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?
Companies
23 companies reportedly use Talend in their tech stacks, including everything, iOLAP, and DECATHLON.
Developers
124 developers on StackShare have stated that they use Talend.
Decisions about Talend
Here are some stack decisions, common use cases and reviews by companies and developers who chose Talend in their tech stack.
Mohanapriya R
SnapLogic Vs Talend: Which one to choose when you have a lot of transformation logic to be used huge volume of data load on everyday basis.
. better monitor & support . better performance . easy coding
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.
Alooma
Get the power of big data in minutes with Alooma and Amazon Redshift. Simply build your pipelines and map your events using Alooma’s friendly mapping interface. Query, analyze, visualize, and predict now.
Airflow
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.
Matillion
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.
