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DBMS > AnzoGraph vs. Drizzle vs. Sqrrl vs. ToroDB

System Properties Comparison AnzoGraph vs. Drizzle vs. Sqrrl vs. ToroDB

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Editorial information provided by DB-Engines
NameAnzoGraph  Xexclude from comparisonDrizzle  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.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionGraph Analytics Database (OLAP) that is MPP and standards-basedMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Adaptable, secure NoSQL built on Apache AccumuloA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelGraph DBMS
RDF store
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#289  Overall
#26  Graph DBMS
#16  RDF stores
Score0.07
Rank#294  Overall
#39  Document stores
Websitewww.anzograph.comsqrrl.comwww.torodb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.torodb.com/­stampede/­docs
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerAmazon infooriginally Sqrrl Data, Inc.8Kdata
Initial release2018200820122016
Current release1904.0, April 20197.2.4, September 2012
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLcommercialOpen Source infoAGPL-V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaJava
Server operating systemsLinuxFreeBSD
Linux
OS X
LinuxAll OS with a Java 7 VM
Data schemeyes infoRDF schemasyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes 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.nono
Secondary indexesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infowith proprietary extensionsno
APIs and other access methodsgRPC
JDBC
OpenCypher
RESTful HTTP API
SPARQL
JDBCAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Java
C
C++
Java
PHP
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 functionsnono
Triggersnono infohooks for callbacks inside the server can be used.nono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infomaking use of HadoopSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
selectable replication factor infomaking use of HadoopMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate 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 graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights for users and roles
More information provided by the system vendor
AnzoGraphDrizzleSqrrlToroDB
Specific characteristicsAnzoGraph® is a native, Massively Parallel Processing (MPP) distributed Graph OLAP...
» more
Competitive advantagesMost solutions in the graph database market are geared toward Online Transactional...
» more
Typical application scenariosDevelopers can use AnzoGraph to build and execute data warehouse-style BI analytics,...
» more
Key customersAnzograph has customers in biotech, pharma, financial services and other verticals.
» more
Licensing and pricing modelsPricing is based primarily on number of nodes needed to perform workload. AnzoGraph...
» more

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AnzoGraphDrizzleSqrrlToroDB
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Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

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28 March 2019, KMWorld Magazine

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9 July 2019, PR Web

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