MonetDB is an open source column-oriented relational database management system issued and supported by the Dutch MonetDB development team.
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Oracle TimesTen
Score 7.8 out of 10
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Oracle TimesTen In-Memory Database (TimesTen) delivers real time application performance by changing the assumptions around where data resides at runtime. By managing data in memory, and optimizing data structures and access algorithms, database operations execute achieve gains in responsiveness and throughput. With TimesTen Scaleout, a shared nothing scale-out architecture based on the existing in-memory technology, TimesTen allows databases to scale across hosts, reach hundreds of terabytes in…
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.
TimesTen is well suited for applications using smaller data or smaller data stores and where transaction response times are not as business critical. TimesTen is good for applications already accessing Oracle and need to cache data for quick read/write operations. TimesTen is not appropriate for large data dependent applications or applications requiring fast response times. In these cases, using Oracle database or Exadata is better
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.
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.
Sybase does not have an in-memory database until version 15 so TimesTen was ideal for caching data. TimesTen has reliable replication and backing up mechanisms. Oracle takes longer to set up and use for most applications where as TimesTen is a smaller DBMS that is quick and easy to set up and use. TimesTen can connect to Oracle for caching data so using Oracle as a backend makes sense
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.
TimesTen has had a positive impact from a developer's perspective because implementing TimesTen is quick and easy. The benefits of TimesTen can be seen almost instantly. For instance, the application start up time is faster, the data is easy to maintain and the performance is fast for TimesTen clients.
TimesTen has had a positive impact for the business because it can be made accessible to users via a GUI. This gives users transparency to the data at any time.
The negative impact is that once the TimesTen database has grown too large, the application should move to using Oracle database or else it suffers from performance degradation and stability issues.
