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DBMS > AnzoGraph DB vs. Drizzle vs. InterSystems Caché vs. Sqrrl vs. ToroDB

System Properties Comparison AnzoGraph DB vs. Drizzle vs. InterSystems Caché vs. Sqrrl vs. ToroDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonDrizzle  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonSqrrl  Xexclude from comparisonToroDB  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.Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.ToroDB seems to be discontinued. Therefore it 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.A multi-model DBMS and application serverAdaptable, secure NoSQL built on Apache AccumuloA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMS
RDF store
Relational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Document store
Graph DBMS
Key-value store
Wide column store
Document store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Websitecambridgesemantics.com/­anzographwww.intersystems.com/­products/­cachesqrrl.comgithub.com/­torodb/­server
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.intersystems.com
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerInterSystemsAmazon infooriginally Sqrrl Data, Inc.8Kdata
Initial release20182008199720122016
Current release2.3, January 20217.2.4, September 20122018.1.4, May 2020
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGNU GPLcommercialcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaJava
Server operating systemsLinuxFreeBSD
Linux
OS X
AIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxAll OS with a Java 7 VM
Data schemeSchema-free and OWL/RDFS-schema supportyesdepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, boolean, date, object_id
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.noyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infowith proprietary extensionsyesno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC.NET Client API
JDBC
ODBC
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Java
Python
C
C++
Java
PHP
C#
C++
Java
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesno
Triggersnono infohooks for callbacks inside the server can be used.yesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDAtomic updates per row, document, or graph entityno
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
User concepts infoAccess controlAccess rights for users and rolesPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and rolesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and roles

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More resources
AnzoGraph DBDrizzleInterSystems CachéSqrrlToroDB
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