VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
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VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
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Re: VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
#2Re: VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
#3Voltdb = memory only database, thus unfair comparision...
Thus the question would be, does the performance advantage of VoltDB's approach outweigh the penalty of static RAM performance?
Re: VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
#4Voltdb = memory only database, thus unfair comparision...
* A system which holds all data in memory is faster than a system which uses memory and disks. True, but not really news.
* If you leave out features your implementation can be faster (e.g. they only support transactions which span a single stored procedure). Again .. no news here.
Something else I've missed?
Re: VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
#5Voltdb = memory only database, thus unfair comparision...
Re: VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
#6Voltdb = memory only database, thus unfair comparision...
The problem is MySQL etc doesn’t are not designed for this so while they become a lot faster they are still relatively slow. Also, RAM is only getting larger so once you make the transition to a RAM based DB you are unlikely to need to transition back. PS: I suspect most real world workloads revolve around small datasets that connect to big blobs of data. Think Users/Projects linking to Pictures, Documents, and Video etc. You don't edit documents in your database but you do want to track version information, users, permissions timestamps, approval etc. It's often a good idea to mix a Key Value style data store with a front end SQL database.
Re: VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
#7Voltdb = memory only database, thus unfair comparision...
Re: VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
#8- Run transactions to completion –single threaded –in timestamp order [will use multiple cores, with each having a single thread]
- Only data changed within a single invocation of a stored procedure is in a transaction, transactions can't span multiple rounds of communication with a client.
- You are also discouraged from doing SUM operations because it would take a long time and block other transactions.
I don't see how this is different than a NoSQL database. You cut a number of features (some critical to certain applications) from a relational database and get a bastardized version of a major database. It's a NoSQL database that uses a subset of the SQL standard and an enforced schema!
I find these discussions extremely annoying. I'm currently using MongoDB for my application because:
1. I don't need join support
2. I prefer my current schema to be denormalized.
3. Documents store better than rows for my data.
I could have used a relational database just fine. My data will fit with a little nudging.
The point is, you use the technology that best fits your problem. My current problem fits well into MongoDB but it could be solved less nicely with a different database.
All VoltDB is is another option if you have corners you can cut from the normal relational database model.
Re: VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
#9Voltdb = memory only database, thus unfair comparision...
I think this could be a worthwhile comparison if tested on a platform where the in-memory store is as safe as traditional hard-disk storage, say a machine with some form of static (non-volatile) RAM for main memory. Thus the question would be, does the performance advantage of VoltDB's approach outweigh the penalty of static RAM performance?
Re: VoltDB. Speed = 100x MySQL & 13x Cassandra & 45x Oracle
#10This is where it fails when compared to many NoSQL solutions.