Compare MapR vs Cloudera vs Talend

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85%
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83%
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71%
55%
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83%
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72%
49%
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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:

Cloudera is an Apache Hadoop platform that processes big data and fulfills business intelligence needs for organizations. It provides a unified storage, processing, and an analytics platform.

This software enables organizations to understand their clients and to learn from their actions to give a more personalized interaction. Understanding customers' needs is a needed for better product and service engagements.

With Cloudera, analytic professionals have everything they need to fully understand a mass amount of data, as well as to ask bigger questions and extract the answers. This gives companies high-value insight that helps businesses become more relevant to their users and strengthens their brand

Software Description:

Talend uses high-scale, in-memory fast data processing for big data operation and data integration to help organizations make better real-time decisions. It helps them operate between batch, streaming and real-time while running on-premises, or in the cloud.

Talend is an ideal solution for data-hungry enterprises, giving them tools to monitor, audit, and understand data access. This service delivers big data, cloud storage, data integration, data management, master data management, data quality, data preparation and enterprise application integration solutions.

Talend offers following tools: Data Management for relational databases, flat files, and cloud apps; Big Data, which leverages the full power of big data; Real-Time Big Data Platform; Integration Cloud for connecting data sources; Data Preparation; MDM Platform; and Metadata Manager.

Features:

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

Features:

  • Dashboard
  • Notifications
  • External Integrations
  • Data Import
  • Data Export
  • Forecasting
  • Data Visualization
  • Data Mining
  • Analytics

Features:

  • Analytics
  • Forecasting
  • Dashboard
  • Scheduling
  • External Integrations
  • Multi-User
  • Notifications
  • Data Visualization
  • API
  • Data Import
  • Data Mining
  • Data Export

Summary:

  • Apache Hadoop

  • MapR-DB

  • Scalability

  • Standards-Based APIs and Tools

  • Manageability

  • Direct Access NFS™

  • Integrated Security

  • Multi-Tenancy

  • Consistent Snapshots

  • High Availability

Summary:

  • Cluster management

  • Resource management

  • Support for CDH 4 and CDH 5

  • Automated deployment and readiness checks

  • Installation from local repositories

  • Rolling upgrade of CDH

  • Service and configuration management

  • Configuration audit trails

  • Client configuration management

  • Kerberos authentication

Summary:

  • Free Open Source Apache License

  • ETL and ELT support

  • Versioning

  • Export and Execute Standalone Jobs in Runtime Environments

  • Hadoop & NoSQL

  • MapReduce & Spark

  • Generates Native Spark Streaming Code

  • Automate Data Quality Error Resolution and Enforce Rules

  • Cloud: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and more

  • File Management: open, move, compress, decompress without scripting

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: Knowledge Base, Phone Support, Training, Videos, Email Support.

  • What is this service generally used for?
  • This service is used for transforming complex data into clear and actionable insights.

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

  • Who are the main user groups of this service?
  • Main users of Cloudera are companies within the Global 8,000, typically with annual revenues above $1B US.

  • What platforms does this service support?
  • This is a web-based platform.

FAQs:

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

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

  • What platforms does this service support?
  • Talend offers both cloud-based and on-premise deployments.

  • Who are the main user groups of this service?
  • Users of Talend are enterprises spanning all verticals, from Fortune 100 enterprises to startups.

  • Does this service offer an API?
  • Yes, Talend offers API.

  • Does this service offer guides, tutorials and or customer support?
  • Support: Technical Support, Consulting, Training, Community Support, Help Center, Email Support.

  • Does this service integrate with any other apps?
  • Integrations: SAP, Microsoft Dynamics, Sugar CRM, Dropbox, Box, SMTP, FTP/SFTP, LDAP, Marketo, Salesforce, NetSuite, Oracle, Teradata, Microsoft SQL server.

Publisher:

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

Publisher:

Founded:
-
Based in:
Palo Alto
Employees:
1001-5000
Likes:
Followers:

Publisher:

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

Other:

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

Other:

Who uses Cloudera
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
Spanish, Chinese, German, Japanese, Italian, French, English, Korean
Regional Restrictions:
No restrictions.

Other:

Who uses Talend
  • Enterprises
Desktop Platforms:
  • Web App
  • Windows
  • Macintosh
Languages:
German, Japanese, Italian, French, English
Regional Restrictions:
No restrictions.
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