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DBMS > Altibase vs. CockroachDB vs. HarperDB vs. OrientDB vs. Tkrzw

System Properties Comparison Altibase vs. CockroachDB vs. HarperDB vs. OrientDB vs. Tkrzw

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonCockroachDB  Xexclude from comparisonHarperDB  Xexclude from comparisonOrientDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSCockroachDB 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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Multi-model DBMS (Document, Graph, Key/Value)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSRelational DBMSDocument storeDocument store
Graph DBMS
Key-value store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitealtibase.comwww.cockroachlabs.comwww.harperdb.ioorientdb.orgdbmx.net/­tkrzw
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualswww.cockroachlabs.com/­docsdocs.harperdb.io/­docswww.orientdb.com/­docs/­last/­index.html
DeveloperAltibaseCockroach LabsHarperDBOrientDB LTD; CallidusCloud; SAPMikio Hirabayashi
Initial release19992015201720102020
Current releasev7.3, 2023, August 202324.1.0, May 20243.1, August 20213.2.29, March 20240.9.3, August 2020
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0, commercial license availablecommercial infofree community edition availableOpen Source infoApache version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++GoNode.jsJavaC++
Server operating systemsAIX
HP-UX
Linux
Linux
macOS
Windows
Linux
OS X
All OS with a Java JDK (>= JDK 6)Linux
macOS
Data schemeyesdynamic schemadynamic schemaschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")schema-free
Typing infopredefined data types such as float or dateyesyesyes infoJSON data typesyesno
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.nonononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI SQL-92yes, wire compatible with PostgreSQLSQL-like data manipulation statementsSQL-like query language, no joinsno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
JDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C++
Java
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresstored procedures and stored functionsnoCustom Functions infosince release 3.1Java, Javascriptno
TriggersyesnonoHooksno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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 RAFTA table resides as a whole on one (or more) nodes in a clusterShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTyes infothe nodes on which a table resides can be definedMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocould be achieved with distributed queriesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes inforelationship in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAccess rights for users and rolesAccess rights for users and roles; record level security configurableno

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