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DBMS > AlaSQL vs. AllegroGraph vs. Drizzle vs. GridGain

System Properties Comparison AlaSQL vs. AllegroGraph vs. Drizzle vs. GridGain

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAllegroGraph  Xexclude from comparisonDrizzle  Xexclude from comparisonGridGain  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.
DescriptionJavaScript DBMS libraryHigh performance, persistent RDF store with additional support for Graph DBMSMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.GridGain is an in-memory computing platform, built on Apache Ignite
Primary database modelDocument store
Relational DBMS
Document store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSKey-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Websitealasql.orgallegrograph.comwww.gridgain.com
Technical documentationgithub.com/­AlaSQL/­alasqlfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.gridgain.com/­docs/­index.html
DeveloperAndrey Gershun & Mathias R. WulffFranz Inc.Drizzle project, originally started by Brian AkerGridGain Systems, Inc.
Initial release2014200420082007
Current release8.0, December 20237.2.4, September 2012GridGain 8.5.1
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infoLimited community edition freeOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++Java, C++, .Net
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
FreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 infobulk load of XML files possibleyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SPARQL is used as query languageyes infowith proprietary extensionsANSI-99 for query and DML statements, subset of DDL
APIs and other access methodsJavaScript APIRESTful HTTP API
SPARQL
JDBCHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Supported programming languagesJavaScriptC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
PHP
C#
C++
Java
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyes infoJavaScript or Common Lispnoyes (compute grid and cache interceptors can be used instead)
Triggersyesyesno infohooks for callbacks inside the server can be used.yes (cache interceptors and events)
Partitioning methods infoMethods for storing different data on different nodesnonewith FederationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
yes (replicated cache)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes (compute grid and hadoop accelerator)
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user roles and pluggable authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPSecurity Hooks for custom implementations
More information provided by the system vendor
AlaSQLAllegroGraphDrizzleGridGain
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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