Since there are no answers to my previous question. I\'m really thinking to implement a custom DB which will satisfy my requirements.
Free and stable is the winner. My plan is quite trivial - just put all the data in memory and use开发者_开发问答 the cluster without changing the application code. Then, for persistence, I could just
FastDB is an open-source, in-memory database that\'s tightly integrated with C++ (it supports a SQL-like query language where tables are classes and rows are objects). Like most IMDBs, it\'s meant for
My integration tests would run much faster if I used in-memory-database instead of PostgreSQL. I use JPA (Hibernate) and I need an in-memory-database tha开发者_StackOverflowt would be easy to switch t
More specifically, are there any databases that don\'t require secondary s开发者_如何学运维torage (e.g. HDD) to provide durability?
I have an app/tool whic开发者_Python百科h reads from a CSV file and writes to another, processing it using HSQLDB.
We have an application that takes real time data and inserts it into database. it is online for 4.5 hours a day. We insert data second by second in 17 tables. The user at any time may query any table
I\'m doing some queries in Python on a large database to get some stats out of the database. I want these stats to be in-memory so other programs can use them without going to a database.
I would like to be able to take advantage of the benefits of GIT (and its workflows), but without the cost of disk access - I just would like to leverage the distributed revision control capabilities
We have a system which performs a \'coarse search\' by invoking an interface on another system which returns a set of Java objects. Once we have received the search results I need to be able to furthe