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DBMS > AnzoGraph DB vs. Drizzle vs. Kinetica vs. SpatiaLite vs. TerarkDB

System Properties Comparison AnzoGraph DB vs. Drizzle vs. Kinetica vs. SpatiaLite vs. TerarkDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparisonSpatiaLite  Xexclude from comparisonTerarkDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded 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 virtualizationMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUsSpatial extension of SQLiteA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSSpatial DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score1.72
Rank#149  Overall
#3  Spatial DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websitecambridgesemantics.com/­anzographwww.kinetica.comwww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­bytedance/­terarkdb
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.kinetica.comwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerKineticaAlessandro FurieriByteDance, originally Terark
Initial release20182008201220082016
Current release2.3, January 20217.2.4, September 20127.1, August 20215.0.0, August 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGNU GPLcommercialOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1commercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C, C++C++C++
Server operating systemsLinuxFreeBSD
Linux
OS X
Linuxserver-less
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesyesyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsSQL-like DML and DDL statementsyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCJDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC++
Java
Python
C
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functionsnono
Triggersnono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
Source-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsyesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table levelnono

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More resources
AnzoGraph DBDrizzleKineticaSpatiaLiteTerarkDB
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