# Talend Studio features This section provides a list of core features that are installed by default and a list of optional features that need to be installed using the Feature Manager. ## Core features installed by default | Feature | Description | | --- | --- | | [Creating a Job](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/creating-job) | The Data Integration Job editor is the workspace where you can design your
Jobs. | | [Working with components](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/working-with-components) | A component is a functional element that performs a single data integration
operation in a Job. Only some basic Data Integration components are installed by
default. | | [Using contexts and variables](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/contexts-and-variables) | This feature allows you to manage Jobs and Routes differently for various
execution types, for example, testing and production environment. | | [What are routines](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/what-are-routines) | A routine is a Java class with many functions. It is generally used to
factorize code. | | [Introducing Talend SQL templates](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/introducing-talend-sql-templates) | Talend Studio
provides a range of SQL templates to simplify the most common data query and update,
schema creation and modification, and data access control tasks. It also comprises a
SQL editor which allows you to customize or design your own SQL templates to meet
less common requirements. | | [Objectives](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/objectives) | The metadata wizard allows you to store reusable information on databases,
files, and/or systems in the Repository tree view. The
information can be reused later to set the connection parameters of the relevant
input or output components and the data schema in a centralized manner. | | [Creating a project](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/creating-project) | This feature allows you to work on remote projects stored in Git
repositories. | |

[Configuring remote execution](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/configuring-remote-execution-talend-run-debug) |

This feature allows you to deploy and execute your Jobs on a remote JobServer
when you work on either a local project or on a remote one on the condition that you
are connected with Talend Administration Center. | |

[Connecting Talend Studio to Talend Cloud](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/connect-studio-to-cloud) |

This feature allows you to set up a connection to Talend Cloud. | |

[Opening a remote project](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/opening-remote-project) |

This feature allows you to set up a connection to Talend Administration Center. | |

[Publishing to Talend Cloud](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/publish-jobs) |

This feature allows you to publish Jobs, Routes and Data Services (artifacts)
created in Talend Studio to
Talend Cloud and
make them available to specific or all users of Talend Management Console. | ## Optional features installed using Feature Manager | Category | Feature | Description | | --- | --- | --- | | Shared features | [Talend Project Audit User Guide](https://help.qlik.com/talend/r/en-US/8.0/project-audit-user-guide) | Talend Project Audit
transforms project data flows to valuable business information. It introduces an
auditing approach for evaluating various aspects of Jobs implemented in your
Talend Studio. | |

Shared features |

[Building a Job as a Docker image](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/building-job-as-docker-image) |

This feature allows you to build a Job as a Docker image in order to execute it
on a Docker engine. | | Shared features | [Analyzing repository items](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/analyzing-repository-items) | This feature provides advanced capabilities for analyzing any given item, such
as a Job, in the Repository tree view.

| |

Shared features |

[Talend Job Script Reference Guide](https://help.qlik.com/talend/r/en-US/8.0/job-script-reference-guide) |

In addition to the graphical Job design interface, a Job script is another way
to create a data integration process with Talend Studio. | | Shared features | [Creating a Job from a template](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/creating-job-from-template) | This feature allows you to use the different templates to create ready-to-run
Jobs. | | Shared features | [Metadata Bridge preferences (Talend > Import/Export)](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/metadata-bridge-preferences-talend-import-export) | Talend
Metadata Bridge accelerates the implementation, maintenance and continuous
improvement of integration scenarios by allowing the synchronization, the sharing
and the conversion of metadata across the different components. | | Shared features | [Importing metadata from a CSV file](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/importing-metadata-from-csv-file) | This feature allows you to import metadata from a CSV file on an external
application. | | Shared features | [Publishing to an artifact repository](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/publishing-to-artifact-repository) | This feature allows you to publish your Job, Route or Service into an artifact
repository. | | Shared features | [Using resources in Jobs](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/using-resources-in-jobs) | This feature allows you to create resources and use them in your Jobs for file
handling. This way, when exporting your Jobs, for example, you can pack the resource
files as Job dependencies and deploy your Jobs without having to copy the files to
the target system. | | Shared features | [Talend Activity Monitoring Console User Guide](https://help.qlik.com/talend/r/en-US/8.0/activity-monitoring-console-user-guide) | Talend Activity Monitoring Console is
an add-on tool integrated in Talend Studio for
monitoring Talend
Jobs and projects. | | Shared features | [Testing Jobs and Services using test cases](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/ci-test-cases) | This feature allows you to create test cases to test your Jobs and Services
during Continuous Integration development to make sure they will function as
expected when they are actually executed to handle large datasets. | |

