IoT Software Development Toolkit
With Active Replication Fabric™ for end-to-end data management.
Why use eXtremeDB IoT SDK?
Learn more about the unique IoT software development toolkit (SDK) that eliminates data loss due to connectivity issues, and offers support on all platforms from edge to cloud.
Active Replication Fabric™
Active Replication Fabric stages data during network malfunctions or outages, then sends all the relevant historical data to the network as soon as the connection is reestablished. Data flow is fully automated, and APIs provide automatic or on-demand data exchange between collection points and servers.
- Bidirectional Replication
- Intermittent connections
- Multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud)
- Security
- Compression to maximize limited bandwidth networks
eXtremeDB’s xPanel dashboard includes a visual network discovery tool that greatly simplifies managing, monitoring and leveraging eXtremeDB’s tracing capability.
Watch this 3 minute video to learn more about eXtremeDB with Active Replication Fabric™ and what makes it reliable data management for IoT systems.
Support on All Platforms
The eXtremeDB IoT SDK runs on the device, gateway and server, a bundled setup that eliminates the need to learn different database management systems and leverages staff skills. Learn more.
Devices communicate with servers flawlessly
The IoT SDK eliminates the need for piecing together systems. eXtremeDB also offers multiple APIs and other tools to cut development time.
How difficult is it to port eXtremeDB to different operating systems?
eXtremeDB is designed and implemented to be highly portable. Currently, eXtremeDB runs on Win32 and Win64 platforms, Linux, many Unix platforms, and various embedded operating systems including VxWorks, INTEGRITY, ThreadX, eCos, FreeRTOS and QNX, and target CPUs including x86, PowerPC, ARM, MIPS, and others. The list of supported platforms is constantly expanding. See our list of free trial software.
Read the white paper, Portability Techniques for Embedded Systems Data Management.
eXtremeDB runs predictably on dozens of hardware architectures and operating systems. Learn how in our online documentation.
Review eXtremeDB technical specifications
eXtremeDB named Outstanding Structured Database in the Big Data Excellence Awards
Read the press release
McObject Wins 2018 IoT Vendor of the Year Award
Read the press release
What makes eXtremeDB different? The extensive combination of features tailor-made for the IoT.
Flexible In-Memory & Persistent Architecture
eXtremeDB combines the strengths of the on-disk and all-in-memory approaches to data management in a single database system. eXtremeDB was originally designed and optimized as an in-memory database system, giving developers using the IoT SDK a fast, flexible advantage.
Learn why this distinction means more efficient data management.
Native and SQL APIs for C/C++, Java, C#, Python
eXtremeDB provides the developer with multiple application programming interfaces (APIs). Learn more about these and other features.
ACID Transactions
Safeguard data integrity by guaranteeing that updates will complete together or the database will roll back to the pre-transaction state.
A Wide Range of Supported Data Types
eXtremeDB supports structures, arrays, vectors, BLOBs and time series for maximum efficiency. Learn more about these and other key features.
Database Indexes
B-Tree, R-Tree, Patricia Trie, KD-Tree, Trigram and Hash indexes. Learn more
Designed to Prevent Data Corruption
With the native C/C++ API, errors in data-typing are caught at compile time. Learn more
Security and Reliability
eXtremeDB IoT SDK protects your database with encryption, and CRC32 to detect tampering.
Optional IoT SDK modules include:
SQL
eXtremeDB IoT SDK is an ideal solution for application development in fields where real-time responsiveness is a must and SQL is the dominant database language.
High Availability
An active-passive real-time distributed database system for systems that demand “five-nines” reliability (99.999% up-time).
Cluster
An active-active distributed real-time database system that manages databases across multiple hardware nodes, enabling two or more servers to share the workload.
Download free trial or demo software
eXtremeDB’s versatility is proven in these markets and others.
Flexible enough for the IoT
eXtremeDB was the first in-memory embedded DBMS created specifically for real-time embedded systems. Our IoT SDK grew out of over 18 years experience of data managment on all platforms.
Learn more about eXtremeDB for the IoT Edge
Learn more about eXtremeDB for IoT Big Data
Reliable enough for Aerospace and Defense
Enabling you to create the highest possible code quality via C/C++ API’s type safety;
elimination of dynamic memory allocation; sophisticated debugging and error-handling.
Source code available
Reliable enough for Aerospace and Defense
Enabling you to create the highest possible code quality via C/C++ API’s type safety;
elimination of dynamic memory allocation; sophisticated debugging and error-handling.
Source code available.
Small enough for Consumer Electronics
eXtremeDB IoT SDK offers has a code size as little as 300K.
