DemandTools for AppExchange is a data quality toolset for Salesforce.com CRM centric customers.
The product comprises 11 individual modules to control, standardize, verify, deduplicate, import and manipulate Salesforce and/or Force.com data.
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Db2 Big SQL
Score 9.0 out of 10
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IBM offers Db2 Big SQL, an enterprise grade hybrid ANSI-compliant SQL on Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Big SQL offers a single database connection or query for disparate sources such as HDFS, RDMS, NoSQL databases, object stores and WebHDFS.
DemandTools is perfect for any system that constantly adds new records to its database. For example, in higher education, we are constantly purchasing search names from various vendors and DemandTools allows us to make sure we are not doubling up on the same records. It saves us money in the long run as we are not mailing out multiple copies of our brochures to the same person.
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.
I wish I could make changes to my existing scenarios using save rather than having to create a whole new scenario. Maybe you can, I just haven't been able to.
Some features aren't user intuitive and it takes a while to learn.
It's a great product. The only thing that holds us back is it was frustrating working with their sales team. We also don't like that when Validity purchased DemandTools they immediately started charging us quite a bit while it had been free for non-profit users when CRMFusion owned it. They also don't let you buy it for just 1 or 2 seats, you have to pay, I believe, in batches of 100 seats.
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.
Support can be slow so do not expect quick turn for urgent issues. Help for specific queries not not there. Product tech support is offered. It would be great if query support, even if paid, was offered The training webinars help with the basics but not much if you need advanced functionality.
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!
The trainings are free live webinars that give you a solid base for getting started with the program. The only weakness is they don't have any advanced classes.
I had just started using Salesforce about 3 months before I did the implementation myself, and it was easy to do just following their step-by-step instructions.
Though RingLead has much more to offer in terms of automation (and it is in Salesforce rather than a separate program), DemandTools still has our heart. DemandTools is very cost-friendly and we were able to increase the value of DemandTools by programming in additional saved scenarios. I decreased admin time in the DemandTools suite by approximately 25% after implementing saved scenarios for every reoccurring update or list upload.
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.
