
MapR Technologies
Founded Year
2009Stage
Acquired | AcquiredTotal Raised
$376.94MAbout MapR Technologies
MapR Technologies is an enterprise software company. MapR provides the MapR Converged Data Platform, which consists of MapR-FS, a file system; MapR-DB, a NoSQL database; MapR Streams, a global event streaming system; Apache Drill, a large-scale ANSI SQL engine; an Apache Hadoop distribution; an Apache Spark distribution; and a set of data management tools. Combining analytics in real-time with operational applications, the MapR Platform runs on both commodity hardware and public cloud infrastructures.
Expert Collections containing MapR Technologies
Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.
MapR Technologies is included in 1 Expert Collection, including Tech IPO Pipeline.
Tech IPO Pipeline
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MapR Technologies Patents
MapR Technologies has filed 14 patents.
The 3 most popular patent topics include:
- Data management
- Distributed file systems
- Network file systems

Application Date | Grant Date | Title | Related Topics | Status |
---|---|---|---|---|
11/13/2018 | 8/15/2023 | Parallel computing, Disk file systems, Cluster computing, Distributed file systems, Computer memory | Grant |
Application Date | 11/13/2018 |
---|---|
Grant Date | 8/15/2023 |
Title | |
Related Topics | Parallel computing, Disk file systems, Cluster computing, Distributed file systems, Computer memory |
Status | Grant |
Latest MapR Technologies News
Nov 21, 2022
TechBullion As per the report published by Fior Markets, the global big data security market size is projected to grow from USD 14.8 billion in 2020 to USD 31.50 billion by 2028, recording a Compound Annual Growth Rate (CAGR) of 9.9% from 2021 to 2028. The big data security market is witnessing significant growth in the past years. The expansion of the big data security market is being driven by improvements in IoT and other intelligence devices, a burgeoning e-commerce industry, and changing regulatory environments. The market’s growth is being hampered by the danger of data security connected with IoT and cloud platforms. Big data security is referred to as taking care of pets staying at house as a family member. Pets help with emotional support, reduce stress levels, increase social activities, and also provide companionship. Pets can be of various forms, such as dogs, cats, and birds. They also help in an extraordinarily diverse range of activities; therapy dogs are taken to hospitals, nursing homes, and care centers for the disabled to engage with patients and help them more sociable. The important aspect of big data security is to ensure that the pet is well-trained and has proper socializing. The global big data security market is expected to witness significant growth. The fast rise in the volume of company data, escalating cyber-attacks and data breaches, and increasing demand for high-security solutions are all contributing to the market’s growth. Some of the main issues likely to stymie this market’s growth in the next years are a lack of security knowledge and qualified employees. Organizations’ investments in data security and the hiring of data security specialists will provide market growth opportunities. Key players operating in the global big data security market include IBM, Pivotal Software, Thales E-security, Fortinet, Centrify, Cloudera, Hewlett Packard Enterprise AWS, Hortonworks, McAfee, Symantec, Check Point Software Technologies, Gemalto, Imperva. To gain a significant market share in the global big data security market, vendors are gaining a competitive advantage through continual technical improvements and investments in new products to decrease harmful assaults. IBM and Pivotal Software are some of the key manufacturers operating in the big data security market. For instance, in July 2020: Google Cloud introduced two new security services for governments Confidential VMs and Assured Workloads, which give clients with sophisticated security features to support compliance and data confidentiality. In August 2019, HPE bought MapR Technologies to expand its Intelligent Data Platform. The on-premises segment dominated the market and held the largest market share of 71% in the year 2020 Based on deployment, the global big data security market is segmented into cloud-based, and on-premises. The on-premises segment dominated the market and held the largest market share of 71% in the year 2020. The increase in the frequency of cloud cyber-attacks and competitiveness among SMEs are two significant reasons driving the segment’s growth. The large enterprise segment dominated the market and held the largest market share of 65.15% in the year 2020 On the basis of organization size, the global big data security market is segmented into large enterprises and SMEs. The large enterprise segment dominated the market and held the largest market share of 65.15% in the year 2020. Large companies are changing their security policies and architecture to include big data to safeguard vital assets from diverse cyber-attacks. Large businesses substantially use big data security to defend the network, endpoints, data centers, devices, users, and apps against unauthorized usage and harmful ransomware assaults.
MapR Technologies Frequently Asked Questions (FAQ)
When was MapR Technologies founded?
MapR Technologies was founded in 2009.
Where is MapR Technologies's headquarters?
MapR Technologies's headquarters is located at 4555 Great America Pkwy, Santa Clara.
What is MapR Technologies's latest funding round?
MapR Technologies's latest funding round is Acquired.
How much did MapR Technologies raise?
MapR Technologies raised a total of $376.94M.
Who are the investors of MapR Technologies?
Investors of MapR Technologies include Hewlett Packard Enterprise, New Enterprise Associates, Lightspeed Venture Partners, CapitalG, Redpoint Ventures and 8 more.
Who are MapR Technologies's competitors?
Competitors of MapR Technologies include Databricks, 1010data, DataStax, Cloudera, Treasure Data and 15 more.
Compare MapR Technologies to Competitors

DataStax operates as a data company allowing enterprises to mobilize data. The company offers Luna, a subscription-to-success product with open-source Apache Cassandra, Luna Streaming, a subscription-to-success product with open-source Apache Pulsar, and more. The company's solutions are used by customers across different industries, such as banking, education, financial services, technology, travel, and more. DataStax was founded in 2010 and is based in Santa Clara, California.

Datameer offers an agile analytics lifecycle platform that enables enterprises to unlock the value of all their data. Without any code, teams can rapidly integrate, transform, discover, and operationalize datasets to their projects. Datameer breaks down data siloes, gets companies ahead of their data demands, and empowers everyone to discover insights.

Appistry, fka Tsunami Research, offers a cloud application platform for data intensive applications. Appistry weaves together high-performance computing and analytics to provide the throughput and scale required for diverse applications-from discovering new medical therapies to delivering overnight packages, gaining clarity from financial transactions, or deciphering military satellite images.

Treasure Data offers a cloud-based enterprise customer data platform. It lets non-specialists get value out of data without a big information technology (IT) overhead. It provides the ability to aggregate and translate massive volumes of scattered and siloed data. The company was founded in 2011 and is based in Mountain View, California. In July 2018, Treasure Data was acquired by Arm.

Splice Machine provides machine-learning solutions and deploys artificial intelligence (AI) applications. It helps to predict outcomes in real-time, enabling better decisions at the moment for industrial, financial, and healthcare companies. The company was founded in 2012 and is based in San Francisco, California.

Databricks provides a unified analytics platform. It offers a collaborative solution for the machine learning lifecycle such as featurization production and also provides data analytic services to simplify data integration. It serves financial services, healthcare and life sciences, manufacturing, communications, media and entertainment, and public sector. Databricks was founded in 2013 and is based in San Francisco, California.