Compare DataStock vs MapR vs KeyLines

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80%
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Crozscore:

84%
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80%
52%
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73%
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Software Description:

Datastock can be used to acquire big data sets that can prove to be of great use while you are doing a market research, business intelligence and has many other use cases in the business arena.

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.

Software Description:

KeyLines is an interactive app development solution for network visualization that operates on all major platforms. Its concept is based on intelligent code rendering and event handling - the process known as graph visualization or link analysis.

Keylines' SDK enables developers to customize every phase and every function of application they develop, such as visual features, the user interface, user interaction and more. The platform is completely web-based, running on all major browsers, across devices, as a standalone tool with its own systems and dashboards.

Developers are free to customize every element, selecting and deploying all the functionality they need. They are given automatic layouts, which can be standard, hierarchical, or structural, so it is much easier to detangle hidden data and structures.The platform also offers node combining & grouping, network filtering, social network analysis, and geospatial networks.

Features:

  • Analytics
  • Data Mining
  • Data Export

Features:

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

Features:

  • API
  • External Integrations

Summary:

  • Comprehensive data sets from all around the web

  • Easy download of data

  • Structured and clean data files

Summary:

  • Apache Hadoop

  • MapR-DB

  • Scalability

  • Standards-Based APIs and Tools

  • Manageability

  • Direct Access NFS™

  • Integrated Security

  • Multi-Tenancy

  • Consistent Snapshots

  • High Availability

Summary:

  • Customization

  • Compatibility

  • Automatic Layouts

  • Node Combining & Grouping

  • Network Filtering

  • Social Network Analysis

  • The Time Bar

  • Geospatial Networks

  • WebGL and HTML5 Canvas Graphics Rendering

FAQs:

    Does this service integrate with any other apps?
  • Can be integrated with data analytics suites.

  • Does this service offer multi-user capability (e.g. teams)?
  • Yes

  • Does this service offer an API?
  • Yes

  • What are some applications this service is commonly used in tandem with?
  • Tableau, Qlikview

  • Does this service offer guides, tutorials and or customer support?
  • Yes

  • What platforms does this service support?
  • Web

  • What is this service generally used for?
  • Data extraction from the web

  • Who are the main user groups of this service?
  • Ecommerce companies
    Recruitment firms
    Market research firms
    Travel agencies
    Manufacturing companies
    Real estate companies

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.

FAQs:

    Does this service offer guides, tutorials and or customer support?
  • Support: Videos, Email Support, Phone Support.

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

  • What are some applications this service is commonly used in tandem with?
  • It is commonly used in tandem with data storage and querying applications.

  • What platforms does this service support?
  • Keylines is a web-based solution.

  • Does this service offer an API?
  • KeyLines provides a fully-documented API of functionality including real-time, dynamic and geospatial network support.

  • Does this service integrate with any other apps?
  • Integrations: neo4j, Datastax, IBM Graph, Titan, JanusGraph, ArangoDB, Elastic, OrientDB, Cayley, InfiniteGraph, Postgre SQL, React, AngularJS.

  • What is this service generally used for?
  • It is used as a Software Development Kit (SDK) for network visualization.

  • Who are the main user groups of this service?
  • Cambridge-Intelligence works with hundreds of customers, including start-ups, Fortune 500 companies and national governments.

Publisher:

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

Publisher:

Founded:
-
Based in:
Santa Clara
Employees:
501-1000
Likes:
Followers:
49.8k

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
Followers:
967

Other:

Who uses DataStock
  • Startups
  • SMEs
  • Agencies
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English
Regional Restrictions:
No restrictions.

Other:

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

Other:

Who uses KeyLines
  • Startups
  • SMEs
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English
Regional Restrictions:
No restrictions.
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