Hadoop Big Data Analytics Companies

Competitive Landscape of Hadoop Big Data Analytics Market

The Hadoop Big Data Analytics market is a vibrant space with established players and new entrants vying for a share of the lucrative pie. This market report delves into the competitive landscape, highlighting key players, strategies adopted, factors for market share analysis, and emerging trends.

Key Players in the Market:

• Alteryx Inc.


• Fair, Isaac, and Company(FICO)


• IBM Corporation


• Microsoft Corporation


• Micro Strategy Incorporated


• SAS Institute Inc.


• Tibco Software


• Amazon Inc. (AWS)


• Cloudera


• QLIK Tech International


• SISENSE Inc.


• Dell Technologies


• Hitachi Consulting


• Hewlett Packard Company


• Splunk Inc.

Strategies Adopted by Key Players:

The competitive landscape is characterized by various strategies adopted by key players to maintain their market share and gain an edge over competitors. These strategies include:

• Innovation: Continuous development of new features and functionalities for their Hadoop offerings.


• Partnerships: Collaborations with other technology companies to offer more comprehensive solutions.


• Cloud-based solutions: Increasing focus on managed Hadoop services on cloud platforms.


• Open source contributions: Active participation in the open-source Hadoop community.


• Vertical-specific solutions: Developing tailored solutions for specific industry needs.


• Acquisitions: Merging with or acquiring smaller companies to expand technology portfolio and market reach.

Factors for Market Share Analysis:

Several factors are considered when analyzing the market share of different players in the Hadoop Big Data Analytics market:

• Revenue: Total revenue generated from Hadoop-related products and services.


• Customer base: Number of active customers using the company's Hadoop solutions.


• Market share: Percentage of the total market revenue held by the company.


• Geographical reach: Availability of the company's solutions in different regions and countries.


• Brand recognition: Reputation and recognition of the company within the Hadoop community.

New and Emerging Companies:

Several new and emerging companies are entering the Hadoop Big Data Analytics market, offering innovative solutions and challenging the dominance of established players. Some notable examples include:

• MapR Technologies: Provides a Hadoop distribution focused on high performance and scalability.


• HPE Ezmeral: Offers a comprehensive data platform that includes Hadoop and other big data technologies.


• DataStax: Provides a distributed NoSQL database platform compatible with Hadoop.


• Databricks: Offers a unified analytics platform that combines Spark and Hadoop.


• Snowflake: Provides a cloud-based data warehouse platform that integrates with Hadoop.

Current Company Investment Trends:

Companies operating in the Hadoop Big Data Analytics market are actively investing in several key areas, including:

• Artificial intelligence (AI) and machine learning (ML): Integrating AI and ML capabilities into their Hadoop platforms to automate tasks and provide deeper insights.


• Cloud computing: Expanding their cloud-based offerings to cater to the growing demand for flexible and scalable solutions.


• Data security and privacy: Enhancing security and privacy features of their Hadoop platforms to meet stringent regulatory requirements.


• Data governance: Providing comprehensive data governance solutions to ensure data quality and compliance.


• Open-source collaboration: Contributing to open-source projects to drive innovation and community growth.

Latest Company Updates:

September 2023-

Hortonworks has recently announced that Apache Spark, the technology promptly gaining interest for the in-memory-accelerated ML and the other analyses on the high-scale data, in fact has been certified for running on Apache YARN, a resource-management layers which had been launched with Apache Hadoop 2.0 last year. Following this milestone, Spark now is all set in running as the technology preview on HDP or Hortonworks Data Platform that is the Hadoop software distribution of Hortonworks. A production-certified release in fact is expected via this fall.

Now Spark is integrated into Hadoop natively so its resources- memory, CPU and so on could be managed together with other workloads that run on the Hadoop cluster. The entire point of YARN and Hadoop 2.0 is in being capable of running multiple workloads comprising Solr, Storm, Pig, MapReduce, Hive, Accumulo, and Spark lately against those same data sets. Following the designation of the Apache Spark as YARN Ready, organizations can indeed be rest assured that Spark could run effectively and simultaneously with the other mission-critical applications.

December 2022-

Alteryx’s has declared an investment recently in MANTA, a data lineage organization, on the strategic level. Organizations might obtain full visibility into a highly complicated data environment; the credit goes to MANTA. The two companies make an end-to-end system which allows businesses in comprehending data lineage in complete detail, comprising how the data flows inside a company, where this came from, how this is processed, & how this is analysed. MANTA will strengthen product innovation, expand in vital regions, and broaden partner network.