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RocksDB: History & Applications

RocksDB is a high performance embedded database for key-value data. It is a fork of Google's LevelDB optimized to exploit multi-core processors (CPUs), and make efficient use of fast storage, such as solid-state drives (SSD), for input/output (I/O) bound workloads. It is based on a log-structured merge-tree (LSM tree) data structure. It is written in C++…

Language: English [EN]
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RocksDB topic overview

The analysis highlights History and Applications as prominent areas in the source structure around RocksDB.

Related topics
67
Source areas
6
Connected nodes
73
Extracted relationships
27
Concept neighborhoods
23
Bridge connections
73

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 · 35 topics
Third-party language bindings · 16 topics
Features · 12 topics
Notable users · 2 topics
History · 1 topics
Integration · 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.

Developers
Meta Platforms (was Facebook, Inc.)
License
Apache 2.0 or GPL 2
Operating system
Windows, macOS, Linux, FreeBSD, OpenBSD, Solaris, AIX
Original author
Dhruba Borthakur
Platform
Cross-platform
Release
May 2012; 14 years ago (2012-05)

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

Features

History

Integration

Third-party language bindings

Notable users

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 RocksDB connects Entity context

The extracted context around RocksDB shows recurring relationship patterns in the source. For example, RocksDB → April, Dhruba Borthakur, Facebook, LevelDB Another extracted example is RocksDB → As, DBMS, For, Rockset. Use these groups to spot repeated connection types before inspecting the individual relationships.

RocksDB

Top relations

related to history · 4
RocksDB → April, Dhruba Borthakur, Facebook, LevelDB
related to Integration · 4
RocksDB → As, DBMS, For, Rockset
related to Third-party language bindings · 4
RocksDB → CC, Chicken SchemeDElixirErlangGoHaskellJavaKotlinNode, SwiftOCamlPerlPHPPrologPythonRubyRust, Third-party
Developers · 1
RocksDB → Meta Platforms (was Facebook, Inc.)
License · 1
RocksDB → Apache 2.0 or GPL 2
Operating system · 1
RocksDB → Windows, macOS, Linux, FreeBSD, OpenBSD, Solaris, AIX
Original author · 1
RocksDB → Dhruba Borthakur
Platform · 1
RocksDB → Cross-platform
Release · 1
RocksDB → May 2012; 14 years ago (2012-05)
Repository · 1
RocksDB → github.com/facebook/rocksdb

Important terminology

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

Important terminology

storage engine database uses data apache bindings leveldb license project used language facebook embedded use key-value myrocks store provides java

RocksDB relationships Subject–Predicate–Object triples

TTTA extracted 27 structured relationships around RocksDB. Examples in this analysis include RocksDB → Developers → Meta Platforms (was Facebook, Inc.) and RocksDB → License → Apache 2.0 or GPL 2. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
RocksDBDevelopersMeta Platforms (was Facebook, Inc.)1.00infobox
RocksDBLicenseApache 2.0 or GPL 21.00infobox
RocksDBOperating systemWindows, macOS, Linux, FreeBSD, OpenBSD, Solaris, AIX1.00infobox
RocksDBOriginal authorDhruba Borthakur1.00infobox
RocksDBPlatformCross-platform1.00infobox
RocksDBReleaseMay 2012; 14 years ago (2012-05)1.00infobox
RocksDBRepositorygithub.com/facebook/rocksdb1.00infobox
RocksDBStable release10.2.1 / 24 April 20251.00infobox
RocksDBTypeEmbedded database1.00infobox
RocksDBWebsiterocksdb.org1.00infobox
RocksDBWritten inC++1.00infobox
RocksDBis ahigh performance embedded database for key-value data0.90text

Related concept clusters Concept neighborhoods

The concept neighborhoods around RocksDB bring nearby vocabulary together. In this analysis, examples include Engine, Storage and Uses. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • RocksDB
    • Engine
    • Storage
    • Uses
    • Used
    • Use
    • Project
    • Arangodb
    • Mongodb
    • Rockset
    • Since
    • Systems
    • Facebook
  • rocksdb
    • Engine
    • Storage
    • Uses
    • Used
    • Use
    • Project
    • Arangodb
    • Mongodb
    • Rockset
    • Since
    • Systems
    • Facebook
  • embedded database
    • Database
    • Embedded
    • Rocksdb
    • Engine
    • Storage
    • Data
    • Arangodb
    • Mongodb
    • Mysql
    • Performance
    • Rockset
    • Stores
  • graph database
    • Embedded
    • Rocksdb
    • Engine
    • Storage
    • Arangodb
    • Mysql
    • Systems
    • Uses
    • Key-value
    • Leveldb
    • Use
    • Project
  • relational data model
    • Rockset
    • Embedded
    • Stores
    • Key-value
    • Used
    • Rocksdb
    • Database
    • Uses
    • Based
    • Arangodb
    • Mongodb
    • Mysql
  • database
    • Embedded
    • Rocksdb
    • Engine
    • Storage
    • Arangodb
    • Mysql
    • Systems
    • Uses
    • Key-value
    • Leveldb
    • Use
    • Project
  • leveldb
    • Workloads
    • Facebook
    • Use
    • Based
    • Arangodb
    • Mongodb
    • Mysql
    • Performance
    • Rocksdb
    • Rockset
    • Stores
    • Support
  • language bindings
    • Bindings
    • Language
    • Third-party
    • Java
    • Written
    • Go
    • Official
    • Arangodb
    • Mongodb
    • Mysql
    • Rockset
    • Stores

Connections between topic areas Semantic bridges

For RocksDB, one of the stronger structural bridges in this analysis connects RocksDB 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
RocksDB — Overview · splits 38 ⟂ 36
RocksDB — Third-party language bindings · splits 57 ⟂ 17
RocksDB — Features · splits 61 ⟂ 13
RocksDB — Notable users · splits 71 ⟂ 3

Map overview Semantic statistics

RocksDB

Nodes74
Edges73
Triples27
Avg. degree1.97
Density0.027027
Components1

Source & methodology

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

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

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