Accelerate time to value from your big data projects
Talend simplifies and automates big data integration with graphical tools and wizards that generate native code. This means your team can start working with Apache Hadoop, Apache Spark, Spark Streaming, and NoSQL databases, for cloud or on-premises today.
Compare Big Data Products
|Open Studio for Big Data||Big Data Platform||Real-Time Big Data Platform|
|Product Details||Product Details||Product Details|
|Free Open Source||User-based subscription||User-based subscription|
Hadoop and NoSQL
MapReduce and Spark
Spark Streaming, Machine Learning, IoT
|Community||Web, email, phone||Web, email, phone|
One of these Leaders Is Not Like the Others
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Simplify ETL and ELT for big data
Get started today with Hadoop and NoSQL databases using the leading free open source ETL tool for big data. Talend Open Studio for Big Data helps you develop faster with less ramp-up time, using a drag-and-drop UI with pre-built connectors and components for EDW offloading and ingesting data into your data lake.
Realize the speed and scale of Spark
Leverage the full power and scale of big data with the leading data integration and data quality platform built on Spark for cloud and on-premises. Talend Big Data Platform simplifies complex integrations for MapReduce and Spark by generating native code and enabling collaboration across teams and with users, accelerate time to market for big data projects.
Accelerate your move to real-time
Unleash the potential of real-time and IoT analytics by leveraging the power of Spark Streaming, machine learning, and ESB in a single integration platform for data, applications, and data quality. Easily convert an existing batch integration job into real-time with a few clicks and start working with Apache Spark, Spark MLlib and Spark Streaming today.
Customer Success Stories
Having the 360° view of the customer
Our focus is to enhance customer satisfaction through marketing tactics. Combining all our data has helped us better know our customers and better serve them.Read The Case Study
Revolutionizing investigative journalism with open data