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DBMS > AnzoGraph DB vs. Drizzle vs. IBM Db2 Event Store vs. SpatiaLite vs. TerarkDB

System Properties Comparison AnzoGraph DB vs. Drizzle vs. IBM Db2 Event Store vs. SpatiaLite vs. TerarkDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDrizzle  Xexclude from comparisonIBM Db2 Event Store  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.Distributed Event Store optimized for Internet of Things use casesSpatial 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 DBMSEvent Store
Time Series DBMS
Spatial DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.63
Rank#146  Overall
#3  Spatial DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitecambridgesemantics.com/­anzographwww.ibm.com/­products/­db2-event-storewww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­bytedance/­terarkdb
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.ibm.com/­docs/­en/­db2-event-storewww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerIBMAlessandro FurieriByteDance, originally Terark
Initial release20182008201720082016
Current release2.3, January 20217.2.4, September 20122.05.0.0, August 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGNU GPLcommercial infofree developer edition availableOpen 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 and C++C++C++
Server operating systemsLinuxFreeBSD
Linux
OS X
Linux infoLinux, macOS, Windows for the developer additionserver-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 indexesnoyesnoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsyes infothrough the embedded Spark runtimeyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesC++
Java
Python
C
C++
Java
PHP
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Java
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesnono
Triggersnono infohooks for callbacks inside the server can be used.noyesno
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
Active-active shard 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-ClusterEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardnono

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More resources
AnzoGraph DBDrizzleIBM Db2 Event StoreSpatiaLiteTerarkDB
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