Compare Eccenca Corporate Memory vs Visualr vs MapR

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Crozscore:

56%
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26%
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Crozscore:

62%
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30%
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Crozscore:

85%
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80%
51%
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Software Description:

eccenca Corporate Memory connects old or current data with new technologies. We bridge the gap between yesterday’s legacy systems, and today’s aggregated data lake. eccenca Corporate Memory manages huge quantities of data with dozens of data sources. It is based on an advanced data discovery model, combining the capabilities of semantic technology and big data scalability with structured data connectivity. This approach enables eccenca to substantially improve access to information.

Our solution is most powerful by combining visual knowledge graphs with large data lakes. Corporate Memory extends existing document-based corporate intranets, often containing disparate or silo databases, to include all relevant sources of data. It creates a single and comprehensive repository of the company’s key operational data and metrics.

  • We provide means to lift your data into a virtual representation in a domain ontology featuring automatic data profiling and active machine learning.
  • We allow to define data linking, transformation, and integration as well as dataset preparation workflows based on the domain ontologies in use.
  • Corporate Memory perfectly integrates with Hadoop and leverages datasets in your data lake.

eccenca Corporate Memory combines knowledge graphs and big data lakes by realizing:

  • Flexible metadata and schema layer
  • Data virtualization and analytics
  • Data integration and indexing
  • KPI transparency and big data scalability

Software Description:

The product helps in exploring business insights by converting data into information. With the help of Visular, you can connect with your MS Excel, My SQL, MS SQL, Oracle or even Flat File databases instantaneously.

Visualr comes in four different versions- Lite, Desktop, Server and Cloud.

Software Description:

MapR offers one of industry’s leading unified data platforms that is capable of performing analytics and applications with speed, scale, and reliability. Companies that use this solution are able to to do analytics and applications simultaneously as data happens.

MapR provides access to a diversity of data sources including Apache Hadoop, Apache Spark, a distributed file system, a multi-model database management system, and event stream processing. The platform features high performance, simple deployment and TCO through its converged platform. Its NFS function allows users to copy to an NFS share that is distributed across the entire cluster.

Besides MapR Converged Data Platform, MapR offers following modules: MapR-XD, highly-scalable storage module; MapR Analytics and ML engines, for real-time analytics; MapR-DB, which is a high-performance NoSQL database; MapR-ES, the event streaming system for big data; The MapR Control System, for administering the MapR Converged Data Platform; MapR-Edge, for capturing, processing, and analyzing IoT data.

Features:

  • Multi-User
  • Analytics
  • External Integrations
  • Data Visualization
  • API
  • Data Import

Features:

  • Analytics
  • Dashboard
  • Data Visualization

Features:

  • Dashboard
  • Analytics
  • Scheduling
  • External Integrations
  • Notifications
  • Data Visualization
  • Data Import
  • Data Export
  • 2-Factor Authentication
  • API

Summary:

    No key features associated with this application.

Summary:

    No key features associated with this application.

Summary:

  • Apache Hadoop

  • MapR-DB

  • Scalability

  • Standards-Based APIs and Tools

  • Manageability

  • Direct Access NFS™

  • Integrated Security

  • Multi-Tenancy

  • Consistent Snapshots

  • High Availability

FAQs:

    No FAQs associated with this application.

FAQs:

    No FAQs associated with this application.

FAQs:

    What are some applications this service is commonly used in tandem with?
  • It is commonly used in tandem with various databases.

  • Who are the main user groups of this service?
  • Users of MapR are SMEs and large enterprises in Telecommunications, Healthcare, Financial Services, Retail, Media and Entertainment, Manufacturing, Oil and Gas, and Public Sector.

  • What platforms does this service support?
  • Users of MapR can choose the hardware, hypervisor, container and cloud platform that best suits their business. They will be able to move exabytes of data across edge, on-premises, and cloud deployments, as well as to automate data transfer across storage tiers, including SSD, HDD, and cloud.

  • Does this service offer an API?
  • Yes.

  • Does this service offer multi-user capability (e.g. teams)?
  • No.

  • What is this service generally used for?
  • This service is generally used for big data management.

  • Does this service offer guides, tutorials and or customer support?
  • Support: Community, On-Demand Training Options, FAQs, Knowledge Base, 24x7 Phone Support, Urgent Bug Fixes.

Publisher:

Founded:
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Based in:
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Employees:
-
Likes:
Followers:
890

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
Followers:

Publisher:

Founded:
-
Based in:
Santa Clara
Employees:
501-1000
Likes:
Followers:

Other:

Who uses Eccenca Corporate Memory
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Who uses Visualr
  • SMEs
  • Agencies
  • Enterprises
Desktop Platforms:
  • Windows
  • Macintosh
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Who uses MapR
  • SMEs
  • Enterprises
Desktop Platforms:
  • Windows
  • Macintosh
Languages:
English
Regional Restrictions:
No restrictions.
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