Data Integration Entry-Level

Work faster and smarter with an integration tool that has built-in governance and collaboration capabilities.

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Respond faster to business requests

Work smarter and faster across teams with a modern data integration platform for relational databases, flat files, cloud apps, and platforms based on an open, scalable architecture. Develop and deploy end-to-end data integration jobs 10 times faster than hand coding.

Data Integration Entry-Level Features

License and Support

  • Subscription license with warranty and indemnification

Design and Productivity Tools

  • Eclipse-based developer tooling and job designer
  • Team collaboration with shared repository
  • Continuous integration / Continuous delivery
  • Audit, job compare, impact analysis, testing, debugging, and tuning
  • Metadata bridge for metadata import/export and centralized metadata management
  • Distant run and parallelization
  • Dynamic schema, re-usable joblets, and reference projects
  • ETL and ELT support
  • Wizards and interactive data viewer
  • Versioning
  • Export and execute standalone jobs in runtime environments
  • Change data capture (CDC)
  • Automatic documentation
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Connectors

  • Cloud: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and more
  • RDBMS: Oracle, Teradata, Microsoft SQL server, and more
  • SaaS: Marketo, Salesforce, NetSuite, and more
  • Packaged Apps: SAP, Microsoft Dynamics, Sugar CRM, and more
  • Technologies: Dropbox, Box, SMTP, FTP/SFTP, LDAP, and more
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Components

  • File management: open, move, compress, decompress without scripting
  • Control and orchestrate data flows and data integrations with master jobs
  • Map, aggregate, sort, enrich, and merge data

Data Preparation and Stewardship

  • Import, export, and combine data from any database, Excel or CSV file
  • Export to Tableau
  • Self-service on-demand access to sanctioned datasets
  • Share data preparations and datasets
  • Operationalize preparations into any data or big data integration flow
  • Run preparations on Apache Beam*
  • Auto-discovery, standardization, auto-profiling, smart suggestions, and data visualization
  • Auto-discovery, standardization, and auto-profiling of custom semantic types
  • Smart and selective sampling and full-runs
  • Data tracking and masking with role-based security
  • Cleansing and enrichment functions
  • Data Stewardship App for data curation and certification
  • Define data models, data semantics and profile data accordingly
  • Define data models, data semantics and profile data accordingly. Define and apply rules (survivorship, mass updates)
  • Define and apply rules (survivorship, mass updates)
  • Merge and match data, resolve data errors, and arbitrate on data (classification and certification)
  • Merge and match data, resolve data errors, and arbitrate on data (classification and certification)
  • Orchestrate and collaborate on activities in campaigns
  • Orchestrate and collaborate on activities in campaigns
  • Define user roles, workflows and priorities, assign and delegate tasks, tag and comment
  • Define user roles, workflows and priorities, assign and delegate tasks, tag and comment
  • Embed governance and stewardship in data integration flows and manage rejects
  • Embed governance and stewardship in data integration flows and manage rejects
  • Embed human certification and error resolution into MDM processes
  • Embed human certification and error resolution into MDM processes
  • Take matching decisions that cannot be processed automatically
  • Take matching decisions that cannot be processed automatically
  • De-duplicate data at scale with machine learning
  • De-duplicate data at scale with machine learning
  • Audit and track data error resolution actions. Monitor progress of campaigns. Undo/redo based on business needs
  • Audit and track data error resolution actions. Monitor progress of campaigns. Undo/redo based on business needs
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Management and Monitoring

  • Deployment manager and team collaboration
  • Manage users, groups, roles, projects, and licenses
  • Amazon EC2 lifecycle control
  • Execution plan, time, and event-based scheduler
  • Check points, error recovery
  • Context management (dev, QA, prod)
  • Activity monitoring
  • Log server with dashboard
  • Optional Admin user add-on*
  • Engine clusters*
  • Job execution log history (2 months for Entry products, unlimited for Platforms*
  • Environments (2 for Entry products, unlimited for Platforms)*
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Talend Named a Leader.

We are a leader in the Forrester Wave™: Big Data Fabric, Q2 2018. We earned the highest scores of any vendor in the report in both the Current Offering and Strategy categories.

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Develop and deploy 10 times faster

Simple, graphical tools and wizards get you up and running quickly with over 900 components and connectors to natively connect databases, flat files, cloud-based applications and more. Easily share, manage, and monitor any number of ETL jobs.

Download 30-Day Free Trial

Reduce costs by running in the Cloud

Design cloud-to-cloud, on-premises, or hybrid data integration workflows in Talend Studio, then deploy and manage them through a highly scalable and secure cloud platform. With Talend’s managed cloud service there is no need to worry about upgrades, scalability, or failover. Easily take advantage of the capacity and performance of AWS, Microsoft Azure, Snowflake, Google, and more.

Building a Cloud Data Warehouse with Snowflake

Future proof your data architecture

The simpler it is to deploy to new technologies, the more responsive you can be to business requirements and technical innovations. Talend data pipelines are portable. Build them once and run them anywhere.

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Additional Benefits

Self-Service and Collaborative Governance

Data Preparation

Accelerate data usage and collaboration

Data Stewardship

Ensure data integrity through curation

Metadata Bridge

Synchronize, track and trace data pipelines

Subscription Pricing

Talend significantly lowers the upfront cost and total cost of ownership by charging per user.
Start where you are and scale as you need to.

Customer Success Stories

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