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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.
Learn why starting with in-memory database system allows for improved performance.
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), compression to maximize limited bandwidth networks, and more.
Time series data management systems require large volumes of information to be available continuously. eXtremeDB excels in this capability. eXtremeDB for HPC implements columnar data layout for fields of type ‘sequence’. Sequences can be combined to form a time series, ideal for working with tick streams, telemetry, and other sequential data. This technology supports database designs that combine row-based and column-based layouts, in order to best leverage the CPU cache speed. Learn how.
Learn more about eXtremeDB for time series data
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.
Compatible with all embedded/real-time operating systems
Read about cross-platform database application development in our on-line documentation
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When you hatch a database management system, it will, by design and implementation, be either an in-memory database system or an on-disk database management system. The choice affects the fundamental optimization strategies that will be baked into the database system code. To optimize an on-disk database is to minimize disk I/O, so its design will use extra CPU cycles and extra memory if doing so will reduce or eliminate I/O. Conversely, IMDSs by definition eliminate all disk I/O; their optimization is all about delivering the highest performance at a given level of processing power, thus reducing demand for CPU cycles is a key objective. And since memory is storage for an IMDS, reducing memory overhead (i.e. RAM consumed for anything other than storing data) is also a key objective.
eXtremeDB enables the developer to combine in-memory and on-disk paradigms in a single database system. Specifying that data will be stored in memory (transient), or on disk (persistent), requires a simple database schema declaration. The resulting system retains in-memory strengths (speed, footprint, etc.), yet leverages the potential cost savings and durability of an on-disk database.
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Review the answers to common in-memory database questions
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At Omicsoft, we focus on biomarker data management, visualization, and analysis. To achieve this, we need to design software that is easy to use for the bench scientists, but powerful enough to be used by the bioinformatician or statistician. Our products are designed with the influence of all three groups, and thus are fast, powerful, and easy to use.
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