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Volt Active Data (formerly VoltDB) is an in-memory database designed by Michael Stonebraker, Sam Madden, and Daniel Abadi. That team had started an experimental version called H-Store while working at a set of US universities.
The analysis highlights History and Art as prominent areas in the source structure around VoltDB.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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The extracted context around VoltDB shows recurring relationship patterns in the source. For example, VoltDB → Internally, Java, NewSQL OLTP, SQL, Stored, VoltProcedure Another extracted example is VoltDB → CPU, DR, March, VMC, VoltDB Management Center. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
data h-store database introduced stored volt java system transaction sql shared-nothing procedures management version stonebraker architecture procedure processing single partition
TTTA extracted 20 structured relationships around VoltDB. Examples in this analysis include VoltDB → Developer → Volt Active Data and VoltDB → License → GNU Affero General Public License v3, VoltDB Proprietary License. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| VoltDB | Developer | Volt Active Data | 1.00 | infobox |
| VoltDB | License | GNU Affero General Public License v3, VoltDB Proprietary License | 1.00 | infobox |
| VoltDB | Operating system | Linux, macOS | 1.00 | infobox |
| VoltDB | Platform | Java | 1.00 | infobox |
| VoltDB | Release | May 25, 2010 (2010-05-25) | 1.00 | infobox |
| VoltDB | Stable release | 11.3 / April 21, 2022; 4 years ago (2022-04-21) | 1.00 | infobox |
| VoltDB | Type | RDBMS | 1.00 | infobox |
| VoltDB | Website | voltactivedata.com | 1.00 | infobox |
| VoltDB | Written in | Java, C++ | 1.00 | infobox |
| VoltDB | related to Architecture | NewSQL OLTP | 0.60 | section |
| VoltDB | related to Architecture | SQL | 0.60 | section |
| VoltDB | related to Architecture | Java | 0.60 | section |
The concept neighborhoods around VoltDB bring nearby vocabulary together. In this analysis, examples include Retrieved, Introduced and Version. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For VoltDB, one of the stronger structural bridges in this analysis connects VoltDB 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.
TTTA analyzes the structure around VoltDB to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Art, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — VoltDB · EN edition · Analysis: TopicsToTalkAbout
