HPC Database Management System
The scalable performance for Cloud, Analytics and 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/Python/C/C++ stored procedures (UDF)
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.
What makes eXtremeDB for HPC different from all of the databases that also claim they are fast?
Many database systems include one or two of the same performance-enhancing features such as in-memory data storage, columnar data handling, fast native APIs as well as high performance SQL, and a short execution path. But you’d be hard-pressed to find all of them in one database system, and solutions offering some of these features may also lack “real” database capabilities such as ACID transactions. In contrast, eXtremeDB offers all of them plus a rich assortment of additional development and run-time features.
Does reliability matter to your next project? eXtremeDB was designed for mission-critical and safety-critical embedded systems. Learn more.
Features to look for in a faster database management system
Read about cross-platform database application development in our on-line documentation
A business case for eXtremeDB for HPC
eXtremeDB is reliable enough to be used in military aircraft and nuclear power plants.
Read benchmark test results
eXtremeDB has set STAC speed records in year after year. Click here to find a list of our independently audited benchmark tests.
Try eXtremeDB for HPC
Download a free evaluation of eXtremeDB-64 for Windows or Linux; a real-time database system for high performance computing. Also available for trial, purchase and deployment on the almost unlimited AWS framework.
We’re honored to be used by companies that lead their industries. See a partial client list.
Find eXtremeDB in over 30,000,000 deployments world wide.
We’re honored to be used by companies that lead their industries. See our client list.
Find eXtremeDB in over 30,000,000 deployments world wide.
eXtremeDB is powerful enough to be used in these markets and others.
Finance
eXtremeDB for HPC time series database delivers the most powerful solution for managing market data while maximizing productivity through open, developer-preferred languages, making it the ideal database for financial systems.
Big Data & Analytics
Published & audited benchmarks demonstrate eXtremeDB setting performance and latency (jitter) records with databases from 4 to 31 terabytes, and up to 128 shards (nodes).
eXtremeDB for HPC was built for IoT big data with a flexible architecture, elastic scalability, columnar data layout and other features designed to provide the fastest time series analytics.
Amazon Web Services
Evaluate, purchase and deploy eXtremeDB for HPC within the almost unlimited AWS framework.
