The transportation & logistics vertical has undergone many changes and has become more complex in recent times because of the various stakeholders being involved, for instance, drivers, logistics operators, and supply chain operators. This is because of globalization, liberalization, and policy requirements which the transportation & logistics vertical must follow to expand the market position by optimizing service, increasing customer satisfaction, and maintaining cost-effectiveness. To achieve this, operators require accurate information from various data systems to make rapid and sound business decisions. Transparency and reporting requirements such as requests at short notice, extraction of KPIs, and monitoring are made simple with the use of in-memory analytics. In-memory analytics help reduce the computation time which amounts to be ten times slower with the traditional analytics software. For instance, transportation operators have to keep track of updated route information and analyze historical data to create more efficient routes to reduce transportation time. In-memory analytics, with the help of 64-bit architecture, help analyze vast amounts of data in real time and reduce analysis computation time.

In-Memory Analytics Software in Transportation and Logistics 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


  • 1

    SAP SE is providing solutions to help companies accelerate business processes with their in-memory computing platform known as SAP HANA. SAP HANA is a diversified product which combines Online Analytical Processing (OLAP) and Online Transactional Processing (OLTP) processing into a single database, which improves performance by eliminating bottlenecks. The database offers analytics capabilities along with high-speed transactions to help process real-time data. SAP HANA is a complete package which provides BI features and allows to create complex business logic using graphical modeling tools and decision tables with the help of the pre-built business function libraries. SAP HANA allows organizations to embed logic into stored procedures and run it inside the memory to reduce computation time.

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    • Enterprise
    • Weinheim, Germany
    • Founded: 1972
    • $10BN to $50BN
    • 75,001 to 1,00,000
  • 2

    SAS’s in-memory analytics solutions comprise SAS event stream processing, SAS high performance text mining, SAS high performance data mining, SAS in-memory statistics, SAS high-performance econometrics, SAS visual analytics, SAS visual analytics, SAS high performance optimization, and SAS high performance statistics. Organizations can choose on-site, cloud/SAAS, or enterprise hosting to deploy in-memory analytics. SAS is already catering to a rich clientele base and provides features such as multiple user accessibility, improved model development time, and predictive capabilities.

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    • Enterprise
    • North Carolina, USA
    • Founded: 1976
    • $1BN to $5BN
    • 10,001 to 15,000
  • 3

    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
  • 4

    MicroStrategy provides significant features to support its state-of-the-art in-memory analytics, which includes improved memory usage for data refresh for partitioned intelligent cubes, improved flexible partitioning for multi-table cubes, and improved in-memory cube troubleshooting. In-memory datasets can be created using MicroStrategy OLAP Services and MicroStrategy’s Parallel Relational In-Memory Engine (PRIME). OLAP Services is an extension of MicroStrategy Intelligence Server and uses Intelligent Cube Technology, an in-memory version of report data that can be manipulated by the MicroStrategy Analytical Engine. The OLAP services are a combination of Multidimensional Online Analytical Processing (MOLAP) and Relational Online Analytical Processing (ROLAP), which allow organizations to analyze reports obtained directly from the in-memory intelligent cubes, instead of from the data warehouse and manipulate them in real time.

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    • Enterprise
  • 5

    Qlik Technologies, Inc, offers QlikView, an in-memory business intelligence platform. QlikView is a business discovery platform that provides self-service BI for all business users in organizations. With QlikView, users can analyze data and use data discoveries to support decision-making. QlikView utilizes next generation patented in-memory association technology to make sophisticated analysis and reporting dramatically easier to deploy, use, and maintain. QlikView is a simple to deploy analysis platform and takes advantage of 64-bit multi-core hardware platforms to allow thousands of users access billions of records of data. The QlikView in-memory data model allows the users to have an integrated view of information through dashboards, ad-hoc analysis, real-time analysis, data visualization, and reports within a single platform.

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    • Enterprise
    • Pennsylvania, USA
    • Founded: 1993
    • $1BN to $5BN
    • 1,001 to 5,000
  • 6

    Software AG offers Presto In-Memory Analytics as one of its major offerings in in-memory technology. Presto offers operational dashboards with in-memory analytics that lets companies combine live data from any source to get quick insights Presto in-memory analytics solutions require no data to be copied and stored as it keeps data more secure on its business intelligence platform. Presto relies on Software AG’s Terracotta solution to offer an in-memory analytics language, RAQL, for analyzing data, both big and small. RAQL is an extensible language that lets users extend core functionality to create customized functions.

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    • Enterprise
    • Hessen, Germany
    • Founded: 1969
    • 1,001 to 5,000
  • 7

    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
    • Enterprise
    • 501 to 1,000
    • Enterprise
    • California, USA
    • Founded: 1997
    • $5BN to $10BN
    • 5,001 to 10,000
    • Enterprise
    • 501 to 1,000
    • Enterprise
    • 51 to 100
  • 12

    The WebFocus BI and Analytics is one of the most complete, flexible, and comprehensive business intelligence and business analytics platform. Within its single enterprise platform, WebFocus is incorporated with many capabilities such as in-memory analytics, data discovery, predictive analytics, reporting, dashboards, and in-document analytics. WebFocus Hyperstage, the latest addition to WebFocus platform, provides an embedded column-oriented database, which improves query performance, provides unmatched data compression, and supports in-memory analytical capabilities. Hyperstage, a query-optimized data source installed in WebFocus environment uses intelligent analytics to accelerate the speed and efficiency of current applications, particularly those that handle high numbers of ad-hoc or unplanned queries, or those that consume large volumes of data.

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    • SME
    • New York, USA
    • Founded: 1975
    • $101MN to $500MN
    • 1,001 to 5,000
    • Enterprise
    • Downers Grove, Illinois, United States
    • Founded: 2003
    • 51 to 100
  • 14

    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


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