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DBMS > AnzoGraph DB vs. Cubrid vs. Hypertable vs. Lovefield vs. WakandaDB

System Properties Comparison AnzoGraph DB vs. Cubrid vs. Hypertable vs. Lovefield vs. WakandaDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonCubrid  Xexclude from comparisonHypertable  Xexclude from comparisonLovefield  Xexclude from comparisonWakandaDB  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 HadoopEmbeddable relational database for web apps written in pure JavaScriptWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelGraph DBMS
RDF store
Relational DBMSWide column storeRelational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitecambridgesemantics.com/­anzographcubrid.com (korean)
cubrid.org (english)
google.github.io/­lovefieldwakanda.github.io
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmcubrid.org/­manualsgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwakanda.github.io/­doc
DeveloperCambridge SemanticsCUBRID Corporation, CUBRID FoundationHypertable Inc.GoogleWakanda SAS
Initial release20182008200920142012
Current release2.3, January 202111.0, January 20210.9.8.11, March 20162.1.12, February 20172.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
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, C++, JavaC++JavaScriptC++, JavaScript
Server operating systemsLinuxLinux
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononono
Secondary indexesnoyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesnoSQL-like query language infovia JavaScript builder patternno
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
RESTful HTTP API
Supported programming languagesC++
Java
Python
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
JavaScriptJavaScript
Server-side scripts infoStored proceduresuser defined functions and aggregatesJava Stored Proceduresnonoyes
TriggersnoyesnoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replicationselectable replication factor on file system levelnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardnonoyes

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More resources
AnzoGraph DBCubridHypertableLovefieldWakandaDB
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