3.4 out of 5 (5 Ratings)
Apr 26, 2017
We implemented Infosphere Master Data Management server pre-2010 just before IBM acquired the product from DWL. We have performed multiple upgrades starting with v8. Currently we have v10.1 in production with v11.4 slated for production in July of 2017. Our journey began with IBM providing all planning, design, and implementation services with oversite from Bank teammates. We have since transitioned to Bank leads in all key roles with supplemental resources from IBM, primarily development. We have one of the most extensive and complex implementations of the product where our usage is primarily as a operational data store serving as the Bank's system of record for client information, processing upwards of 28,000,000 transactions per day (online and batch). Our experience with the product has been very good although the upgrade from v10 to v11.4 is more complex than IBM evaluation indicated and we've found there is little hands on expertise within the IBM product and lab team with experience with an installation as complex as ours. Our enterprise architecture is SOA and we offer 240+ services to search, retrieve, update, and delete party and contract data.
Apr 24, 2017
It has been great so far
Apr 19, 2017
A lot of learning because the platform is not that mature plus lot of tools to pick from
Mar 21, 2017
They have a team of specialists in place to support the implementation and offer standard components from the Apache Hadoop stack with additional IBM specific options. However, we ran into trouble combining the standard with other vendor solutions, mainly because different (older) versions of open source components were used.
Mar 6, 2017
Was OK as a pilot because IBM provided lots of hands-on assistance. As we moved away from that phase, we had limited support and because to have technical issues. Upgrade took far longer than expected and there were bugs in the platform (BigR specifically). There are positive aspects to their offering (BigSQL), but we haven't been convinced that IBM is serious in this space - either as a cloud vendor or in the general Hadoop space. Focus is far more on Cognitive, Watson, etc.