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A single, unified suite for all integration needs
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What is Talend?

It is an open source software integration platform helps you in effortlessly turning data into business insights. It uses native code generation that lets you run your data pipelines seamlessly across all cloud providers and get optimized performance on all platforms.
Talend is a tool in the Big Data Tools category of a tech stack.

Who uses Talend?

20 companies reportedly use Talend in their tech stacks, including iOLAP, Trusted Shops GmbH, and SCMC-CMU.

36 developers on StackShare have stated that they use Talend.

Talend Integrations

Pros of Talend
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Public Decisions about Talend

Here are some stack decisions, common use cases and reviews by companies and developers who chose Talend in their tech stack.

Shared insights

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Talend Alternatives & Comparisons

What are some alternatives to Talend?
Spring Batch
It is designed to enable the development of robust batch applications vital for the daily operations of enterprise systems. It also provides reusable functions that are essential in processing large volumes of records, including logging/tracing, transaction management, job processing statistics, job restart, skip, and resource management.
Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma鈥檚 friendly mapping interface. Query, analyze, visualize, and predict now.
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
It is a modern, browser-based UI, with powerful, push-down ETL/ELT functionality. With a fast setup, you are up and running in minutes.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
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Talend's Followers
68 developers follow Talend to keep up with related blogs and decisions.
Taoufik Abouzid
Juan Carlos Rodr铆guez Rojo
Abdlrahman Adnan
Ankit Singhai
Kenneth Tang
madhuri kalani
Ajaz Rahman
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