Cloudera vs MapR
Last updated: August 05, 2019
Cloudera helps you become information-driven by leveraging the best of the open source community with the enterprise capabilities you need to succeed with Apache Hadoop in your organization. Designed specifically for mission-critical environments, Cloudera Enterprise includes CDH, the world’s most popular open source Hadoop-based platform, as well as advanced system management and data management tools plus dedicated support and community advocacy from our world-class team of Hadoop developers and experts. Cloudera is your partner on the path to big data.
The MapR Distribution for Apache Hadoop provides organizations with an enterprise-grade distributed data platform to reliably store and process big data. MapR packages a broad set of Apache open source ecosystem projects enabling batch, interactive, or real-time applications. The data platform and the projects are all tied together through an advanced management console to monitor and manage the entire system.
Cloudera vs MapR in our news:
2019 - HPE acquires big data platform MapR
Hewlett Packard Enterprises has acquired MapR Technologies, the distributor of a Hadoop-based data analytics platform. The deal includes MapR’s technology, intellectual property, and domain expertise in AI, machine learning, and analytics data management. The MapR portfolio will bolster HPE’s existing big data offerings, which includes the BlueData software it acquired in November. BlueData’s software delivers a container-based approach for spinning up and managing Hadoop, Spark, and other environments on bare metal, cloud, or hybrid platforms. The MapR platform provides a number of capabilities for running distributed applications. The software exposes storage APIs for e S3 API, to go along with APIs for HDFS, POISX, NFS, and Kafka.
2018 - Big Data platforms Cloudera and Hortonworks merge
Over the years, Hadoop, the once high-flying open-source platform, gave rise to many companies and an ecosystem of vendors emerged. The problem with Hadoop was the sheer complexity of it. That’s where companies like Hortonworks and Cloudera came in. They packaged it for IT departments that wanted the advantage of a big data processing platform, but didn’t necessarily want to build Hadoop from scratch. These companies offered different ways of helping to attack that complexity, but over time, with all the cloud-based big data solutions, rolling a Hadoop system seemed futile, even with the help of companies like Cloudera and Hortonworks. Today the two companies announced are merging in a deal worth $5.2 billion. The combined companies will boast 2,500 customers, $720 million in revenue and $500 million in cash with no debt, according to the companies.
2015 - MapR tries to separate from Hadoop - a new advantage over Apache Cassandra
MapR is one of several companies built on the open source Hadoop platform, and as such it has a bit of competition in the space. In an effort to create some separation from its better heeled rivals, it announced a new product called MapR Streams. This new product takes a constant stream of data like feeding consumer data to advertisers to create custom offers or distributing health data to medical professionals to tailor medication or treatment options — all of this in near real-time. Streams let customers share data sources with people or machines that need to make use of that information in a subscription-style model. A maintenance program could subscribe to the data coming from the shop floor of a manufacturer and learn about usage, production, bottlenecks and wear and tear, or IT could subscribe to a data stream with log information looking for anomalies that signal maintenance issues or a security breach.
2015 - Hortonworks acquired dataflow solutions developer Onyara
Hortonworks, a publicly traded company selling a commercial distribution of the Hadoop open-source big data software, announced today that it has acquired Onyara, an early-stage startup whose employees developed Apache NiFi, a piece of open-source software that was first used inside the National Security Agency (NSA). Apache NiFi allows to to deliver sensor data to the right systems and keep track of what was happening to the data. Hortonworks, which itself spun out of Yahoo, has previously acquired XA Secure and SequenceIQ. Now Hortonworks will be selling a new subscription based on the Apache NiFi software, under the name Hortonworks DataFlow.
2015 - MapR adds Apache Drill to its Hadoop distribution
MapR announced that its Hadoop distribution now ships with Apache Drill - an open source, low latency SQL query engine for Hadoop and NoSQL. Its promise is that it makes it easier for end users to interact with data from both legacy transactional systems and new data sources, such as Internet of Things (IoT) sensors, web click-streams and other semi-structured data, along with support for popular business intelligence (BI) and data visualization tools. Apache Drill 1.0, which is now included in MapR’s distro, is free for the taking. So should a competitor, like Hortonworks, who has at least one contributor on the project, find it extremely valuable, they can engineer it into their distro as well.
2015 - MapR revamps its Hadoop platform with more real-time analytics. Beware Cloudera
The latest release of MapR enterprise-grade distributed Hadoop data platform is built for the real time, data-centric enterprise. It leverages table replication features designed to extend access to “big and fast” data enabling multiple instances to be updated in different locations, with all the changes synchronized across them. Reacting to business as it happens with the right offer is a must. Wrong offers are not only missed opportunities but put enough of them together and they could threaten a company’s viability. That’s one of the reasons why some enterprises are ditching their RDBMS and going with MapR. It offers both a top-rated NoSQL database and Hadoop in nicely bundled solution. MapR, unlike its competitors Hortonworks and Cloudera, is a software company whose aim is to make big data plug and play.
2015 - Google partners with Cloudera to bring Cloud Dataflow to Apache Spark
Google announced that it has teamed up with the Hadoop specialists at Cloudera to bring its Cloud Dataflow programming model to Apache’s Spark data processing engine. With Google Cloud Dataflow, developers can create and monitor data processing pipelines without having to worry about the underlying data processing cluster. As Google likes to stress, the service evolved out of the company’s internal tools for processing large datasets at Internet scale. Not all data processing tasks are the same, though, and sometimes you may want to run a task in the cloud or on premise or on different processing engines. With Cloud Dataflow — in its ideal state — data analysts will be able use the same system for creating their pipelines, no matter the underlying architecture they want to run them on.
2014 - MapR partners with Teradata to reach enterprise customers
The last independent Hadoop provider MapR and big data analytics provider Teradata announced that they will work together to integrate and co-develop their joint products and to create a unified go to market strategy. Teradata will also be able to resell MapR software, professional services, and provide customer support. In other words, Teradata will be the face of MapR to enterprises who use, or want to use, both technologies. Until recently Teradata partnered most closely with Hortonworks, but now it’s sharing love and its analytic market leadership with all three providers. Similarly, earlier this week, HP announced Vertica for SQL on Hadoop, which allows users to access and explore data residing in any of the three primary Hadoop distros — Hortonworks, MapR, Cloudera.
2014 - Enterprise Hadoop provider Hortonworks filed for an IPO
Hortonworks, the company building commercial Hadoop technology, has filed for its initial public offering. The company claims more than $33 million in revenue for the year thus far and nearly $88 million in operating loss. Hortonworks spun off from Yahoo in 2011. It offers a big data processing platform that includes the ability to process various types of data including SQL and NoSQL sources then search across data, or use various analytics tools to visualize the data. Hortonworks has a reputation for being a pure Hadoop offering without any proprietary extensions.
2014 - Cloudera helps to manage Hadoop on Amazon cloud
Hadoop vendor Cloudera announced a new product called Director that will make it easier for customers to manage their Hadoop clusters on the Amazon Web Services cloud. Senior Director of Product Marketing Clarke Patterson acknowledged that has not been easy to date while still maintaining the breadth of capabilities. Although there’s no difference between the cloud version and the on-premises version of the software, he added, the Director interface is designed to be self-service and includes cloud-specific capabilities such as instance-tracking so administrators can keep an eye on whose cloud instances are costing what.