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DBMS > AnzoGraph DB vs. Drizzle vs. Linter vs. NSDb vs. TypeDB

System Properties Comparison AnzoGraph DB vs. Drizzle vs. Linter vs. NSDb vs. TypeDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDrizzle  Xexclude from comparisonLinter  Xexclude from comparisonNSDb  Xexclude from comparisonTypeDB infoformerly named Grakn  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.RDBMS for high security requirementsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesTypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSTime Series DBMSGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Secondary database modelsSpatial 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
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.70
Rank#230  Overall
#20  Graph DBMS
#106  Relational DBMS
Websitecambridgesemantics.com/­anzographlinter.runsdb.iotypedb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmnsdb.io/­Architecturetypedb.com/­docs
DeveloperCambridge SemanticsDrizzle project, originally started by Brian Akerrelex.ruVaticle
Initial release20182008199020172016
Current release2.3, January 20217.2.4, September 20122.26.3, January 2024
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGNU GPLcommercialOpen Source infoApache Version 2.0Open Source infoGPL Version 3, commercial licenses 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++Java, ScalaJava
Server operating systemsLinuxFreeBSD
Linux
OS X
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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 indexesnoyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsyesSQL-like query languageno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBCADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
gRPC
HTTP REST
WebSocket
gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
Supported programming languagesC++
Java
Python
C
C++
Java
PHP
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Java
Scala
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes infoproprietary syntax with the possibility to convert from PL/SQLnono
Triggersnono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneShardingSharding infoby using Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication infoby using Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnononoyes infoby using Apache Kafka and Apache Zookeeper
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesnono infosubstituted by the relationship feature
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardyes infoat REST API level; other APIs in progress
More information provided by the system vendor
AnzoGraph DBDrizzleLinterNSDbTypeDB infoformerly named Grakn
Specific characteristicsTypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
» more
Competitive advantagesTypeDB provides a new level of expressivity, extensibility, interoperability, and...
» more
Typical application scenariosLife sciences : TypeDB makes working with biological data much easier and accelerates...
» more
Licensing and pricing modelsApache f or language drivers, and AGPL and Commercial for the database server. The...
» more

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More resources
AnzoGraph DBDrizzleLinterNSDbTypeDB infoformerly named Grakn
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