G2 Crowd builds the world's largest business commerce platform fueled by $100M in funding šŸš€

Talend Data Integration

4.0
(45)

Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

Work for Talend Data Integration?

Learning about Talend?

We can help you find the solution that fits you best.

Talend Data Integration Features

Admin Tools

Visual Designer

Provides tool to set up integrations and adminster integrations using visual inteface with out coding

83%
(Based on 25 reviews)

Data Transformations

Provides standard tools and functions to convert data values from the data format of a source system into the data format of a destination system

87%
(Based on 26 reviews)

Breadth of Connectors

Supports wide variety of connectors across SaaS, Enterprise, Big Data, Mainframe, Files

87%
(Based on 26 reviews)

Quality of Connectors

Predefined "standard" connectors can be used without signficant modifications

83%
(Based on 26 reviews)

Workflow

Build advanced business processes and workflows

82%
(Based on 27 reviews)

User Community

Has user community that openly shares learnings and knowledge amongst each other

81%
(Based on 24 reviews)

Run Time Capability

Real-Time Integration

Supports event or transaction based integrations that react to changes in real-time

79%
(Based on 30 reviews)

Parallel Processing

Simultaneous uses more than one CPU or processor core to execute large jobs faster during off hours.

80%
(Based on 32 reviews)

Data Chunker

Splits the source data into multiple chunks so that processing time can be improved

79%
(Based on 22 reviews)

Data Masking

Ability to de-identify fields to protect sensitive data

80%
(Based on 22 reviews)

Proactive Monitoring

Identifies opportunities or threats with data quality or data governace and sends alerts messages

72%
(Based on 19 reviews)

Integration Options

Big Data Processing

Provides integration to BigData sources such as Hadoop and other NoSQL sources (MongoDB, Cassandra and HBase)

85%
(Based on 24 reviews)

Data Virtualization

Integrates data from disparate sources, without physical data movement

75%
(Based on 18 reviews)

Data Lifecycle Management

Provides tools to manage the flow of data throughout its life cycle: from creation and initial storage to obsolescence and deletion

79%
(Based on 18 reviews)

Master Data Management

Supports managing master data by removing duplicates, standardizing data in mass, using rules, etc to eliminate incorrect data from entering the system.

82%
(Based on 19 reviews)

Hierarchical Data

Ability to process hierarchical data, like JSON, XML, HIPAA etc?.

77%
(Based on 20 reviews)

Managed File Transfers

Provides one or more methods to securely transfer data from one location to another through a network

82%
(Based on 24 reviews)

Asynchronous Messaging

Ability to place a message in a message queue and does not need to wait for a reply to continue processing

82%
(Based on 17 reviews)

Platform

Test to Production

Allows new version of integration or integrating to new software versions to be tested and deployed when scheduled

79%
(Based on 15 reviews)

Customization

System provide sufficient customization to meet business requirements

88%
(Based on 18 reviews)

APIs

System provide well documented API's that can be used to integrate to 3rd party systems

79%
(Based on 15 reviews)

Internationalization

System support multiple currencies and languages to enable business in multiple countries

79%
(Based on 7 reviews)

Performance and Reliability

System is consistently available (uptime) and system's speed is don't impact productivity

78%
(Based on 21 reviews)

User Segmentation and Security

Allows adminstrators to control access to data/integrations based on user or user type.

75%
(Based on 14 reviews)