Cloudera vs Hadoop

2022. Cloudera launches its all-in-one SaaS data lakehouse



Cloudera, the company that specializes in big data with a focus on Hadoop, is now shifting its focus towards becoming the unified data fabric for hybrid data platforms. Taking a step further in this direction, the company recently launched its Cloudera Data Platform (CDP) One, a data lakehouse as a service (LaaS). This managed offering aims to provide enterprises with a platform that enables self-service analytics and data access for a broader range of employees. While Databricks, known for popularizing the lakehouse concept, also offers SaaS-based solutions, Cloudera positions its service as the "first all-in-one data lakehouse SaaS offering." Cloudera emphasizes that its service combines compute, storage, machine learning, streaming analytics, and enterprise security, making it a comprehensive solution for organizations.


2018. Big Data platforms Cloudera and Hortonworks merge



Over time, Hadoop, the once-prominent open-source platform, fostered the growth of numerous companies and an ecosystem of vendors. However, the complexity associated with Hadoop posed a significant challenge. This is where companies like Hortonworks and Cloudera stepped in, offering packaged solutions for IT departments seeking the advantages of a big data processing platform without the need to build Hadoop from scratch. These companies provided various approaches to tackle the complexity, but as cloud-based big data solutions gained prominence, the notion of implementing a Hadoop system from scratch became less compelling, even with the assistance of firms like Cloudera and Hortonworks. Today, both companies have announced their merger in a deal valued at $5.2 billion. The combined entity will serve a customer base of 2,500, generate $720 million in revenue, and possess $500 million in cash reserves, all while remaining debt-free.


2015. Hortonworks acquired dataflow solutions developer Onyara



Hortonworks, a publicly traded company that offers a commercial distribution of the open-source big data software Hadoop, has announced its acquisition of Onyara, an early-stage startup known for the development of Apache NiFi. This open-source software originated within the National Security Agency (NSA) and enables efficient delivery of sensor data to appropriate systems while maintaining data tracking capabilities. In addition to previous acquisitions like XA Secure and SequenceIQ, Hortonworks has now expanded its portfolio with the intention of introducing a new subscription service based on Apache NiFi. This subscription will be marketed under the name Hortonworks DataFlow.


2015. Google partners with Cloudera to bring Cloud Dataflow to Apache Spark



Google has announced a collaboration with Cloudera, the Hadoop specialists, to integrate its Cloud Dataflow programming model into Apache's Spark data processing engine. By bringing Cloud Dataflow to Spark, developers gain the ability to create and monitor data processing pipelines without the need to manage the underlying data processing cluster. This service originated from Google's internal tools for processing large datasets at a massive scale on the internet. However, not all data processing tasks are identical, and sometimes it becomes necessary to run tasks in different environments such as the cloud, on-premises, or on various processing engines. With Cloud Dataflow, data analysts can utilize the same system to create pipelines, regardless of the underlying architecture they choose to deploy them on.


2014. MapR partners with Teradata to reach enterprise customers



The last remaining independent Hadoop provider, MapR, and the prominent big data analytics provider, Teradata, have joined forces to collaborate on integrating their respective products and developing a unified go-to-market strategy. As part of this partnership, Teradata gains the ability to resell MapR software, professional services, and provide customer support. Essentially, Teradata will act as the primary interface for enterprises that utilize or aspire to use both technologies, serving as the representative for MapR. Previously, Teradata had established a close partnership with Hortonworks, but it now extends its collaboration and analytic market leadership to all three major Hadoop providers. Similarly, earlier this week, HP unveiled Vertica for SQL on Hadoop, enabling users to access and analyze data stored in any of the three primary Hadoop distributions—Hortonworks, MapR, and Cloudera.


