The energy & utilities vertical is characterized by huge capital investments, stringent regulations, and technical expertise as well as complex relationships with industry peers, governments, and investors. Moreover, the data volume has increased significantly over the years in this vertical with increased prevalence of IoT. A huge database is prepared with data collected from worldwide locations, suppliers, and plants. The energy industry has been using analytics to determine where to drill for reserves that are way below the earth’s surface. Applying automation and analytics to achieve operational efficiency is necessary to achieve fast growth in this sector. Certain operational reports that took 10–12 hours to run in the past can now be done in 15–30 minutes using In-memory analytics. The technology that allows utilities to use customer data also lets companies monitor grids for outages in real time using smart meters and sensors positioned around the network. Utilities using in-memory applications not only use the data the system provides, but also provide it to the customers and retain the same for future analysis.

In-Memory Analytics Software in Energy and Utilities

Comparing 33 vendors in In-Memory Analytics Software across 129 criteria.
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IBM positions in-memory computing technologies as one of the key components of its business intelligence platform. IBM, in in-memory analytics scope, offers IBM Cognos Express, which includes embedded in-memory analytics server for rapid integration of operational data sources through consolidated database for business data which also includes plans, budgets, and projections. Within its capacity, IBM Cognos Express also provides instant insights and update the data across all the heterogeneous data sources based on any changes occurring. It includes powerful in-memory analytics server with security capabilities for fast, comprehensive, and secure business intelligence and process planning.
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Oracle Exalytics In-Memory Machine assists users in achieving comprehensive in-memory analytics performance for business intelligence and enterprise performance management applications. The optimized system utilizes best-in-class hardware, BI Software, and in-memory database technology to provide quick analysis with a higher level of intelligence, simplicity, and manageability. Oracle Database In- Memory adds in-memory database functionality to the existing databases without any modifications or changes in programming of applications. It can be deployed with applications compatible with Oracle Databases 12c. It enhances data warehouses, data analysis, and mixed workload OLTP databases. Oracle Exalytics In-Memory Machine hardware is an optimally configured server architected to enable in-memory analytics for business intelligence workloads and includes powerful compute capacity, abundant memory, fast storage, and fast networking options, and supports direct attached storage options.
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2.9
Amazon offers Amazon QuickSight, which is considered as the only visualized front-end cloud BI dashboard solution that also has the capabilities of API and a data engine. Amazon QuickSight is a part of Amazon’s growing cloud big data analytics portfolio. QuickSight lets business users analyze data residing in various AWS repository, including RedShift data warehouse, Elastic MapReduce, and Amazon relational database services. AWS In-Memory Engine Spice assist users to transform data into accurate insights through its analytical capabilities.
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ClearStory Data is one of the top-notch business intelligence solutions based on Cloud. The scalable software helps the departments, organizations, and businesses in discovering various business insights and also collaborate with them. The software is used in multiple industries like financial services, media & entertainment, retail, manufacturing, food and beverage, life sciences, healthcare, and many more. The software is an effective platform for analyzing the marketing data, customers, sales performance, and even operational efficiency.
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2.7
The company offers in-memory analytics solution on-premises or cloud deployment models via AWS, Microsoft Azure, or EXAcloud, depending on the client’s preference. The company released version 6 of its database with support for visual schemas. With an open and transparent integration framework, organizations can now analyze data faster, irrespective of the data source, environment, or analytical programming language being used. The company also provides a free business edition to get to know about the product implementation before purchasing it. EXASOL is a high-performance, in-memory, MPP (massively parallel processing) database specifically designed for in-memory analytics. It helps organizations analyze large volumes of data in real-time, and accelerate BI and reporting, to turn data into value.
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Advizor is a company that offers business solutions and services. The primary objective of the company is to make businesses simpler and more manageable. To do so, the company’s services are impressively IT-friendly. Additionally, the services and solutions function with lightning speeds thanks to the embedded predictive analytics and creative, easy to read visual reports on analytics. With in-memory support, the services and answers can be implemented on the premises or cloud systems.
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Aerospike is the trending solution to hyper-scale data. The software is designed for serving various enterprises with overall solutions regarding Windows. The software provides with access to multiple systems like support to various languages for programming, data replication, and access control, all under one roof. With various facets like security, clustering server-side, elasticity, continuous updates and much more, the product gives a different combination to the users, which is different from other similar software.
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