MapR

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MapR topic overview

The analysis highlights History, Companies, Art and Technology as prominent areas in the source structure around MapR.

Related topics: 29
Source areas: 3
Connected nodes: 32
Extracted relationships: 41
Concept neighborhoods: 21
Bridge connections: 32

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 14 topics

Funding · 10 topics

History · 5 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Founded: June 2009; 17 years ago (2009-06)
Industry: Business software
Headquarters: Santa Clara, California, United States of America
Fate: Acquired by Hewlett Packard Enterprise in August 2019
Founder: M.C Srivas, John Schroeder
Key people: John Schroeder (CEO and Chairman of the Board) MC Srivas (co-founder and former CTO)

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How MapR connects Entity context

The extracted context around MapR shows recurring relationship patterns in the source. For example, MapR → August, EMC Corporation, Google, Google Capital, Greenspring Associates, In June, In May, Informatica, Lightspeed Venture Partners, Mayfield Fund, New Enterprise Associates, Qualcomm Ventures, Redpoint Ventures, Veoh Another extracted example is MapR → Amazon Web Services, Amazon's Elastic MapReduce, Apache Hadoop, Apache Hive, Apache ZooKeeper, EMC Corporation, EMC-specific, EMR, Google's Compute, HBase, Pig, The. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Funding · 14

MapR → August, EMC Corporation, Google, Google Capital, Greenspring Associates, In June, In May, Informatica, Lightspeed Venture Partners, Mayfield Fund, New Enterprise Associates, Qualcomm Ventures, Redpoint Ventures, Veoh

related to history · 12

MapR → Amazon Web Services, Amazon's Elastic MapReduce, Apache Hadoop, Apache Hive, Apache ZooKeeper, EMC Corporation, EMC-specific, EMR, Google's Compute, HBase, Pig, The

Fate · 1

MapR → Acquired by Hewlett Packard Enterprise in August 2019

Founded · 1

MapR → June 2009; 17 years ago (2009-06)

Founder · 1

MapR → M.C Srivas, John Schroeder

Headquarters · 1

MapR → Santa Clara, California, United States of America

Industry · 1

MapR → Business software

Key people · 1

MapR → John Schroeder (CEO and Chairman of the Board) MC Srivas (co-founder and former CTO)

Number of locations · 1

MapR → 10

Products · 1

MapR → Converged Data Platform, Apache Hadoop Distribution

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

company apache software hadoop enterprise technology funding august 2019 also business santa clara california data hewlett packard lightspeed venture partners

MapR relationships Subject–Predicate–Object triples

TTTA extracted 41 structured relationships around MapR. Examples in this analysis include MapR → Fate → Acquired by Hewlett Packard Enterprise in August 2019 and MapR → Founded → June 2009; 17 years ago (2009-06). The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
MapR	Fate	Acquired by Hewlett Packard Enterprise in August 2019	1.00	infobox
MapR	Founded	June 2009; 17 years ago (2009-06)	1.00	infobox
MapR	Founder	M.C Srivas, John Schroeder	1.00	infobox
MapR	Headquarters	Santa Clara, California, United States of America	1.00	infobox
MapR	Industry	Business software	1.00	infobox
MapR	Key people	John Schroeder (CEO and Chairman of the Board) MC Srivas (co-founder and former CTO)	1.00	infobox
MapR	Number of locations	10	1.00	infobox
MapR	Products	Converged Data Platform, Apache Hadoop Distribution	1.00	infobox
Apache Hadoop	instance of	including big data workloads	0.80	text
Apache Spark	instance of	including big data workloads	0.80	text
a distributed file system	instance of	including big data workloads	0.80	text
a multi-model database management system	instance of	including big data workloads	0.80	text

Related concept clusters Concept neighborhoods

The concept neighborhoods around MapR bring nearby vocabulary together. In this analysis, examples include Funding, Hadoop and Software. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

MapR
- Funding
- Hadoop
- Software
- Apache
- California
- Clara
- Corporation
- Data
- Distribution
- Emc
- Google
- June
mapr
- Funding
- Hadoop
- Software
- Apache
- California
- Clara
- Corporation
- Data
- Distribution
- Emc
- Google
- June
business software
- California
- Clara
- Santa
- Software
- Company
- Data
- Distribution
- Hewlett
- June
- Million
- New
- Packard
apache hadoop
- Hadoop
- Distribution
- Software
- Data
- Mapr
- Analytics
- Company
- Real-time
- Corporation
- Emc
- Hewlett
- June
apache spark
- Hadoop
- Software
- Data
- Distribution
- Company
- Mapr
- Analytics
- Real-time
- Business
- California
- Clara
- Corporation
new enterprise associates
- Hewlett
- New
- Packard
- Partners
- Venture
- Associates
- Enterprise
- Lightspeed
- Platform
- Redpoint
- Santa
- Ventures
apache hive
- Hadoop
- Software
- Data
- Distribution
- Company
- Mapr
- Analytics
- Real-time
- Business
- California
- Clara
- Corporation
apache zookeeper
- Hadoop
- Software
- Data
- Distribution
- Company
- Mapr
- Analytics
- Real-time
- Business
- California
- Clara
- Corporation

Connections between topic areas Semantic bridges

For MapR, one of the stronger structural bridges in this analysis connects MapR with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

MapR — Overview · splits 18 ⟂ 15

MapR — Funding · splits 22 ⟂ 11

MapR — History · splits 27 ⟂ 6

Map overview Semantic statistics

MapR

Nodes33

Edges32

Triples41

Avg. degree1.94

Density0.060606

Components1

Source & methodology

TTTA analyzes the structure around MapR to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Art & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — MapR · EN edition · Analysis: TopicsToTalkAbout