Shared features |

[Centralizing a Validation Rule](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/centralizing-validation-rule) |

A validation rule is a basic or integrity rule that you can apply to metadata
items to check the validity of your data. It can be basic check for correct values
or referential integrity check, both applicable to database tables or individual
columns, file metadata or any relevant metadata item. | | Data Integration > Components | Amazon DocumentDB | This feature installs Amazon DocumentDB components, including
tAmazonDocumentDBConnection, tAmazonDocumentDBInput, tAmazonDocumentDBOutput, and
tAmazonDocumentDBClose. | | Data Integration > Components | [CosmosDB SQLAPI](https://help.qlik.com/talend/r/en-US/8.0/cosmosdb/tcosmosdbsqlapiinput) | This feature installs Azure Cosmos DB SQL API components, including
tCosmosDBSQLAPIInput and tCosmosDBSQLAPIOutput. | | Data Integration > Components | [Azure Data Lake Storage Gen2](https://help.qlik.com/talend/r/en-US/8.0/azure-data-lake-store/tazureadlsgen2input) | This feature installs Azure ADLS Gen2 components, including tAzureADLSGen2Input
and tAzureADLSGen2Output. | | Data Integration > Components | [Azure Storage](https://help.qlik.com/talend/r/en-US/8.0/azure-data-lake-store/tazurefsconfiguration) | This feature installs Azure storage components, including
tAzureStorageQueueCreate, tAzureStorageQueueDelete, tAzureStorageQueueInput,
tAzureStorageQueueInputLoop, tAzureStorageQueueList, tAzureStorageQueueOPutput,
tAzureStorageQueuePurge, tAzureStorageConnection, tAzureStorageContainerCreate,
tAzureStorageContainerDelete, tAzureStorageContainerList, tAzureStorageDelete,
tAzureStorageGet, tAzureStorageList, tAzureStoragePut, tAzureStorageInputTable,
tAzureStorageOutputTable | | Data Integration > Components | [BRMS and Rules](https://help.qlik.com/talend/r/en-US/8.0/business-rules/tbrms) | This feature installs BRMS/rules components, including tBRMS and
tRules. | |

Data Integration > Components |

[Couchbase](https://help.qlik.com/talend/r/en-US/8.0/couchbase/tcouchbasedcpinput) |

This feature installs Couchbase components, including tCouchbaseDCInput,
tCouchbaseDCOutput, tCouchbaseInput, tCouchbaseOutput. | | Data Integration > Components | [CyberArk](https://help.qlik.com/talend/r/en-US/8.0/cyberark/tcyberarkinput) | This feature installs CyberArk components, including tCyberarkInput. | | Data Integration > Components | [tESBConsumer](https://help.qlik.com/talend/r/en-US/8.0/esb-soap/tesbconsumer) | This feature installs the tESBConsumer component. | | Data Integration > Components | [Google Drive](https://help.qlik.com/talend/r/en-US/8.0/google-drive/tgoogledriveconnection) | This feature installs Google drive components, including
tGoogleDriveConnection, tGoogleDriveCopy, tGoogleDriveCreate, tGoogleDriveDelete,
tGoogleDriveGet, tGoogleDriveList, tGoogleDrivePut. | | Data Integration > Components | Google Bigtable | This feature installs Google Bigtable components, including
tBigtableConnection, tBigtableInput, tBigtableOutput, and tBigtableClose. | | Data Integration > Components | [JIRA](https://help.qlik.com/talend/r/en-US/8.0/jira/tjirainput) | This feature installs Jira components, including tJIRAInput and
tJIRAOutput. | | Data Integration > Components | [Marketo](https://help.qlik.com/talend/r/en-US/8.0/marketo/tmarketobulkexec) | This feature installs Marketo components, including tMarketoBulkExec,
tMarketoCampain, tMarketoConnection, tMarketoInput, tMarketoListOperation,
tMarketoOutput. | |

