Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

DataStax: History, Technology, Companies & Products

DataStax, Inc. is a real-time data for AI company based in Santa Clara, California. Its product Astra DB is a cloud database-as-a-service based on Apache Cassandra. DataStax also offers DataStax Enterprise (DSE), an on-premises database built on Apache Cassandra, and Astra Streaming, a messaging and event streaming cloud service based on Apache Pulsar.…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

DataStax topic overview

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

Related topics
31
Source areas
4
Connected nodes
35
Extracted relationships
68
Concept neighborhoods
14
Bridge connections
35

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.

History · 15 topics
Products · 11 topics
Overview · 4 topics
Funding and IPO · 1 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.

Genre
Multi-Model DBMS
Founded
April 2010
Industry
Database Technologies
Headquarters
Santa Clara, CA, United States
Founder
Jonathan Ellis · Matt Pfeil
Key people
Chet Kapoor (CEO) · Davor Bonaci (CTO) · Ed Anuff (CPO) · Don Dixon (CFO) · Brad Gyger (CRO)

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.

Overview

History

Products

Funding and IPO

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 DataStax connects Entity context

The extracted context around DataStax shows recurring relationship patterns in the source. For example, DataStax → Apache, Apache Cassandra, Austin, California, Cassandra, DataStax Enterprise, DSE, Ellis, Facebook, In, Jonathan Ellis, Matt Pfeil, NoSQL, Pfeil, Rackspace, Riptano, Santa Clara, Texas, The Another extracted example is DataStax → Amazon Web Services, Apache Pulsar, Astra DB, Astra DB CDC, CDC, Google Cloud Platform, In February, In March, Microsoft Azure, Starlight. Use these groups to spot repeated connection types before inspecting the individual relationships.

DataStax

Top relations

related to history · 19
DataStax → Apache, Apache Cassandra, Austin, California, Cassandra, DataStax Enterprise, DSE, Ellis, Facebook, In, Jonathan Ellis, Matt Pfeil, NoSQL, Pfeil, Rackspace, Riptano, Santa Clara, Texas, The
related to Astra DB · 10
DataStax → Amazon Web Services, Apache Pulsar, Astra DB, Astra DB CDC, CDC, Google Cloud Platform, In February, In March, Microsoft Azure, Starlight
related to Funding and IPO · 9
DataStax → DataStax CEO Chet Kapoor, However, In, In September, IPO, June, Mergermarket, On June, Series
related to DSE · 8
DataStax → Cassandra, DataStax Enterprise, DataStax Enterprise Graph, DSE, In April, It, October, Version
Key people · 7
DataStax → Brad Gyger (CRO), Chet Kapoor (CEO), Chris Vogel (CPO), Davor Bonaci (CTO), Don Dixon (CFO), Ed Anuff (CPO), Jason McClelland (CMO)
Founder · 2
DataStax → Jonathan Ellis, Matt Pfeil
Founded · 1
DataStax → April 2010
Genre · 1
DataStax → Multi-Model DBMS
Headquarters · 1
DataStax → Santa Clara, CA, United States
Industry · 1
DataStax → Database Technologies

Important terminology

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

Important terminology

astra data company db dse apache cassandra cloud 2023 announced streaming database ai service released based june 2022 open source

DataStax relationships Subject–Predicate–Object triples

TTTA extracted 68 structured relationships around DataStax. Examples in this analysis include DataStax → Founded → April 2010 and DataStax → Founder → Jonathan Ellis. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
DataStaxFoundedApril 20101.00infobox
DataStaxFounderJonathan Ellis1.00infobox
DataStaxFounderMatt Pfeil1.00infobox
DataStaxGenreMulti-Model DBMS1.00infobox
DataStaxHeadquartersSanta Clara, CA, United States1.00infobox
DataStaxIndustryDatabase Technologies1.00infobox
DataStaxKey peopleChet Kapoor (CEO)1.00infobox
DataStaxKey peopleDavor Bonaci (CTO)1.00infobox
DataStaxKey peopleEd Anuff (CPO)1.00infobox
DataStaxKey peopleDon Dixon (CFO)1.00infobox
DataStaxKey peopleBrad Gyger (CRO)1.00infobox
DataStaxKey peopleJason McClelland (CMO)1.00infobox
DataStaxKey peopleChris Vogel (CPO)1.00infobox
DataStaxNumber of employees800+ (June 2022)1.00infobox
DataStaxTypePrivate1.00infobox
DataStaxWebsitewww.datastax.com1.00infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around DataStax bring nearby vocabulary together. In this analysis, examples include Dse, Announced and Astra. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • DataStax
    • Dse
    • Announced
    • Astra
    • Released
    • Cassandra
    • Db
    • Enterprise
    • Database
    • Open
    • Source
    • April
    • May
  • datastax
    • Dse
    • Announced
    • Astra
    • Released
    • Cassandra
    • Db
    • Enterprise
    • Database
    • Open
    • Source
    • April
    • May
  • apache cassandra
    • Pulsar
    • Released
    • Cassandra
    • Database
    • Dse
    • Streaming
    • Data
    • Enterprise
    • Datastax
    • Open
    • Source
    • Also
  • apache pulsar
    • Pulsar
    • Cassandra
    • Streaming
    • Data
    • Service
    • Also
    • Cloud
    • Astra
    • Dse
    • Based
    • Enterprise
    • Db
  • large data sets
    • Streaming
    • Apache
    • Developers
    • Platform
    • Astra
    • Ai
    • Db
    • Datastax
    • Company
    • Released
    • Cloud
    • Announced
  • apache kafka
    • Pulsar
    • Cassandra
    • Streaming
    • Data
    • Also
    • Cloud
    • Astra
    • Dse
    • Based
    • Enterprise
    • Db
    • Database
  • data integration
    • Streaming
    • Apache
    • Developers
    • Platform
    • Astra
    • Ai
    • Db
    • Datastax
    • Company
    • Released
    • Cloud
    • Announced
  • google cloud platform
    • Service
    • Streaming
    • Db
    • New
    • Database
    • Dse
    • Enterprise
    • June
    • Search
    • Data
    • Platform
    • Released

Connections between topic areas Semantic bridges

For DataStax, one of the stronger structural bridges in this analysis connects DataStax with History. 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
DataStax — History · splits 20 ⟂ 16
DataStax — Products · splits 24 ⟂ 12
DataStax — Overview · splits 31 ⟂ 5

Map overview Semantic statistics

DataStax

Nodes36
Edges35
Triples68
Avg. degree1.94
Density0.055556
Components1

Source & methodology

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

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

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.