The ongoing transformations in the retail & ecommerce vertical have created the need for efficient data management among retail companies. The retail and ecommerce organizations need to manage the information on products across multiple departments, different portfolios, and varied prices. They also have to maintain large quantities of data entries made manually or through an automated procedure on a regular basis. In every retail organization, there is a wealth of information about supply chain, customers, internal operations, sales, and finances which when analyzed, can provide critical decision-making capabilities to drive operational efficiencies across the organization. In-memory analytics provide self-service, by which the retailers, who are not technically sound, can make use of visualization tools to monitor the outcomes of the analytics being carried out. Retailers need to analyze live data to order to improve efficiency. For instance, retailers have to segment products based on their demand, monitor their quantity in the warehouse, and inform the manufacturing unit or dealers in case of shortage. In-memory analytics help organizations reduce duplication and errors in data, purchase order discrepancies, and boost their time-to-market strategies. The ecommerce sector uses digital carts which have to process data in real time to avoid unnecessary wait time. The use of in-memory analytics can lead to faster response times, which is a driving force for the adoption of in-memory analytics in the retail & ecommerce vertical.

In-Memory Analytics Software

  • 1

    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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    • Enterprise
    • New York, USA
    • Founded: 1911
    • $50BN to $100BN
    • 1,00,001 to 5,00,000
  • 2

    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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    • Enterprise
    • California, USA
    • Founded: 1977
    • $10BN to $50BN
    • 1,00,001 to 5,00,000
  • 3

    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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    • Enterprise
    • Washington, USA
    • Founded: 1994
    • More than $100 BN
    • 5,00,001 & more
  • 4

    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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    • Enterprise
    • 501 to 1,000
  • 5

    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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    • Enterprise
    • Nurnberg, Bayern, Germany
    • Founded: 2000
    • 101 to 500
    • Enterprise
    • Downers Grove, Illinois, United States
    • Founded: 2003
    • 51 to 100
  • 7

    Pentaho entered the in-memory analytics market with its product Pentaho Business Analytics which provides improvements to data analysis performance, scalability, and reliability with support for cloud-scale distributed in-memory caching systems, new performance tuning aids, and analysis of more big data sources. The product has started to gain recognition because of its enhanced features such as in-memory analytics, in-memory aggregation, and adding new analytics data sources. Pentaho also provides data discovery and visualization with Pentaho Business Analytics to allow organizations simplify data processing by incorporating self-service into it. The interactive visual analysis being provided by Pentaho has extreme scale in-memory data caching which allows speedy analysis of large data sets and generate comprehensive solutions for reporting.

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    • Startup
    • Orlando, Florida, US
    • Founded: 2004
    • $11MN to $50MN
    • 51 to 100
  • 8

    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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    • Startup
    • Wichita, Kansas, US
    • Founded: 2009
    • Below $10 MN
    • 51 to 100

In-Memory Analytics Software in Retail and eCommerce Quadrant

Comparing 33 vendors in In-Memory Analytics Software across 129 criteria.

Find the best In-Memory Analytics Software solution for your business, using ratings and reviews from buyers, analysts, vendors and industry experts


Below criteria are most commonly used for comparing In-Memory Analytics Software tools.
  • Breadth and Depth of Product Offerings
    • Product Offerings
    • Licenses
    • Software Applications Catered
      • Risk management & Fraud Detection
      • Sales & Marketing optimization
      • Supply chain optimization
      • Financial management
      • Predictive asset management
      • Customer experience management
      • Product and process management
      • Others (Network management. Workforce management)
    • Services
      • Managed services
      • Support and maintainance
      • Consulting
      • Other Services
  • Product Features and Functionality
    • Product Integration
      • Hadoop
      • Apache Spark
      • AWS
      • Specify Others
    • Features Offered
      • Data Visualization
      • Robust Reporting
      • Mobile BI
      • Data Preparation
      • Real-time Analytics
      • Data Governance
      • Data Discovery
      • Other Features
  • Delivery
    • End Users
      • Full Time Equivalent
      • Subscription / Licensing
      • Per User / Device Basis
      • BFSI
      • Retail & Ecommerce
      • Government & Defense
      • Healthcare & Lifesience
      • Manufacturing
      • Telecommunication and IT
      • Energy & Utilities
      • Media & Entertainment
      • Transportation and Logistics
      • Other End Users
    • Channel of Delivery
      • Directly
      • Through Partners / Third-Party Vendors
  • Deployment
    • Deployment Model
      • On-Premise
      • Enterprise
      • Cloud
  • Support and Services
    • Pre Sales Support
      • Software Requirement Specification (SRS)
      • Product Demos
      • Proof of Concept
      • Dedicated Account Manager (DAM)
    • Channel for Delivery of Support Services
      • On-Site Support
      • Remote Support
    • Add-on Features
      • Blog
      • Whitepapers


Looking for In-Memory Analytics Software? Get help
Project Manager,Company Name Classified
Project Manager, Company Name Classified
#12 in In-Memory Analytics Software

“Hybrid Transactional and Analytical Processing"

The in-memory analytics software renders hybrid transactional and analytical processing which has made our decisions more accurate. Looking for more good updates.
Global Head - Service and Product Development,Company Name Classified
Global Head - Service and Product Development, Company Name Classified
#12 in In-Memory Analytics Software

“Take Decisions very quickly"

The processing speed of this tool is very, very fast, and it helps our company to have quick decisions. The multi-dimensional data storing feature adds more speed to the decision making the process quick and easy.

Marie Stelle

Engagement Partner -