Data Integration > Components |

[MarkLogic](https://help.qlik.com/talend/r/en-US/8.0/marklogic/tmarklogicbulkload) |

This feature installs MarkLogic components, including tMarkLogicBulkLoad,
tMarkLogicClose, tMarkLogicConnection, tMarkLogicInput, tMarkLogicOutput. | | Data Integration > Components | Neo4j | This feature installs Neo4j components, including tNeo4JClose,
tNeo4JConnection, tNeo4JInput, tNeo4JOutput, tNeo4JRow, tNeo4JBatchOutput,
tNeo4JBatchOutputRelationship, and tNeo4JBatchSchema. | |

Data Integration > Components |

[NetSuite](https://help.qlik.com/talend/r/en-US/8.0/netsuite/tnetsuiteconnection) |

This feature installs NetSuite components, including tNetsuiteConnection,
tNetsuiteInput, tNetsuiteOutput. | |

Data Integration > Components |

NoSQL / Big Data |

This feature installs the NoSQL / Big Data components, including
Cassandra, CosmosDB, DBFS, DynamoDB, ELTHive, HBase, HCatalog, HDFS, Hive,
Iceberg, Impala, Kafka, MapRDB, MongoDB, Neo4j, SAP HANA, and Sqoop related
components. | |

Data Integration > Components |

Partitioner |

This feature installs the Partitioner components, including tCollector, tDepartitoner, tPartitioner, and tRecollector. | | Data Integration > Components | [RabbitMQ](https://help.qlik.com/talend/r/en-US/8.0/rabbitmq/trabbitmqinput) | This feature installs RabbitMQ components, including tRabbitMQInput,
tRabbitMQOutput, tRabbitMQClose, tRabbitMQConnection. | | Data Integration > Components | [tRESTClient](https://help.qlik.com/talend/r/en-US/8.0/esb-rest/trestclient) | This feature installs the tRESTClient component. | | Data Integration > Components | [Salesforce](https://help.qlik.com/talend/r/en-US/8.0/salesforce/tsalesforcebulkexec) | This feature installs Salesforce components, including tSalesforceBulkExec,
tSalesforceConnection, tSalesforceEinsteinBulkExec,
tSalesforceEinsteinOutputBulkExec, tSalesforceGetDeleted,
tSalesforceGetServerTimestamp, tSalesforceGetUpdated, tSalesforceInput,
tSalesforceOutput, tSalesforceOutputBulk, tSalesforceOutputBulkExec. | |

Data Integration > Components |

SAP Hana (Advanced) |

This feature installs the advanced SAP HANA components, including
tSAPHanaBulkExec and tSAPHanaUnload. | | Data Integration > Components | [Snowflake](https://help.qlik.com/talend/r/en-US/8.0/snowflake/tsnowflakebulkexec) | This feature installs Snowflake components, including tSnowflakeBulkExec,
tSnowflakeClose, tSnowflakeCommit, tSnowflakeConnection, tSnowflakeInput,
tSnowflakeOutput, tSnowflakeOutputBulk, tSnowflakeOutputBulkExec,
tSnowflakeRollback, tSnowflakeRow. | | Data Integration > Components | [Splunk](https://help.qlik.com/talend/r/en-US/8.0/splunk/tsplunkeventcollector) | This feature installs Splunk components, including
tSplunkEventCollector. | |

Data Integration > Components |

Talend Data Preparation |

The Talend Data Preparation
components apply preparations, create datasets in Talend Data Preparation
or create flows with data from Talend Data Preparation
datasets. | |

