A hybrid transaction/analytical processing (HTAP) architecture is best enabled by in-memory computing (IMC) techniques and technologies to enable analytical processing on the same (in memory) data store that is used to perform transaction processing.
Drivers & Restraints
By removing the latency associated with moving data from operational databases to data warehouses and data marts for analytical processing, this architecture enables real-time analytics and situation awareness on live transaction data as opposed to after-the-fact analysis on stale data. IMC technologies support a single, low-latency-access, in-memory data store capable of processing high volumes of transactions. Increasing use of this technology for various applications globally has boosted the market at a rapid rate.
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Single Node Based
Distributed Systems Based
Hybrid Memory Structure Based
The market has been segment into North America, South America, Europe, Asia-Pacific, and Middle East and Africa. Asia pacific and Middle East with increased digitalization and internet penetration has become of the major market for HTAP-Enabling In-Memory Computing Technologies in the recent years.
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