17. Name Type Requirements Interface
DB ETC
DBMS w/
- Hibernate
Hibernate shards AS framework Hibernate Java
- JVM
support
dbShards AS & Middleware MySQL Java, C
Middleware
Gizzard (Twitter) Any storage - JVM Java
Middleware &
Spider for MySQL MySQL Any
Storage Engine
- CUBRID
CUBRID SHARD Middleware - MySQL Any
- Oracle
48. - Similar performance until 128 Vuser
- When SHARD is not used, 128 Vuser is
maximum
- In SHARD usage case, when # of Vuser is
increase
- maximum performance can be achieved
as well as shorter response time and
lower CPU utilization.
64 128 192 256 320
Vuser
CUBRID is a fully-feature Relational Database Management System.CUBRID is not a usual open source project backed by a community, but it’s actually backed by the largest IT corporation in South Korea.
Today I want to talk about the importance of relational database systems.
Nice NoSQL vs. RDBMS discussion on one of the Russian forums http://it-talk.org/post80487.html#p80487
In South Korea, Enterprise Business is even more dependent on Oracle database.
If you ask companies who operate mission-critical services, they will tell:1) that a relational database system is still the best choice for mission-critical data;2) that service availability is more important than performance;3) that high performance is good, but predictable performance is the king.The fellows at Box.com cloud storage platform also say they choose RDBMS for mission-critical data.
We’ve developed Database Sharding in CUBRID!The difference between partitioning and sharding is that with partitioning you can divide the data between multiple tables within one database which have identical schema.But with sharding you divide data between tables located in different databases. Sometimes the database gets so big that mere tables partitioning is not enough, in fact, it will hinder the performance of the entire system. So we’d better add new databases otherwise called Shards.If HA is for READ distribution, Sharding is for WRITE distribution as you can write to different databases simultaneously.This feature is something mostdevelopers dream to have it on Database side rather than on the application layer. Database Sharding doesn’t just simplify the developers’ life, but also improves both the application and database performance.The Application gets rid of the sharding logic.The Database reduces the index size.Win-win!
We’ve developed Database Sharding in CUBRID!The difference between partitioning and sharding is that with partitioning you can divide the data between multiple tables within one database which have identical schema.But with sharding you divide data between tables located in different databases. Sometimes the database gets so big that mere tables partitioning is not enough, in fact, it will hinder the performance of the entire system. So we’d better add new databases otherwise called Shards.If HA is for READ distribution, Sharding is for WRITE distribution as you can write to different databases simultaneously.This feature is something mostdevelopers dream to have it on Database side rather than on the application layer. Database Sharding doesn’t just simplify the developers’ life, but also improves both the application and database performance.The Application gets rid of the sharding logic.The Database reduces the index size.Win-win!
- Talking about the open source RDBMS solutions, MySQL doesn’t provide database sharding out of the box.- Google had to significantly change MySQL replication to make it work similarly. But at the time Sun, the former owner of MySQL didn’t accept Google’s changes, resulting in a fork form mainstream without mainstream support.- Twitter has recently opened their MySQL fork.http://www.oracle.com/technetwork/database/features/availability/300461-132370.pdf