Compare DataStock vs Cloudera vs Treasure Data

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79%
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83%
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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:

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:

Treasure Data operates with customer data for large tech companies, including those from Fortune 500 list. This managed cloud service is also widely used by innovators in other industries, like retail, eCommerce, advertising, and more.

Treasure Data is a customer data platform for marketing segmentation and personalization. By automating data collection and data processing, it helps its users overcome information overload and gain a dynamic look at their customers. It is a data-driven client personalization with 360° view.

This platform provides access to 1st, 2nd, and 3rd party data, including past data and current activities. Data from different sources are being unified, which reduces the need for data cleaning. It enables users to get and maintain a singular customer view, which is the solid basis for a successful marketing campaign.

Features:

  • Analytics
  • Data Mining
  • Data Export

Features:

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

Features:

  • Inventory Tracking
  • Dashboard
  • Scheduling
  • Notifications
  • Data Import
  • Data Mining
  • Data Export
  • Data Visualization
  • Forecasting
  • API
  • External Integrations
  • Analytics
  • A/B Testing

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:

  • Pre-built Connectors

  • Support for Real-Time and Batch Integration

  • Data Quality Services

  • Data Security Features

  • Monitoring Console

  • Unified Data For a 360° View of Your Customer

  • Continuous Data Integration For Pull and Push Transmission

  • Marketing Automation at Scale without Custom Engineering

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:

    What are some applications this service is commonly used in tandem with?
  • This service is commonly used in tandem with CRM and cloud storage applications.

  • What is this service generally used for?
  • This service is used for customer data analytics.

  • Does this service offer guides, tutorials and or customer support?
  • Support: Community, FAQ, Knowledgebase, Video Tutorials, Webinars, Phone, Live Chat, Email.

  • Does this service offer an API?
  • Treasure Data’s REST API makes it easy for users to POST to or GET data from a company’s cloud data warehouse.

  • Who are the main user groups of this service?
  • Main users of Treasure Data are medium-sized and large enterprises, including those from Fortune 500 list.

  • What platforms does this service support?
  • This is a SaaS platform.

  • Does this service integrate with any other apps?
  • Integrations: Marketo, Segment.io, Mixpanel, TUNE Marketing Console, Google Analytics, AppsFlyer, adjust, Amplitude Analytics, Chartio, Tableau Desktop, Tableau Server, Looker, Domo, Adobe Analytics, Heap, Hadoop, Amazon Redshift, App Annie, Microsoft Power BI, Tableau Online, Pentaho, Metric Insights, Microsoft Office 2016, Microsoft Azure, Google Cloud Storage, Google Drive, Intercom, Zendesk, Elasticsearch, MongoDB, Google BigQuery, Microsoft SQL Server, PostgreSQL, Snowflake, MySQL, MariaDB, Docker, Heroku, Stripe, MailChimp, Salesforce Marketing Cloud Email Studio, Oracle Eloqua, Pardot, HubSpot, Oracle Responsys, NetSuite, DoubleClick, Facebook for Business, Sizmek, AdRoll, Acxiom LiveRamp Connect, Datorama, Twitter Ads, Google Tag Manager, salesforce sales cloud, kafka, Amazon Kinesis, hive mall, jupyter, pandas, R, mLab, fluentd, JDBC, Luigi, Python, Rest API, informatica, ruby, branch, eyeota, instagram Ads, xbee, MQTT, RaspberryPi, Serial Devices, CSV, FTP, Webhooks, mysql workbench, razorSQL, SQuirreL SQL, iOS, Android, Unity, Unreal Engine.

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
2.06k
Followers:
1.99k

Publisher:

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

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
4.43k
Followers:
4.98k

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:
French, English, German, Korean, Spanish, Italian, Chinese, Japanese
Regional Restrictions:
No restrictions.

Other:

Who uses Treasure Data
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English, Korean, Japanese
Regional Restrictions:
No restrictions.
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