Data Integration > Components |

Talend Data Stewardship |

The Talend Data Stewardship
components load data into Talend Data Stewardship
campaigns and retrieve or delete data in the form of tasks in Talend Data Stewardshipcampaigns. | | Data Integration > Components | [Workday](https://help.qlik.com/talend/r/en-US/8.0/workday/tworkdayinput) | This feature installs Workday components, including tWorkdayInput. | | Data Integration > Components | [Zendesk](https://help.qlik.com/talend/r/en-US/8.0/zendesk/tzendeskinput) | This feature installs Zendesk components, including tZendeskInput and
tZendeskOutput. | | Data Integration > Metadata | [Setting up an advanced schema](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/setting-up-advanced-schema) | This feature helps you define an **Advanced WebService** schema and store it
in the Repository tree view. | | Data Integration > Metadata | [CDC architectural overview](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/cdc-architectural-overview) | This feature helps you set up a CDC environment on a dedicated database
connection, which can quickly identify and capture data that has been added to,
updated in, or removed from database tables and make this change data available for
future use by applications or individuals. It is available for Oracle, MySQL, DB2,
PostgreSQL, Sybase, MS SQL Server, Informix, Ingres, Teradata, and AS/400. | | Data Integration > Metadata | [Centralizing UN/EDIFACT metadata](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/centralizing-un-edifact-metadata) | The EDIFACT metadata wizard helps you create a schema to be used for the
**tExtractEDIField** component to read and extract data from UN/EDIFACT message
files. | |

Data Integration > Metadata |

[Centralizing a Hadoop connection](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/centralizing-hadoop-connection) |

This features enables you to create and store a connection to a Hadoop cluster
in the Repository tree view. | |

Data Integration > Metadata |

[Centralizing HBase metadata](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/centralizing-hbase-metadata) |

This features enables you to centralize and store the connection information to
a HBase database in the Repository tree view. | |

Data Integration > Metadata |

[Centralizing HCatalog metadata](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/centralizing-hcatalog-metadata) |

This features enables you to centralize and store the connection information to
a HCatalog table in the Repository tree view. | | Data Integration > Metadata | [Centralizing SAP metadata](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/centralizing-sap-metadata) | The SAP metadata wizard helps you create a connection to an SAP BW system and
an SAP HANA database and store this connection in the
Repository tree view. | |

Data Integration > Metadata |

[Centralizing MDM metadata (deprecated)](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/centralizing-mdm-metadata) |

Talend
MDM metadata wizard helps you centralize the details of one or more MDM connections
in the **Repository** tree view. | |

Data Quality |

Data profiling capacities and Standard components |

This feature lets you use:

| |

Data Quality |

Spark Batch components and Big Data dependencies |

This feature lets you use the Spark Batch Components for Data Quality. Big Data
features are also installed to make the components work properly. | |

Data Quality |

Spark Streaming components and Big Data dependencies |

This feature lets you use the Spark Streaming Components for Data Quality. Big
Data features are also installed to make the components work properly. | |

Application Integration |

[What is a Service](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/what-is-service) and [What is a Route](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/what-is-route) |

Data Service combines data integration with Web services and enables the
graphical design of a Service which includes a WSDL file and one or more Jobs that
addresses all of the different sources and targets required to publish the Web
service. Route defines how messages will be moved from one service (or endpoint) to
another. | |

