds from a table with more than billion records.
• Excellent data compression.
• Easy maintenance. We managed this database without having a full time DBA.
• Support ANSI SQL and ODBC/JDBC. It's easy to connect to this database from other systems.

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• I would be nice to have a new web development environment for DataStage.
• Connectivity Packs such as Pack for SAP Application are a little pricey.
• It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.

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• Some of the bugs were annoying and QA definitely needs improvement
• Connectivity to Informatica and ETL providers
• Workload management could be better like when you compare with Teradata

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• Scale of implementation
• IBM techsupport

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I wish to give higher rating for the speed and efficiency in handling the queries, but only 6 because of consistent bugs we encounter

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• Faster initial response
• Trained professionals
• Very helpful in resolving issues

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Leader failover setup is the toughest and lack of proper documentation is making things tough.

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DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS

Actian Matrix is our first big data analytics storage platform, and as I was not involved in the POC process to compare it to other products out on the market, unfortunately I cannot say if it is better than other Big Data storage options. I can say that it out performs products such as Oracle or UDB in regards to the volume of data it can easily index and handle.

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Independently Invited by TrustRadius

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• Productivity of the development of integration processes.
• Better documentation and governance.
• Reduce training costs of various technologies.

• ROI is great, less spending on full time DBA and that money could be use to add additional node.
• Negative - Not many developers are well aware of this tool, it takes some time to learn.

Incentivized

Independently Invited by TrustRadius

A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info