Active Replication Fabric Offers Reliable IoT Database Management
Small footprint eXtremeDB offers reliability solutions for IoT developers.
eXtremeDB Active Replication Fabric™ can solve IoT connectivity issues for IoT system developers.
Active Replication Fabric offers reliable data management for IoT by solving 5 challenges for developers:
Bidirectional Replication
Intermittent connections
Multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud)
Security
Compression to maximize limited bandwidth networks
Edge nodes‘ physical connectivity can be intermittent, and constrained. Some popular protocols have limited bandwidth (ZigBee, NFC and RFID, LPWAN, Bluetooth Low Energy, etc.). Edge device connectivity can be intermittent because of the physical device location (e.g. a mobile device) or because the device is battery operated and connects at certain predefined times. From the standpoint of data management, the unpredictable connectivity means that fully integrated support for “push” and “pull” protocols is important to preserve data collected at the edge.
We use the term “storage containers” for databases maintained on edge devices that are mapped to an upstream database.
The eXtremeDB Active Replication Fabric APIs allow device-based applications to collect data, then transmit the collected data when connected. Likewise, they also allow replicating server-side data to IoT devices; a common task for new device configuration and provisioning. Data flow is fully automated through the Active Replication Fabric allowing developers to mitigate or even solve IoT connectivity issues. The APIs provide automatic or on-demand data exchange between collection points and servers.
Security Features
Billions of IoT devices’ and their storage containers are exposed and inherently vulnerable. Unlike servers, IoT edge devices run in the open and don’t enjoy IT staff attendance, sophisticated firewalls and other security apparatus available at the back-end.
Cyclic Redundancy Check (CRC) on the database page level detects any unauthorized modification to stored data
AES encryption employs a user-provided cipher to prevent access or tampering
Multi-tier Network Topology and Network Discovery
eXtremeDB’s Active Replication Fabric supports complex IoT network topology; edge devices connect to gateways, gateways connect to other gateways closer to the cloud, which ultimately connect to servers in the cloud which may themselves consist of many shards/nodes. Further, any eXtremeDB instance in this topology might also be a member of a high availability group or an eXtremeDB Cluster. eXtremeDB’s xPanel dashboard includes a visual network discovery tool that greatly simplifies managing, monitoring and leveraging eXtremeDB’s tracing capability.
Learn how eXtremeDB Active Replication Fabric treats distributed database topologies in our online documentation.
Review our different distributed database options and objectives
Learn what makes eXtremeDB a flexible database for embedded and client/server
Learn how eXtremeDB Active Replication Fabric treats distributed database topologies in our online documentation.
Review our different distributed database options and objectives
Learn what makes eXtremeDB a flexible database for embedded and client/server
Data Compression
Run-length encoding (RLE) compression can be applied to columnar data (i.e. fields defined as the ‘sequence’ data type). McObject tests show that activating this feature reduced storage space requirements by 75% and improved the speed of reading the database by 21%. eXtremeDB also includes a feature for compressing non-columnar data.
eXtremeDB also offers low-level network compression. IoT networks often use low-bandwidth networks which requires network traffic to be compressed. eXtremeDB implements compression at its System Abstraction Layer (SAL), meaning that compression can be applied to any supported socket type (plain TCP, SSL, local-domain, UDP and others).
Learn how eXtremeDB allows for both columnar and row storage in a single database instance
Learn more about the eXtremeDB tiny footprint database
Review a list of DBMS features to look for if speed matters to your next project
Learn what makes eXtremeDB a flexible database for embedded and client/server
Active Replication fabric means reliable database management for IoT and support on all platforms from edge to cloud
Learn more about the eXtremeDB IoT Software Development Toolkit. The eXtremeDB IoT SDK runs on the device, gateway and server, a bundled setup that eliminates the need to learn different DBMS and leverages staff skills.
eXtremeDB for the IoT Edge
- The flexibility of an in-memory or hybrid persistent database
- Compatible with all embedded/real-time operating systems
- Specialized indexing for Geospatial, IP/Telephony & Fuzzy search
- High Availability for embedded systems that require 5 9s availability
eXtremeDB for IoT Big Data & Analytics
- A library of more than 150 functions for performing statistical analysis on time series data
- CPU cache-optimized analytics
- Sharding for elastic scalability
- Combine row-based and column-based layouts, in order to best leverage the CPU cache speed
eXtremeDB for IoT Big Data & Analytics
- A library of more than 150 functions for performing statistical analysis on time series data
- CPU cache-optimized analytics
- Sharding for elastic scalability
- Combine row-based and column-based layouts, in order to best leverage the CPU cache speed
eXtremeDB IoT Software Development Toolkit
- A bundled setup that eliminates the need to learn different DBMS and leverages staff skills.
- A wide range of supported data types
- Native and SQL APIs for C/C++, Java, Python. C# can be used with the ODBC .NET Managed Provider.
- Numerous features built-in to prevent data corruption and maximize reliability
Related Resources
Webinars for Professional Developers
Watch to on-demand Webinars, hosted by experts, about proven database management system practices. Watch “Eliminating Database Corruption“. Or, “Embedded Databases: Make or Break Technology Choices for High Performance Applications” and others.
Watch Scaling IoT Applications – Panel Discussion Part I.
The IoT panel discusses scaling by sensors, performance, users, and geography.
Watch Scaling IoT Applications – Panel Discussion Part II.
The IoT panel reviews the tools, architectures and key components used to move the application from prototype to successful deployment.
Watch Edge Node Database Systems, the Internet of Things’ Hidden Workhorses. Topics covered include DBMS architectures, NoSQL, data complexity, and more.
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
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: 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.
White paper: Will the Real IMDS Please Stand Up?
In-memory database systems (IMDSs) have changed the software landscape, enabling “smarter” embedded 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?”
Best Development Tool & Operating System at IoT World 2019
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IoT Vendor of the Year
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Outstanding Structured Database
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Best Big Data Analytics & Technology Provider
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eXtremeDB Shatters Speed Records (again)
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Data management wherever you need it.
Hybrid Data Storage Unlike other IMDS, eXtremeDB databases can easily be all-in-memory, all-persistent, or have a mix of in-memory tables and persistent tables.
Row & Columnar Flexibility for Time Series Data eXtremeDB supports database designs that combine row-based and column-based layouts, in order to best leverage the CPU cache speed.
A Hard Real-time Option eXtremeDB/rt is the first and only deterministic embedded DBMS for mission- and safety-critical real-time applications.
Embedded and Client/Server Fast, flexible eXtremeDB is data management wherever you need it, and can be deployed as an embedded database system, and/or as a client/server database system.
Platform Independent eXtremeDB is designed and implemented to be a highly portable.