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Top 7 in-memory analytics companies making complex business situations smooth
Top 7 in-memory analytics companies making complex business situations smooth
In-Memory Analytics is a Business Intelligence (BI) technique used to deal with complex and time-dependent business situations. Validating the data is made faster, more efficient, and more reliable.

In-Memory Analytics is a Business Intelligence (BI) technique used to deal with complex and time-dependent business situations. Validating the data is made faster, more efficient, and more reliable. In Business Intelligence distributions, data is stored on physical disks, so the data that the query of the application is stored there as well. In contrast to in-memory analytics, data is stored in the server’s random-access memory (RAM). By adopting 64-bit architectures–which can handle bigger files and more memory than 32-bit architectures–and on top of that reducing the chip’s cost, in-memory analytics can be achieved. Compared to conventional disk-based business intelligence, which has a long processing time in an extensive database system, in-memory analytics companies optimize the speed and recovery of the Business Intelligence (BI) system.

Data storage and scalability are two fundamental principles of In-Memory Computing.  A system’s or process’ capability to deal with increasingly large amounts of data. Two key technologies are required to achieve this: random-access memory (RAM) and parallelization.

Data analytics and Business Intelligence (BI) are about to undergo a major transformation thanks to in-memory processing. Businesses dealing with terabytes of data need to invest in technology that can handle large data sets quickly. Processes using RAM and flash memory are known as in-memory processing. It is an upcoming technology, which will eventually replace disk-based processing due to its ability to accommodate BI and data analytics. This allows for faster processing. When working with RAM or flash memory, bottlenecks are eliminated from disk-based processing.  As a result, business sectors can analyze large datasets in real-time, which provides better insights into their operations.

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Top 7 in-memory analytics companies helping businesses to grow faster

As per the research done for the Global In-Memory Analytics Companies Market Report the market size was valued at USD 2.87 Billion in 2021 and is projected to reach USD 20.63 Billion by 2030, growing at a CAGR of 24.49% from 2022 to 2030.

SAP SE
Business operations and customer relations are managed by SAP SE, a German multinational software corporation based in Walldorf, Baden-Württemberg, and founded in 1972 by Dietmar Hopp, Hasso Plattner, Klaus Tschira, Claus Wellenreuther and Hans-Werner Hector. It is one of the most renowned in-memory analytics companies. ERP, or enterprise resource planning, software from SAP enables businesses to create a centralized system for sharing and collaborating data so that employees in the company can work more efficiently.

Oracle
Oracle, headquartered in the United States, is an American multinational technology company. Based on revenue and market capitalization, Oracle is the third-largest software company globally in 2020. Through enterprise grid computing, large pools of industry-standard, modular storage and servers are created.  The company laid its foundation in 1977. Larry Ellison, Bob Miner and Ed Oates are the founders.

SAS Institute
SAS Institute is an American multinational company with headquarters in Cary, North Carolina, that develops analytics software. SAS develops and markets software that helps users access, manage, analyze, and report on data so they can make better decisions. It is better known as one of the leading in-memory analytics companies. The company was founded in 1976 by James Goodnight, John Sall, and Anthony James Barr.

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ActiveViam
With more than a decade of experience in data analytics, ActiveViam provides leading companies with cutting-edge solutions. Atoti+, ActivePivot, and ActiveViam are all products of ActiveViam. The company’s mission is to provide powerful data analytics to every individual, every team, and every business that needs it. The software tools offered by the company allow users to directly and significantly impact their businesses. Allen Whipple, Kathy Perrotte, Xavier Bellouard, and others are its founders.

Kognitio
Kognitio is an in-memory analytical software platform for large and complex data analyses using BI, OLAP, and analytics. The company laid its foundation in 1991 and its headquarters are located in the United Kingdom. It is among the best in-memory analytics companies n the world.

Hitachi
Japanese multinational conglomerate Hitachi, Ltd is headquartered in Tokyo. Hitachi is the parent company of the Hitachi Group, which was earlier part of the Nissan Zaibatsu Group, DKB Group and Fuyo Group before they merged into the Mizuho Financial Group. The company was founded in 1910 by Namihei Odaira. Hitachi Astemo, Hitachi Energy, and others are its subsidiaries.

IBM
The company provides a range of services, such as hosting and consulting, in fields ranging from mainframe computers to nanotechnology.  With a large share of the market in both the United States and abroad, IBM, like a full name, is the largest American computer manufacturer. It was founded in 1911 by Charles Ranlett Flint. Red Hat Software, SoftLayer, Aspera and others are its subsidiaries.

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