Built-in Data Management Security
eXtremeDB offers built-in data management security at rest and in transit.
eXtremeDB multi-layered security protects your database.
With AES encryption enabled, even a successful breach of network security will not expose database content to a bad actor.
Support for wolfSSL
The eXtremeDB embedded database system powers mission critical systems that demand “five-nines” reliability (99.999% up-time), thus security and performance is an absolute necessity. When it came to choosing a TLS provider, McObject needed a library that it was confident would satisfy the stringent guarantees it provides to its customers, and wolfSSL emerged as the clear choice. Read the blog at wolfssl.com
Active Replication Fabric offers reliable IoT database management by solving key challenges for developers. eXtremeDB offers bidirectional replication, multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud), built-in security, compression to maximize limited bandwidth networks, and more.
See a list of eXtremeDB features that maximize database management system reliability
Watch this 3 minute video to learn more about eXtremeDB with Active Replication Fabric™ and what makes it reliable data management for IoT systems.
IoT Edge
eXtremeDB is ideal for IoT edge database management because it is extremely small, fast, and reliable. The efficient design and unmatched speed have been giving developers a competitive edge since 2001. No other database management system offers developers more features to choose from.
Designed to prevent data corruption
Compatible with all embedded/real-time operating systems
High Availability for embedded systems that require 5 9s availability
An ultra small footprint gives manufactures a competitive edge.
Designed to prevent data corruption
Compatible with all embedded/real-time operating systems
High Availability for embedded systems that require 5 9s availability
An ultra small footprint gives manufactures a competitive edge.
IoT Big Data
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.
Ultra-fast, elastically scalable data management.
eXtremeDB delivers the benefits of distributed database management via distributed query processing, clustering and high availability options.
eXtremeDB Pipelines a library of more than 150 functions for record setting speed when performing statistical analysis on time series data
Created to be a flexible tool for the professional developer
Fast, flexible eXtremeDB offers more features than any other database management system on the market.
High Availability
Designed to power systems that cannot afford to fail, eXtremeDB-HA delivers the highest degree of availability, along with its unsurpassed performance and exceptionally small footprint.
Native and SQL APIs for C/C++, Java, C#, Python
eXtremeDB provides the developer with multiple application programming interfaces (APIs). Learn more
Multiple Database Indexes
B-Tree, R-Tree, Patricia Trie, KD-Tree, Trigram and Hash indexes. Learn more
A Wide Range of Supported Data Types
eXtremeDB supports structures, arrays, vectors and BLOBs for maximum efficiency. Learn more about this and other key features.
Hybrid data storage
Unlike other IMDS, eXtremeDB can combine the strengths of on-disk and in-memory database systems. In other words, eXtremeDB 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. System developers can make intelligent trade-offs between performance, cost-efficiency, power consumption, and physical space-conserving data storage hardware.
Related Resources
Webinars for Professional Developers
Watch to on-demand Webinars, hosted by experts, about proven database management system practices. Watch “Edge Node Database Systems, the Internet of Things’ Hidden Workhorses“. Or, “Embedded Databases: Make or Break Technology Choices for High Performance Applications” and others.
Watch Embedded Databases: Building In Always On High Availability
This Webinar highlights the issue of operational continuity: how can a database system survive the failure of the software or hardware environment in which it operates?
Watch Eliminating Database Corruption
Why corruption occurs and provides strategies to prevent it, focusing on hidden dangers – like storage device settings that can undermine data consistency – as well as more recognizable risks, such as passing wrongly typed data to a database run-time.
Review our list of Webinars
Articles for Professional Developers
- Change Data Capture in Embedded Databases Embedded Computing Design
- Industrial Internet of Things (IIoT) Database Usage in Rail Systems insight.tech
- The Importance of Distributed Databases for the Internet of Things Embedded Software Engineer – ESE Kongress edition, page translates
- Comparing Optimistic and Pessimistic Concurrency, Embedded Computing Design
See a list of articles
White Papers for Professional Developers
We have been testing, improving on, and retesting our software from the beginning in 2001 in order to provide our clients with the best possible data management solutions. Read “Database Persistence, Without The Performance Penalty” and more.
Review our research
White paper: Database Persistence, Without The Performance Penalty
Some applications require higher data durability than in-memory storage provides. What if DRAM could be made persistent? AgigA Tech’s AGIGARAM non-volatile DIMM (NVDIMM) delivers that capability. McObject benchmarked the eXtremeDB In-Memory Database System using AGIGARAM as storage, including “pulling the plug” mid-execution, and comparing the NVDIMM to transaction logging as a solution for data durability/recoverability. This paper presents the benchmark tests and results.
White paper: Will the Real IMDS Please Stand Up?
In-memory database systems (IMDSs) have changed the software landscape, enabling “smarter” real-time applications and sparking mergers and acquisitions involving the largest technology companies. But IMDSs’ popularity has sparked a flurry of products falsely claiming to be in-memory database systems. Understanding the distinction is critical to determining the performance, cost and ultimately the success or failure of a solution. This white paper examines specific products, seeking to answer the question, “is it really an in-memory database system?”