Likelihood to Recommend My recommendation obviously would depend on the application. But I think given the right requirements, IBM DB2 Big SQL is definitely a contender for a database platform. Especially when disparate data and multiple data stores are involved. I like the fact I can use the product to federate my data and make it look like it's all in one place. The engine is high performance and if you desire to use Hadoop, this could be your platform.
Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer
Read full review I spent more than 1 year with SAP Vora, SAP Datahub and SAP Leonardo with ML, iOt. I believe this product has potential but it is not easy to adopt. SAP has to keep in mind how open-source big data technologies are able to deliver quick results. I know SAP is stabilizing and fighting hard against many open source technologies, but it still has a long way to go there.
Read full review Pros data storage data manipulation data definitions data reliability Read full review Modelling with SAP HANA and Hadoop Realtime Analysis using Vora and HANA as a Streaming engine Time series Analysis on large chunks of datasets Machine learning capabilities on Hadoop tables and spark contexts Read full review Cons Cloud readiness. Ease of implementation. Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer
Read full review Vora 2.0 in on premise scenarios could be improved, as adoption of the cloud is not an easy sell. Kubernetes and Docker integration need to be more seamless and quick to understand. If this is simplified, it will be easy to adopt Data hub orchestration and integrations could be simplified so that quick adoption within SAP BW, ECC, S4 HANa scenarios is possible. Read full review Usability IBM DB2 is a solid service but hasn't seen much innovation over the past decade. It gets the job done and supports our IT operations across digital so it is fair.
Read full review Support Rating IBM did a good job of supporting us during our evaluation and proof of concept. They were able to provide all necessary guidance, answer questions, help us architect it, etc. We were pleased with the support provided by the vendor. I will caveat and say this support was all before the sale, however, we have a ton of IBM products and they provide the same high level of support for all of them. I didn't see this being any different. I give IBM support two thumbs up!
Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer
Read full review Alternatives Considered MS SQL Server was ruled out given we didn't feel we could collapse environments. We thought of MS-SQL as more of a one for one replacement for Sybase ASE, i.e., server for server.
SAP HANA was evaluated and given a big thumbs up but was rejected because the SQL would have to be rewritten at the time (now they have an accelerator so you don't have to). Also, there was a very low adoption rate within the enterprise. IBM DB2 Big SQL was not selected even though technically it achieved high scores, because we could not find readily available talent and low adoption rate within the enterprise (basically no adoption at the time). We ended up selecting Exadata because of the high adoption rate within the enterprise even though technically HANA and Big SQL were superior in our evaluations.
Gene Baker Vice President, Chief Architect, Development Manager and Software Engineer
Read full review Return on Investment better data visibility solid reliability for mission critical data Read full review Negative impact would be Poc and RFI will need more time to adopt and decision making gets delayed Positive impact would be it's a great leap from SAP to adopt a Big data technologies and AI within cloud stream. But selling is going to take time. Read full review ScreenShots