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DBMS > AnzoGraph vs. Drizzle vs. Solr vs. Sqrrl

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

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Editorial information provided by DB-Engines
NameAnzoGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonSolr  Xexclude from comparisonSqrrl  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.A widely used enterprise search engine based on Apache LuceneAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelGraph DBMS
RDF store
Relational DBMSSearch engineDocument store
Graph DBMS
Key-value store
Wide column 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
Score56.57
Rank#17  Overall
#3  Search engines
Websitewww.anzograph.comlucene.apache.org/­solrsqrrl.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmlucene.apache.org/­solr/­resources.html
DeveloperCambridge SemanticsDrizzle project, originally started by Brian AkerApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.
Initial release2018200820042012
Current release1904.0, April 20197.2.4, September 20128.3.1, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoGNU GPLOpen Source infoApache Version 2commercial
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
All OS with a Java VM and a servlet container inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyes infoRDF schemasyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyes
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 infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languageyes infowith proprietary extensionsno infosupports limited query time joinsno
APIs and other access methodsgRPC
JDBC
OpenCypher
RESTful HTTP API
SPARQL
JDBCJava API
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC++
Java
C
C++
Java
PHP
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
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 functionsnoJava pluginsno
Triggersnono infohooks for callbacks inside the server can be used.yes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
cloud/distributed (via Zookeeper)
Master-slave replication
selectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoslaves poll the master in predefined intervallsImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityno infonot needed in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic locking infoSolr 4Atomic updates per row, document, or graph entity
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.yesno
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)
More information provided by the system vendor
AnzoGraphDrizzleSolrSqrrl
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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AnzoGraphDrizzleSolrSqrrl
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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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9 July 2019, PR Web

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