Pimcore is an open-source software platform used by more than 110 000 companies worldwide. It offers state-of-the-art digital asset management (DAM), product information management (PIM), master data management (MDM), digital experience management (DXP/CMS), multi-channel publishing, and digital commerce. Acclaimed by analysts at Gartner and Forrester, its customers include Fortune 100 companies such as Pepsi, Sony, and Audi. The company's headquarters are in Salzburg, Austria.
Pimcore’s consolidated platform enables organizations to manage product information, digital assets, digital commerce, and web content in a consolidated setup, thus empowering them with a single ‘trusted view’ of information and delivering a superior product experience to their customers across multiple touchpoints.
What makes Pimcore a great open-source alternative to proprietary, closed-source software is its incredible flexibility, 100% API-driven architecture, composable technology, speed-to-market, plus the momentum of 150+ global solution partners. The Pimcore Platform™ is loved by developers, agencies, and enterprises. For more information, please visit pimcore.com.
Based on our record, Amazon EMR should be more popular than Pimcore. It has been mentiond 10 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Also, I have Pimcore up and running on AWS as well too .. https://pimcore.com/en. Source: over 2 years ago
Pimcore, by definition, is an open-source digital experience platform with superb data management capabilities. Source: over 2 years ago
There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago
I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago
This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: almost 2 years ago
Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago
Check out https://aws.amazon.com/emr/. Source: about 2 years ago
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