Big Data |

Spark Batch |

This feature enables you to create Spark Batch Jobs. | |

Big Data |

Spark Streaming |

This feature enables you to create Spark Streaming Jobs. | | Big Data > Distributions | Amazon EMR 5.29.0 | This feature enables you to run your Spark Jobs on the Amazon EMR 5.29.0
distribution. | | Big Data > Distributions | Amazon EMR 6.2.0 | This feature enables you to run your Spark Jobs on the Amazon EMR 6.2.0
distribution. | | Big Data > Distributions | Azure Synapse | This feature enables you to run your Spark Jobs on Azure Synapse Analytics with
Apache Spark pools as a distribution. | | Big Data > Distributions | Cloudera CDH Dynamic Distribution | This feature enables you to run your Spark Jobs on Cloudera CDH using either
Static (CDH 6.1, CDH 6.2 and CDH 6.3) or Dynamic distributions. | | Big Data > Distributions | Cloudera Data Platform Dynamic Distribution | This feature enables you to run your Spark Jobs on Cloudera Data Platform using
either Static (CDP 7.1) or Dynamic distributions. | | Big Data > Distributions | Databricks 5.5 | This feature enables you to run your Spark Jobs on the Databricks 5.5
distribution. | | Big Data > Distributions | Databricks 6.4 | This feature enables you to run your Spark Jobs on the Databricks 6.4
distribution. | | Big Data > Distributions | Databricks 7.3 LTS | This feature enables you to run your Spark Jobs on the Databricks 7.3 LTS
distribution. | | Big Data > Distributions | Hortonworks HDP Dynamic Distribution | This feature enables you to run your Spark Jobs on Hortonworks HDP using either
Static or Dynamic distributions. | | Big Data > Distributions | Microsoft Azure HDInsight 4.0 | This feature enables you to run your Spark Jobs on the Microsoft Azure
HDInsight 4.0 distribution. | | Big Data > Universal Distribution (Recommended) | Universal Distribution (Spark 2.4.x) | This feature enables you to run your Spark Jobs on Universal distribution with
Spark 2.4.x. | | Big Data > Universal Distribution (Recommended) | Universal Distribution (Spark 3.0.x) | This feature enables you to run your Spark Jobs on Universal distribution with
Spark 3.0.x. | | Big Data > Universal Distribution (Recommended) | Universal Distribution (Spark 3.1.x) | This feature enables you to run your Spark Jobs on Universal distribution with
Spark 3.1.x. | | Big Data > Universal Distribution (Recommended) | Universal Distribution (Spark 3.2.x) | This feature enables you to run your Spark Jobs on Universal distribution with
Spark 3.2.x. | | Big Data > Universal Distribution (Recommended) | Universal Distribution (Spark 3.3.x) | This feature enables you to run your Spark Jobs on Universal distribution with
Spark 3.3.x. | | Big Data > Universal Distribution (Recommended) | Universal Distribution (Spark 3.2.x) | This feature enables you to run your Spark Jobs on Universal distribution with
Spark 3.2.x. | | Big Data > Universal Distribution (Recommended) | Universal Distribution (Spark 3.3.x) | This feature enables you to run your Spark Jobs on Universal distribution with
Spark 3.3.x. | |

Data Mapper |

[Talend Data Mapper User Guide](https://help.qlik.com/talend/r/en-US/8.0/data-mapper-user-guide) |

Talend Data Mapper
allows you to map complex data records and documents and execute transformations in
Data Integration Jobs and Routes. | |

Data Mapper |

[Talend Data Mapper User Guide](https://help.qlik.com/talend/r/en-US/8.0/data-mapper-user-guide) |

Talend Data Mapper
for Spark allows you to map complex data records and documents and execute
transformations in Big Data Jobs. | |

Data Mapper > Standard structures |

HL7 v2.1 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.1 standard. | |

Data Mapper > Standard structures |

HL7 v2.2 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.2 standard. | |

Data Mapper > Standard structures |

HL7 v2.3 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.3 standard. | |

Data Mapper > Standard structures |

HL7 v2.3.1 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.3.1 standard. | |

Data Mapper > Standard structures |

HL7 v2.4 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.4 standard. | |

Data Mapper > Standard structures |

HL7 v2.5 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.5 standard. | |

Data Mapper > Standard structures |

HL7 v2.5.1 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.5.1 standard. | |

Data Mapper > Standard structures |

HL7 v2.6 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.6 standard. | |

Data Mapper > Standard structures |

HL7 v2.7 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.7 standard. | |

Data Mapper > Standard structures |

HL7 v2.7.1 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.7.1 standard. | |

Data Mapper > Standard structures |

HL7 v2.8 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.8 standard. | |

Data Mapper > Standard structures |

HL7 v2.8.1 |

This feature allows you to use Talend Data Mapper
with data in the HL7 v2.8.1 standard. | |

Data Mapper > Standard structures |

X12 4010 HIPAA |

This feature allows you to use Talend Data Mapper
with data in the X12 4010 HIPAA standard. | |

Data Mapper > Standard structures |

[Talend Data Mapper - X12 HIPAA Specifications](https://help.qlik.com/talend/r/en-US/8.0/data-mapper-specifications) |

This feature allows you to use Talend Data Mapper
with data in the X12 5010 HIPAA standard. | |

Master Data Management |

[Master Data Management by Talend](https://help.qlik.com/talend/en-US/studio-user-guide/8.0/master-data-management-by-talend) |

Talend MDM
addresses the challenges of creating and managing master data for all types of
organizations where data is hosted under various formats in various systems. It
groups all master data of the company in a central hub and has all the core features
a user needs for an MDM application: advanced modeling, model-driven dynamic web
interface, full-text search, event triggering, role-based security, etc. |