Hybrid storage to optimize for speed and persistence, while taking advantage of the most cost-effective and physical space-conserving data storage, critical in delivering a competitive user experience.
Helping Industrial Control work more efficiently
eXtremeDB is compatible with all embedded/real-time operating systems. It is designed to operate in the harsh environment of real-time systems, with strict requirements for resource utilization.
Try the Industrial IoT Demo Application
Helping Industrial Control work more efficiently
eXtremeDB is compatible with all embedded/real-time operating systems. It is designed to operate in the harsh environment of real-time systems, with strict requirements for resource utilization.
Try the Industrial IoT Demo Application
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.
All we do is database management systems.
Read our White Papers
In-depth research about features found in the eXtremeDB database system.
See our Data
Read the independently auduted benchmark test results.
Review our References
See what customers say about eXtremeDB.
Resources: IoT data management challenges and solutions
IoT Database Management Webinars
Scaling IoT Applications - Panel Discussion Part I
Join industry expert panelists, including McObject CEO Steve Graves, as they cover a range of topics from scaling dimensions and associated challenges such as field upgrades, to deployment management, and security issues as IoT deployments scale.
Scaling IoT Applications - Panel Discussion Part II
Join industry expert panelists, including McObject CEO Steve Graves, as they cover a range of topics from scaling dimensions and associated challenges such as field upgrades, to deployment management, and security issues as IoT deployments scale.
Edge Node Database Systems, the Internet of Things' Hidden Workhorses
Are you creating software for a smart, connected device – one of the many “things” that make up the Internet of Things? McObject’s Webinar, “Edge Node Database Systems, the Internet of Things’ Hidden Workhorses” presents edge node DBMS requirements and a look at the field of available solutions. Topics covered include DBMS architectures, NoSQL, data complexity, off-the-shelf vs. roll-your-own data management approaches, and more. Learn Active Replication fabric solves IoT data management challenges for developers.
IoT Database Management Articles
Notes on IoT Database Management - Part 1
April 30, 2019 Embedded Computing Design by McObject CTO Andrei Gorine. Part 1 addresses some ot the IoT challenges that IoT engineers and database management system vendors must address to create successful systems.
Notes on IoT Database Management - Part 2
May 7, 2019 Embedded Computing Design by McObject CTO Andrei Gorine. Part 2 addresses security issues and code quality.
What is a Distributed Database System?
August 30, 2018 IoT Agenda.TechTarget by McObject CEO Steve Graves. An in-depth article about three use cases integral to the deployment of scalable and reliable IoT systems. Read more.
The Internet of Things, Database Systems and Data Distribution, Part Two
November 16, 2017 TechTarget.com by McObject CEO Steve Graves. In Part Two, Steve explores data distribution considerations between edge devices, gateways and servers in the cloud.
The Internet of Insurance Things, August 2, 2017 PropertyCausualty360.com by McObject CEO Steve Graves. How will the IoT affect the insurance industry with all the tools it can provide? Read more.
Industrial Internet of Things (IIoT) Database Usage in Rail Systems, insight.tech – February 1, 2017 As rail systems generate more data, developers need to rethink where and how they process information. Legacy systems moved data to the control center for analysis, but modern systems often keep this functionality on the train. Read more.
On the Challenges and Opportunities of IoT. Interview with Steve Graves, ODBMS Industry Watch – July 6, 2016
The IoT Technology Piece No One Is Talking About, Embedded Computing Design Guest Blog by McObject CEO Steve Graves
Enabling the IoT for Pre-IoT Infrastructure, Embedded Computing Design Guest Blog by McObject CEO Steve Graves
IoT Database Management Whitepapers
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
Distributed Database Systems and Edge/Fog/Cloud Computing
A distributed database system is one in which the data belonging to a single logical database is distributed to two or more physical databases. Beyond that simple definition, there are a confusing number of possibilities for when, how, and why the data is distributed. Some are applicable to edge and/or fog computing, some others are applicable to fog and/or cloud computing, and some are applicable across the entire spectrum of edge, fog and cloud computing.
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?”
Portability Techniques for Embedded Systems Data Management
For real-time embedded systems, database code portability means more than the ability to compile and execute on different platforms: portability strategies also tie into performance. Software developed for a specific OS, hardware platform and compiler often performs poorly when moved to a new environment, and optimizations to remedy this are very time-consuming. Truly portable embedded systems data management code carries its optimization with it, requiring the absolute minimum adaptation to deliver the best performance in new environments.
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eXtremeDB was built to meet – or exceed – the needs of professional developers.
