License | Free Open Source | User-based subscription | User-based subscription | User-based subscription |
| Free open source Apache license | | | | |
| Subscription license with warranty and indemnification | | | | |
| Available as downloadable software | | | | |
| Available as cloud service | | | | |
| 2 free Data Preparation and 2 free Data Stewardship licenses with any Talend subscription | | | | |
Design and Productivity Tools | | | | |
| Graphical design environment | | | | |
| Team collaboration with shared repository | | | | |
| Continuous integration / Continous delivery | | | | |
| Visual mapping for complex JSON, XML and EDI | | | | |
| 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 | | | | |
| Repository manager | | | | |
| ETL and ELT support | | | | |
| Wizards and interactive data viewer | | | | |
| Versioning | | | | |
| Export and execute standalone jobs in runtime environments | | | | |
| Change data capture (CDC) | | | | |
| Automatic documentation | | | | |
| Cloud Pipeline Designer | | | | |
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 | | | | |
| Standard support: REST, SOAP, OpenID Connect, OAuth, SAML, WSDL, Swagger(tm) and more | | | | |
| Transports/protocols support: HTTP, JMS, MQTT, AMQP, UDP, Apache Kafka, WebSphere MQ, and more | | | | |
| Enterprise Integration Patterns for service mediation, routing, and messaging | | | | |
Connectors | | | | |
| Cloud: 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 | | | | |
| Cleansing, masking, and error resolution | | | | |
| Optional 3rd-party address validation services | | | | |
API Development | | | | |
| Visual API Designer | | | | |
| Support for OAS / Swagger(tm) and RAML | | | | |
| Visual API Tester | | | | |
| Automatic API mocking | | | | |
| API testing automation | | | | |
| Hosted API documentation | | | | |
| API contract import into Talend Studio | | | | |
Agile Application Integration | | | | |
| Drag-and-drop route, data and web/REST services creation and simulation | | | | |
| WS policy-based web services security | | | | |
| Deliver and route messages and events based on Enterprise Integration Patterns (EIPs) | | | | |
| Reliable messaging backbone based on ActiveMQ | | | | |
| Service locator and registry | | | | |
| Command line and scripting tools | | | | |
| XML key management specification (XKMS) | | | | |
| Build and deploy as an OSGI feature | | | | |
| Build a microservice | | | | |
| Deploy and manage a microservice | | | | |
Management and Monitoring | | | | |
| High availability, load balancing, failover for Jobs | | | | |
| Deployment manager and team collaboration | | | | |
| Manage users, groups, roles, projects, and licenses | | | | |
| Manage execution engines | | | | |
| Execution plan, time, and event-based scheduler for Jobs | | | | |
| Check points, error recovery | | | | |
| Context management (dev, QA, prod) | | | | |
| Activity monitoring | | | | |
| Log collection and display | | | | |
| Optional Admin user add-on | | | | |
| Engine clusters for jobs | | | | |
| Static IP addresses | | | | |
| Job execution log history (2 months for Entry products, 3 months for Platforms) | | | | |
| Environments (2 for Entry products, unlimited for Platforms) | | | | |
| Single Sign-On (SSO) integration with several SSO providers | | | | |
| Cloud Security Information and Event Management (SIEM), Intrusion Detection System (IDS), Intrusion Prevention System (IPS) and Web Application Firewall (WAF) | | | | |
Services Management | | | | |
| System monitoring: JMX / Jolokia | | | | |
| Services and routes runtime engine (Talend Runtime on-prem, Remote Engine cloud) | | | | |
| Containerized service generation | | | | |
| Access into live statistics of message flow activity | | | | |
| Integrated artifact repository | | | | |
| Interface to deploy data services and routes | | | | |
| Identity management and authorization | | | | |
Data Quality and Governance | | | | |
| Data profiling and analytics with graphical charts and drilldown data | | | | |
| Data privacy with masking and encryption | | | | |
| Automated data standardization, cleansing and rules enforcement | | | | |
| Data quality portal with monitoring, reporting, and dashboards | | | | |
| Semantic discovery with automatic detection of patterns | | | | |
| Comprehensive survivorship | | | | |
| Data sampling | | | | |
| Enrichment, harmonization, fuzzy matching, and de-duplication | | | | |
Advanced Data Profiling | | | | |
| Fraud pattern detection using Benford Law | | | | |
| Advanced statistics with indicator thresholds | | | | |
| Column set analysis | | | | |
| Advanced matching analysis | | | | |
| Time column correlation analysis | | | | |
Pipeline Designer | | | | |
| Design pipelines in the cloud and run on-premises or in the cloud | | | | |
| Read/Write support for Snowflake; Amazon Redshift, S3; Azure SQL Database, SQL Data Warehouse, Blob Storage, Data Lake Store Gen2; Amazon RDS (Oracle, SQL Server, MySQL, PostgreSQL, Aurora); and on-premise through JDBC (Oracle, SQL Server, MySQL, MariaDB, PostgreSQL) | | | | |
| Connectors for SaaS: Saleforce; Streaming: Apache Kakfa, Amazon Kinesis (source only), Azure Event Hubs; NoSQL: Elasticsearch | | | | |
| Native cloud data warehouse connectors: Snowflake and Amazon Redshift bulk loaders (destination only) | | | | |
| Lightweight data transformations including filter, flatten/normalize, aggregate, replicate, look up, join, and time windowing | | | | |
| Live preview of sample data, and pipeline sharing | | | | |
| Design batch and streaming pipelines in the same interface, using the same connectors | | | | |
| Schema on-read support | | | | |
| Easily embed Python code | | | | |
| Supports data formats including: AVRO, JSON, Parquet, and CSV | | | | |
| Stores data in shared, common data set repository across all Talend products | | | | |
| Manage users and licenses, schedule pipelines and monitor status (TMC) | | | | |
Data Preparation and Stewardship | | | | |
| Import, export and combine data from any database, Excel, or CSV file | | | | |
| Import, export, and combine CSV, Parquet and AVRO files | | | | |
| Export to Tableau | | | | |
| Self-service on-demand access to sanctioned datasets | | | | |
| Share data preparations and datasets | | | | |
| Operationalize preparations into any data and cloud integration flow | | | | |
| Run preparations on Apache Beam | | | | |
| Auto-discovery, standardization, auto-profiling, smart suggestions, and data visualization | | | | |
| Customization of semantic type for auto-profiling and standardization | | | | |
| 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 and apply rules (survivorship, mass updates) | | | | |
| Merge and match data, resolve data errors, and arbitrate on data (classification and certification) | | | | |
| Orchestrate and collaborate on activities in campaigns | | | | |
| 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 human certification and error resolution into MDM processes | | | | |
| Take matching decisions that cannot be processed automatically | | | | |
| 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 | | | | |
Support | Self-service | Web, email | Web, email, phone | Web, email, phone |