Likelihood to Recommend This is a tool geared for smaller to mid-sized business that has disparate sources of data from different platforms in varying incarnations. It’s a great ETL tool to solve the problems a scenario like that causes, but you can also achieve that with good BI Tools like
Qlik Sense . So be careful that you really need an ETL tool, as opposed to an end-use tool with a built-in ETL component. If you are going ELT and have a lot of data an not a lot of corporate resources, this is a better option than Microsoft or Informatica
Read full review MonetDB is great when you are performing adhoc queries on a large set of data. For example, if you store data in a typical RDBMS such as MySQL or Postgres and want to join large tables for analytics but the query runs unacceptably slow then MonetDB can act as a second database to offload complex queries. Based on my experience, it may not be a production-ready database since there aren't many DBAs familiar with it and due to lack of documentation, maintenance can become a little tricky.
Read full review Pros Quick response for queries involving multi-million rows Low cost Read full review It is easy to use. You are able to input lots of data and it understands and populates information. Able to change settings on the fly to use with your needs. Read full review Cons As I said before, more training or greater visibility to training tools/options would be a plus. It’s easy to publish YouTube videos these days, I think they should make more of them. Differentiation would help, there’s not a lot out there to drive you to buy the product if you are well informed in the market. If you know the market, you steer towards the large or trendy products. It’s a good product, but lost in the noise of the field I think. Hitching the wagon to a major software brand (like Mule did to Salesforce) would help grow the user base, and thus increase the activity in the support community. More users also translates into product champions. Read full review This is an open source software so there are obvious drawbacks, the biggest of which is a lack of documentation. MonetDB does not seem to be well known outside of the academic environment so there is less information when you are searching for answers of any type. I'd like to see more use cases and/or best practices so that commercial companies like ours can optimally use all of its highly performant features. The code is written in C/C++ and this can be negative if you are a mainly java-shop and need UDF - User Defined Function. Read full review Alternatives Considered Oracle>DB2>MS SQL Server>GreenPlum>Vectorwise
Read full review We have used Five9 in my previous company but on a much smaller scale. It was more expensive, however we were using it for a max of 50 employees, now we need a much bigger platform. We also used Five9 for other things, like phone dialers etc. so it was a little different.
Read full review Return on Investment We had to move out of VectorWise after using the database for 2 years. Hence no positive impacts. Read full review If you are familiar with a general database concept and played with open source products before then MonetDB will give you immediate return in terms of productivity since developers can quickly develop and verify their test cases involving back-end database with a large sample data set. There is a stiff learning curve due to lack of documentation and sparse information available on the internet. Overall experience has been positive since MonetDB gives you another option when it comes to building out a data warehouse. Read full review ScreenShots