Cloud Talend Studio features - Cloud - 8.0

Features per license and application

Version
Cloud
8.0
Language
English
Product
Talend Big Data
Talend Big Data Platform
Talend Cloud
Talend Data Fabric
Talend Data Integration
Talend Data Management Platform
Talend Data Services Platform
Talend ESB
Talend MDM Platform
Talend Real-Time Big Data Platform
Module
Talend Activity Monitoring Console
Talend Administration Center
Talend Artifact Repository
Talend CommandLine
Talend Data Preparation
Talend Data Stewardship
Talend ESB
Talend Identity and Access Management
Talend Installer
Talend JobServer
Talend LogServer
Talend Management Console
Talend MDM Server
Talend MDM Web UI
Talend Remote Engine
Talend Runtime
Talend SAP RFC Server
Talend Studio
Content
Design and Development
Installation and Upgrade
Last publication date
2024-02-22

Design and productivity features for Cloud licenses

Feature Available in...
Transform data, including filter, flatten/normalize, aggregate, replicate, look up, join, and time windowing
  • Talend Cloud Pipeline Designer Standard
  • Talend Cloud Data Integration
  • Talend Cloud Big Data
  • Talend Cloud Data Management Platform
  • Talend Cloud Big Data Platform
  • Talend Cloud Data Fabric
Live preview of sample data
Ability to design batch and streaming pipelines in the same interface, using the same connectors and graphical components
Ability to standardize,cleanse, and enrich data in the pipeline
Schema on-read support
Easily embed Python code
Support data formats including: AVRO, JSON, Parquet, Excel and CSV
Quickly evaluate the quality of your data sets with the Talend Trust Scoreā„¢
Store data in shared, common dataset repository across all Talend products
Write into Talend Data Stewardship campaigns
File management: open, move, compress, decompress without scripting. See the documentation for related components.
  • Talend Cloud Data Integration
  • Talend Cloud Big Data
  • Talend Cloud Data Management Platform
  • Talend Cloud Big Data Platform
  • Talend Cloud API Services Platform
  • Talend Cloud Data Fabric
Graphical design environment. See Designing Jobs and Routes.
Control and orchestrate data flows and data integration with master Jobs. See Orchestration (Integration) components.
Map, aggregate, sort, enrich and merge data. See Mapping data flows and Processing (Integration) components.
Team collaboration with shared repository. See Working collaboratively on Git projects in Talend Cloud.
Continuous integration
Audit, Job compare, impact analysis, testing, and debugging and tuning. See Talend Project Audit, Comparing Jobs, Impact analysis, Testing Jobs and Services using test cases, and Running a Job in Java Debug mode.
Metadata bridge for metadata import/export and centralized metadata management. See Getting Started with the Talend Metadata Bridge.
Distant run and parallelization. See Running a Job remotely and Using parallelization to optimize Job performance.
Dynamic schema, re-usable Joblets, and reference projects. See Dynamic schema, Designing a Joblet, and Defining project references.
Wizards and interactive data viewer. See Managing metadata in Talend Studio.
Versioning. See Managing Job and Route versions.
Export and execute standalone jobs in runtime environments
Change Data Capture (CDC). See Change Data Capture (CDC).
Automatic documentation. See Documenting a Job or a Route.
Publish to Talend Cloud. See Publish to Talend Cloud .
Controlled patch management. See Updating Talend Studio.
Support for Hadoop technologies. See HBase, HCatalog, HDFS and Hive.
  • Talend Cloud Big Data
  • Talend Cloud Big Data Platform
  • Talend Cloud Data Fabric
Support for Apache Spark Batch and Apache Spark Streaming. See How a Talend Job for Apache Spark works.
Support for Spark Universal. See Spark Universal support for Hadoop distributions in Talend Studio .
Support for Spark on YARN platforms. See AWS EMR, Azure HD Insight, Cloudera, and Google Dataproc.
Support for server-less platforms. See Databricks, Delta Lake, and Azure Synapse Analytics with Spark pools.
Support for dynamic distributions. See Dynamic support for Hadoop distributions in Talend Studio .
Support for Apache Spark Streaming. See How a Talend Job for Apache Spark works.
  • Talend Cloud Data Fabric
WS policy-based web services security
  • Talend Cloud API Services Platform
  • Talend Cloud Data Fabric
Reliable messaging backbone based on ActiveMQ
Service Locator and Service Registry
XML key management specification (XKMS)
Command line and scripting tools
Build and deploy as an OSGi feature
Build, deploy, and manage a microservice
Deliver and route messages and events based on Enterprise Integration Patterns (EIPs)
Drag-and-drop routes and SOAP/REST service creation and simulation
Continuous delivery
  • Talend Cloud Data Management Platform
  • Talend Cloud Big Data Platform
  • Talend Cloud API Services Platform
  • Talend Cloud Data Fabric
Visual mapping for hierarchical formats. See the What is Talend Data Mapper?.
Repository manager

Data quality features for Cloud licenses

Feature Available in...
Cleanse data, mask data, and data matching on Spark and Hadoop. See the Data quality components for Apache Spark.
  • Talend Cloud API Services Platform
  • Talend Cloud Big Data Platform
  • Talend Cloud Data Fabric
  • Talend Cloud Data Management Platform
Profile Big Data. See Profiling Big Data.
Analyze databases/delimited files: Redundancy, table, column, correlation, and semantic-aware analyses. See Analyzing databases.
Generate reports on analyses. See What are reports?.
Store in the data quality data mart the analyses and reports executed in Talend Studio. See Data quality data mart.
Data profiling and analytics with graphical charts and drill-down data. See Analyzing databases.
Semantic discovery with automatic detection of patterns. See Exploring semantic categories of data columns.
Machine learning for data matching and deduplication. See the Machine Learning components.
Data privacy with masking and encryption. See the Data privacy components.
Data matching. See Data matching with Talend tools.
Standardize data. See the Data quality components.
Comprehensive survivorship. See the tRuleSurvivorship component.
Pattern library. See Patterns.
Fraud pattern detection using Benford's Law. See Fraud detection.
Advanced statistics with indicator thresholds. See Indicators.