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DBMS > AllegroGraph vs. Drizzle vs. Sqrrl vs. TerarkDB vs. ToroDB

System Properties Comparison AllegroGraph vs. Drizzle vs. Sqrrl vs. TerarkDB vs. ToroDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonSqrrl  Xexclude from comparisonTerarkDB  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.ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Adaptable, secure NoSQL built on Apache AccumuloA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA MongoDB-compatible JSON document store, built on top of PostgreSQL
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteallegrograph.comsqrrl.comgithub.com/­bytedance/­terarkdbgithub.com/­torodb/­server
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperFranz Inc.Drizzle project, originally started by Brian AkerAmazon infooriginally Sqrrl Data, Inc.ByteDance, originally Terark8Kdata
Initial release20042008201220162016
Current release8.0, December 20237.2.4, September 2012
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoGNU GPLcommercialcommercial inforestricted open source version availableOpen 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++JavaC++Java
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
LinuxAll OS with a Java 7 VM
Data schemeyes infoRDF schemasyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes 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.no infobulk load of XML files possiblenono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSPARQL is used as query languageyes infowith proprietary extensionsnono
APIs and other access methodsRESTful HTTP API
SPARQL
JDBCAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
C++ API
Java API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
PHP
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonono
Triggersyesno infohooks for callbacks inside the server can be used.nonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infomaking use of HadoopnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
selectable replication factor infomaking use of HadoopnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate 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 integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic updates per row, document, or graph entitynono
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.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)noAccess rights for users and roles
More information provided by the system vendor
AllegroGraphDrizzleSqrrlTerarkDBToroDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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