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DBMS > CockroachDB vs. KeyDB vs. OceanBase vs. TigerGraph

System Properties Comparison CockroachDB vs. KeyDB vs. OceanBase vs. TigerGraph

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonKeyDB  Xexclude from comparisonOceanBase  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA distributed, high available RDBMS compatible with Oracle and MySQLA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSKey-value storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score1.66
Rank#147  Overall
#68  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.cockroachlabs.comgithub.com/­Snapchat/­KeyDB
keydb.dev
en.oceanbase.comwww.tigergraph.com
Technical documentationwww.cockroachlabs.com/­docsdocs.keydb.deven.oceanbase.com/­docs/­oceanbase-databasedocs.tigergraph.com
DeveloperCockroach LabsEQ Alpha Technology Ltd.OceanBase infopreviously Alibaba and Ant Group
Initial release2015201920102017
Current release24.1.0, May 20244.3.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoBSD-3Open Source infoCommercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++C++
Server operating systemsLinux
macOS
Windows
LinuxLinuxLinux
Data schemedynamic schemaschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonoyesno
Secondary indexesyesyes infoby using the Redis Search moduleyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyesSQL-like query language (GSQL)
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
C++
Java
Server-side scripts infoStored proceduresnoLuaPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyes
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardinghorizontal partitioning (by hash, key, range, range columns, list, and list columns)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replication
Source-replica replication
Multi-source replication using Paxos
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRole-based access controlsimple password-based access control and ACLAccess rights for users, groups and roles according to SQL-standardRole-based access control

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More resources
CockroachDBKeyDBOceanBaseTigerGraph
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