Hortonworks Data Platform (HDP) is an open source framework for distributed storage and processing of large, multi-source data sets. HDP modernizes IT infrastructure and keeps data secure—in the cloud or on-premises—while helping to drive new revenue streams, improve customer experience, and control costs.
Hortonworks merged with Cloudera in eary 2019.
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HPE Ezmeral Data Fabric (MapR)
Score 9.4 out of 10
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HPE Ezmeral Data Fabric (formerly MapR, acquired by HPE in 2019) is a software-defined datastore and file system that simplifies data management and analytics by unifying data across core, edge, and multicloud sources into a single platform. Just as a loom weaves multiple threads into a single piece of fabric, HPE Ezmeral Data Fabric weaves distributed data into a single enterprise-wide data layer that ingests, processes, and stores data once and then makes it available for reuse across multiple…
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Hortonworks Data Platform
HPE Ezmeral Data Fabric (MapR)
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Hortonworks Data Platform
HPE Ezmeral Data Fabric (MapR)
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Community Pulse
Hortonworks Data Platform
HPE Ezmeral Data Fabric (MapR)
Considered Both Products
Hortonworks Data Platform
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Chose Hortonworks Data Platform
Hortonworks Data Platform is on par with, if not better than, Cloudera or MapR. It provides a big list of components (25-30) that you can pick and use based on your needs. It provides an easy and convenient way to add/remove any of those. It provides a good way of integrating …
While Apache Hadoop is completely open sourced, Hortonworks Data Platform offers support as well as keeps pace with the open source versions. Also, the HDP open sources its own products, thus giving back to the community. I find using the Hortonworks Data Platform more …
Hortonworks Data Platform is more efficient to use than Apache since you don't need to configure everything by yourself. Again, Cloudera, MapR, and IBM is proprietary software.
We supported all three Hadoop vendors with our Hadoop RDBMS product. Here's how I see the commercial Hadoop distribution world. If you need raw performance and don't mind proprietary technology, go with MapR. If you care about the most pure open source, go with Hortonworks. If …
Hortonworks and Cloudera are both sort of hacky. We have to do a lot of extra steps to automate those two. MapR has far fewer issues and doesn't force you into a once size fits all deployment scenario. There are multiple ways to deploy and some are more amenable to automation, …
When we were shopping, Mapr had the momentum, high availability even on Hadoop 1.x, an improved file system and better a central control system. Now it looks like the situation has changed a lot.