About AVA
From avawiki
AVA Database is the next generation database designed in the Big Data era. It is aimed at the goals that traditional databases fails to achieve. AVA embraces the design features and technologies that specifically target at the speed and scalability. It can run queries 10x - 100x faster than traditional databases, achieve near real-time event processing, distribute data storage across the network, and run in massively parallel fashion.
AVA Database suites come with different versions to custom-fit your IT requirements. Please contact our sales representatives for further information.
Main Advantages
- Run 10x - 100x Faster Than Traditional Databases
- In traditional databases, such as Oracle or MySQL, executing queries that contain either "group by" clause or requires joins ( both inner and outer ) are notoriously time-consuming. AVA provides super fast algorithms to deliver fast queries. For example, joining two tables with 100 million unique keys ( compound keys with more than 3 columns involved ) takes only less than 1 minute, sometimes only about 10-15 seconds.
- Some queries are either not available or impossible to execute given the prohibitively extensive and time-consuming operations. For example, the time series operations to calculate statistics on a moving window. It only takes a fraction of a minute or seconds to process on a large set of data ( > 100 million records ). AVA's suite of scientific analytics and data mining tools provide the speed even unthinkable to existing commercial databases.
- Near Real-time Event Processing
- Thanks to high performance of the database, event processing and analytics are executed almost real time, with extremely low latency. Streaming of information ( messages, stock quotes and news ) are processed at the speed of 10-50 million records/second on a single thread.
- High Compression Ratio
- Distributed and Optimized Storage
- High Scalability
Main Design Features
- In Memory
- Column-based
- In-line compression/decompression
- Optimized Storage I/O
- Distributed Storage
- Massively Parallel
