NoSQL from a RDBMS company

Oracle has announced an open source product for the NoSQL space, the Oracle NoSQL Database . Unlike other popular products including Redis, MongoDB, Cassandra, Voldermort and many others, Oracle has set a benchmark on the features that are truly necessary for highly available data systems.

Many products in the NoSQL space have told you that consistency is not needed, eventual consistency is good enough, that transactions are not performant enough to include as a feature. No standards exists, there is no common interface for communication, or key features that products aim to meet or better. With this product, features including transactions, replicated data and failover which are built in, are features other open source NoSQL products will need to match.

Oracle NoSQL Database is a key value store, supporting a major/minor key for co-locating regularly accessed information for more consistent data retrieval. The API (built in Java) supports GET, PUT, and DEL operators. The system is designed to not have a single point of failure, and to support a node failure without impact. The replication factor is reported to enable up to 7 copies of information, which would be a feature to support cross data center management. The database driver is latency aware, so this can support load balancing operations for optimal performance.

I am excited to hear about this and looking forward to evaluating the software. I will be watching more closely how the integration of MySQL and Oracle NoSQL can be an offering for startups and Web 2.0

Tagged with: Databases MySQL Oracle NoSQL Database

Related Posts

More CPUs or Newer CPUs

In a CPU-bound database workload, regardless of price, would you scale-up or scale-new? What if price was the driving factor, would you scale-up or scale-new? I am using as a baseline the first available AWS Graviton2 processor for RDS (r6g).

Read more

An Interesting Artifact with AWS RDS Aurora Storage

As part of using public datasets with my own Benchmarking Suite I wanted upsize a dataset for larger volume testing. I have always used the INFORMATION_SCHEMA.TABLES data_length and index_length columns as a sufficiently accurate measurement for actual disk space used.

Read more

How long does it take the ReadySet cache to warm up?

During my setup of benchmarking I run a quick test-sysbench script to ensure my configuration is right before running an hour+ duration test. When pointing to a Readyset cache where I have cached the 5 queries used in the sysbench test, but I have not run any execution of the SQL, throughput went up 10x in 5 seconds.

Read more