eXtremeDB
for
HPC
Cloud, Analytics & Financial Systems
eXtremeDB HPC for cloud, analytics and financial is built on the best embedded real-time database system to deliver the scalability and performance that IoT Big Data & Analytics demand.
Elastic scalability via sharding
Configure sharding easily with xPanel for database administration/ monitoring. Sharding horizontally partitions a logical database into multiple physical databases that can be distributed on any number of virtual or physical servers to take advantage of multiple I/O channels and multiple CPUs/CPU cores. Learn more
Distributed query processing
When a database is partitioned (sharded), a client application’s query can be distributed to all shards to be executed in parallel by each shard’s server. The eXtremeDB Distributed Query Engine handles this on behalf of, and transparently to, the client application and collects each shard server’s partial result set, merges them, and presents the complete result set. Learn more
LUA stored procedure (UDF) language
Lua is a very elegant, popular and easy-to-adopt scripting language. Lua’s sophisticated and blazingly fast dynamic Just-In-Time compiler (LuaJIT) and small footprint makes it a great procedural language to develop complex database user-defined functions and stored procedures for the eXtremeDB SQL server. Learn more
Time Series Database
eXtremeDB performs time series analysis with record-setting performance through two capabilities: columnar data layout and pipelining vector-based statistical functions. eXtremeDB for HPC also offers scalability, interoperability, and a suite of other specialized features for systems that can’t afford to fail. Learn more
eXtremeDB named Outstanding Structured Database in the 2018 Big Data Excellence Awards. Read the press release
‘Best Big Data Analytics & Technology Provider’ award goes to McObject. Read the press release
eXtremeDB was tailor-made to be a powerful tool for the professional developer.
Flexible hybrid in-memory & persistent storage
The eXtremeDB hybrid database combines the strengths of on-disk and in-memory database systems. Databases can be all-in-memory, all-persistent, or have a mix of in-memory tables and persistent tables. This unparalleled flexibility enables developers to tailor data management in order to optimize applications for speed and persistence, and make intelligent tradeoffs between cost-efficiency, power consumption, and physical space-conserving data storage hardware.
Pipelined, vector-based analytics for time series data
Pipelining is the programming technique in eXtremeDB that accelerates processing by combining the database system’s vector-based statistical functions into assembly lines of processing, with the output of one function becoming input for the next. Pipelining keeps data in the CPU cache during its transformation by multiple functions, avoiding data transfers between CPU cache and main memory. Watch a quick video about pipelining.
eXtremeDB repeatedly sets, then breaks, STAC performance records.
Read benchmark test results
eXtremeDB has set STAC speed records year after year. Click here to find a list of our independently audited benchmark tests.
Try eXtremeDB for HPC
Try eXtremeDB-64 for Windows or Linux; a real-time database system for high performance computing.
Read benchmark test results
eXtremeDB has set STAC speed records year after year. Click here to find a list of our independently audited benchmark tests.
Try eXtremeDB for HPC
Try eXtremeDB-64 for Windows or Linux; a real-time database system for high performance computing.
We’re honored to be used by companies that lead their industries. See our client list.
Find eXtremeDB in over 28,000,000 deployments world wide.
We’re honored to be used by companies that lead their industries. See our client list.
Find eXtremeDB in over 28,000,000 deployments world wide.
eXtremeDB is powerful enough to be used in these markets and others.
Finance
eXtremeDB has set STAC benchmark records with every test, proving pipelining is the key to the fastest time series analytics.
Big Data
Published & audited benchmarks demonstrate eXtremeDB setting performance and latency (jitter) records with databases from 4 to 31 terabytes, and up to 128 shards (nodes).
Amazon Web Services
Evaluate, purchase and deploy eXtremeDB for HPC within the almost unlimited AWS framework.