eXtremeDB for IoT’s Big Data

The eXtremeDB database system accelerates high performance desktop, workstation and server-based applications with an architecture for elastic scalability, replete with high availability and other critical features.


Sharding is partitioning a logical database into multiple physical databases, which might then be distributed across multiple nodes in a cluster.  Learn more.

Distributed Query Processing

Distributes a query to each shard of a partitioned database, to leverage the power of multiple cores and CPUs in executing the query.  Learn more.

CPU cache-optimized (pipelined) analytics

Pipelining causes the output of one function to become the input to the next function. Interim results within a pipeline are passed between functions within the CPU cache (not materialized). CPU cache is 3X – 4X faster than RAM. The pipelining technique giveseXtremeDB record-breaking speed. Learn more.

High Availability

Use High Availability to create a hot standby for every database shard. In the event of a failure of the primary server for that shard, eXtremeDB will failover to the standby to maintain availability of the system.  Learn more.

Hybrid in-memory/persistent DBMS

The strengths of the on-disk and all-in-memory approaches to data management in a single database system.

Time series (columnar) storage

Optimized for handling time series data such as trades and quotes, sensor data, and all other types of streaming data.


Multi-Version Concurrency Control dramatically improves scalability and performance, while simplifying application logic by eliminating the need for code to manage pessimistic database locking .  Learn more.

Rapid prototyping and development

Program in Python to rapidly develop a concept. Leverage the power and efficiency of LUA to implement server-side User Defined Functions. Learn more.

eXtremeDB for HPC Sweeps Records in Big Data Benchmark.Get more details.

McObject wins 2018 IoT Vendor of the Year.  Learn more.

eXtremeDB named Outstanding Structured Database in the Big Data Excellence Awards.  Read the press release.

What makes eXtremeDB a great tool for the professional developer?

The extensive list of key features.

All we do is database management systems.

Proven performance since 2001

  • We are proud to be used by companies that lead their industries.
  • Read our references
  • Learn about our speed records in independently audited benchmarkstudies


“In addition to speed and the ability to process large quantities of data, clients also require richer data sets for golden price generation, which is what  eXtremeDB will help us do outstandingly well.”

eXtremeDB was made for the IoT

The volume and velocity of data collected by IoT systems has the potential to surpass previous systems by a wide margin. Developers require a database system with an architecture that can keep up in both dimensions:

Scale vertically, i.e. “scale up” with the volume of data

Scale horizontally, i.e. “scale out” to bring more processing power to bear and maintain system responsiveness

Each node in a distributed eXtremeDB database can be arbitrarily large. Published & audited benchmarks demonstrate eXtremeDB setting performance and latency (jitter) records with 4 terabyte to 31 terabyte database, and up to 72 shards (nodes).

“We never stop researching and developing new and innovative ways to keep eXtremeDB – and thus our customers – ahead of the pack.”
McObject CEO Steve Graves

Sponsored by McObject

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