Compare Treasure Data vs DataStock vs Talend

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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.

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:

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:

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

Features:

  • Analytics
  • Data Mining
  • Data Export

Features:

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

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

Summary:

  • Comprehensive data sets from all around the web

  • Easy download of data

  • Structured and clean data files

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?
  • 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.

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 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.

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Other:

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

Other:

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

Other:

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