Compare DataStock vs Cloudera vs superQuery

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Crozscore:

80%
what is this?
39%
interest rising

Crozscore:

87%
what is this?
55%
interest rising

Crozscore:

46%
what is this?
4%
interest falling
DataStock screenshot view 2 more Cloudera screenshot view 5 more superQuery screenshot view 1 more

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:

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:

superQuery (patent pending) is an AI algorithm capable of understanding
the purpose of each query and amend it for maximum efficiency in real-time, resulting in faster, smarter and less expensive queries.

Most companies that use superQuery report 60% cost savings and 100% happy data scientists and analysts

Features:

  • Analytics
  • Data Mining
  • Data Export

Features:

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

Features:

  • API
  • Data Visualization
  • Analytics
  • External Integrations
  • Data Mining
  • Dashboard
  • Scheduling
  • Multi-User

Summary:

  • Comprehensive data sets from all around the web

  • Easy download of data

  • Structured and clean data files

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:

    No key features associated with this application.

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:

    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:

    Who are the main user groups of this service?
  • Any company (SMB & Enterprise) that is already using serverless BigData solutions such as Google BigQuery or AWS Athena.

  • Does this service offer an API?
  • Yes, this is a very important part of the service as ~80% of traffic is done via API.

  • What is this service generally used for?
  • Making sure data scientists and analysts won't make mistakes while using Google BigQuery and AWS Athena services. Produce better, smarter and more efficient queries while reducing costs by 60%.

  • Does this service integrate with any other apps?
  • yes with any BI product such as Looker, Tableau.

  • Does this service offer guides, tutorials and or customer support?
  • Yes, for now they're only internal but we're working to create additional content.

  • What platforms does this service support?
  • Google Bigquery; AWS Athena & Spectrum; Oracle 18C; Snowflake; and Microsoft TBD.

  • Does this service offer multi-user capability (e.g. teams)?
  • Yes - multi-user management with top-notch security.

Publisher:

Founded:
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Based in:
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Employees:
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Likes:
Followers:

Publisher:

Founded:
-
Based in:
Palo Alto
Employees:
1001-5000
Likes:
24k
Followers:
110k

Publisher:

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

Other:

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

Other:

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

Other:

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