2014. HP plugs the Vertica analytics platform into Hadoop



HP has unveiled the introduction of Vertica for SQL on Hadoop, a significant announcement in the world of analytics. With Vertica, customers gain the ability to access and analyze data stored in any of the three primary Hadoop distributions: Hortonworks, MapR, and Cloudera, as well as any combination thereof. Given the uncertainty surrounding the dominance of a particular Hadoop flavor, many large companies opt to utilize all three. HP stands out as one of the pioneering vendors by asserting that "any flavor of Hadoop will do," a sentiment further reinforced by its $50 million investment in Hortonworks, which currently represents the favored Hadoop flavor within HAVEn, HP's analytics stack. HP's announcement not only emphasizes the platform's interoperability but also highlights its capabilities in dealing with data stored in diverse environments such as data lakes or enterprise data hubs. With HP Vertica, organizations gain a seamless solution for exploring and harnessing the value of data stored in the Hadoop Distributed File System (HDFS). The combination of Vertica's power, speed, and scalability with Hadoop's prowess in handling extensive data sets serves as an enticing proposition, potentially motivating hesitant managers to embrace big data initiatives confidently. HP's comprehensive offering provides a compelling avenue for organizations to unlock the potential of their data, urging them to venture beyond their reservations and embrace the world of big data.


2014. Enterprise Hadoop provider Hortonworks filed for an IPO



Hortonworks, the company developing commercial Hadoop technology, has submitted its initial public offering (IPO) filing. With over $33 million in revenue and an operating loss of nearly $88 million, the company has showcased its financial performance for the current year. Hortonworks emerged as a separate entity from Yahoo in 2011 and provides a comprehensive big data processing platform. This platform enables the processing of diverse data types, including SQL and NoSQL sources, and facilitates data search and visualization using various analytics tools. Hortonworks is renowned for its exclusive focus on Hadoop, offering a solution devoid of any proprietary extensions.


2014. Cloudera helps to manage Hadoop on Amazon cloud



Hadoop vendor Cloudera has unveiled a new offering named Director, aimed at simplifying the management of Hadoop clusters on the Amazon Web Services (AWS) cloud. Clarke Patterson, Senior Director of Product Marketing, acknowledged the challenges faced by customers in managing Hadoop clusters while maintaining extensive capabilities. He emphasized that there is no difference between the cloud version and the on-premises version of the software. However, the Director interface has been specifically designed to be self-service, incorporating cloud-specific features like instance-tracking. This enables administrators to monitor the cost associated with each cloud instance, ensuring better cost management.


2014. Cloudera bought data-visualization startup DataPad



Cloudera, a cloud-based big data platform, has acquired DataPad, a data-visualization startup specializing in Python-based data analysis. This move by Cloudera is aimed at strengthening its Python tooling to attract more data scientists and developers, given the increasing competition in the Hadoop market. The co-founders of DataPad, who are well-known in the data science community for their development of the Python-based data analysis library Pandas, make this acquisition even more significant. In the commercial Hadoop market, where billions of dollars are at stake, companies like Cloudera, Hortonworks, MapR, and Pivotal are all vying to capture as many users as possible for their Hadoop distributions and big data infrastructure. Expanding the user base beyond IT staff and systems architects to include application developers and data analysts within the company is an effective strategy to ensure widespread adoption of their offerings.


2014. HP invests $50 million in Hortonworks



Cloud-based Big Data platforms Hortonworks and Cloudera are renowned for offering commercial versions and enhancements to Apache Hadoop. These two companies have been engaging in a battle of big-name tech investors in recent times. Cloudera has secured investments from notable entities such as Intel, Google Ventures, and In-Q-Tel. On the other hand, Hortonworks has garnered support from Yahoo and HP. The latest development occurred when HP invested $50 million in Hortonworks, and HP's CTO Martin Fink joined the Hortonworks board. This investment builds upon an existing agreement that allows HP to resell Hortonworks Data Platform to its customers. In a statement, Hortonworks CEO Rob Bearden emphasized that this collaboration will expedite the transition of our joint customers to a modern data architecture.