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DBMS > AllegroGraph vs. GeoMesa vs. SingleStore

System Properties Comparison AllegroGraph vs. GeoMesa vs. SingleStore

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGeoMesa  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Spatial DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#199  Overall
#34  Document stores
#18  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.82
Rank#218  Overall
#4  Spatial DBMS
Score6.03
Rank#62  Overall
#35  Relational DBMS
Websiteallegrograph.comwww.geomesa.orgwww.singlestore.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.singlestore.com
DeveloperFranz Inc.CCRi and othersSingleStore Inc.
Initial release200420142013
Current release8.0, December 20234.0.5, February 20248.5, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache License 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageScalaC++, Go
Server operating systemsLinux
OS X
Windows
Linux info64 bit version required
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes infobut no triggers and foreign keys
APIs and other access methodsRESTful HTTP API
SPARQL
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationdepending on storage layerSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
depending on storage layerSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationdepending on storage layerImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layeryes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyes infodepending on the DBMS used for storageFine grained access control via users, groups and roles
More information provided by the system vendor
AllegroGraphGeoMesaSingleStore infoformer name was MemSQL
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more
News

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9 February 2024

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23 January 2024

Allegro CL v11 – Now Available! – The Neuro-Symbolic AI Programming Platform
8 January 2024

The New Stack Features AllegroGraph v8
2 January 2024

Knowledge Graph Technology Showcase Honest Review: AllegroGraph
2 January 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
AllegroGraphGeoMesaSingleStore infoformer name was MemSQL
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14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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