The telecommunications & IT vertical face challenges related to improving response time, traffic analysis, and studying product affinity to create a satisfied client base. In-memory analytics help overcome these challenges with self-service business analysis tools and discovery tools to monitor real-time data using advanced analytics. Data management needs to be improved to help avoid dissatisfaction among customers. For instance, customers using a postpaid connection would prefer to monitor their usage in real time and have a dashboard to view the same whenever needed. Data management has become difficult for the telecom industry due to the volume of data being generated in real time, rapidly changing business environment, and need to improve IT systems to support business in the marketplace. The use of in-memory analytics can cut the time needed to create and distribute reports and perform analysis. As a result, the employees who used to perform these tasks manually can add value by contributing their efforts in other key areas. The market growth of in-memory analytics in the telecommunications & IT vertical is expected to grow rapidly owing to the voluminous content generated on a daily basis in the telecommunication & IT organizations. The telecommunications sector has already begun the adoption of in-memory analytics to improve performance. For instance, Telecom Italia, an Italian telecommunications company, started using SAS Visual Analytics to add in-memory analytics and advanced data visualization to its geo-marketing system which helps simplify the operational processes for technical and commercial planning.

In-Memory Analytics Software in IT and Telecom Quadrant

Comparing 33 vendors in In-Memory Analytics Software across 211 criteria.

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

EVALUATION CRITERIA

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

TOP VENDORS

    • Enterprise
    • Downers Grove, Illinois, United States
    • Founded: 2003
    • 51 to 100
    • Startup
    • Wichita, Kansas, US
    • Founded: 2009
    • Below $10 MN
    • 51 to 100
  • #

    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
  • #

    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
  • #

    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
    • 1 to 50
  • #

    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

TOP REVIEWS

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