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DBMS > AnzoGraph DB vs. Cubrid vs. Hypertable vs. KeyDB

System Properties Comparison AnzoGraph DB vs. Cubrid vs. Hypertable vs. KeyDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCubrid  Xexclude from comparisonHypertable  Xexclude from comparisonKeyDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPAn open source BigTable implementation based on distributed file systems such as HadoopAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelGraph DBMS
RDF store
Relational DBMSWide column storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Websitecambridgesemantics.com/­anzographcubrid.com (korean)
cubrid.org (english)
github.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcubrid.org/­manualsdocs.keydb.dev
DeveloperCambridge SemanticsCUBRID Corporation, CUBRID FoundationHypertable Inc.EQ Alpha Technology Ltd.
Initial release2018200820092019
Current release2.3, January 202111.0, January 20210.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaC++C++
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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.nonono
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansyes infoby using the Redis Search module
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesnono
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
JDBC
ODBC
OLE DB
C++ API
Thrift
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesC++
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
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
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored ProceduresnoLua
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationselectable replication factor on file system levelMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityno infonot needed in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnosimple password-based access control and ACL

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More resources
AnzoGraph DBCubridHypertableKeyDB
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