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DBMS > AllegroGraph vs. InfinityDB vs. Microsoft Azure Table Storage vs. SWC-DB

System Properties Comparison AllegroGraph vs. InfinityDB vs. Microsoft Azure Table Storage vs. SWC-DB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA Java embedded Key-Value Store which extends the Java Map interfaceA Wide Column Store for rapid development using massive semi-structured datasetsA high performance, scalable Wide Column DBMS
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeWide column storeWide column store
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.08
Rank#365  Overall
#55  Key-value stores
Score4.04
Rank#77  Overall
#6  Wide column stores
Score0.08
Rank#364  Overall
#13  Wide column stores
Websiteallegrograph.comboilerbay.comazure.microsoft.com/­en-us/­services/­storage/­tablesgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlboilerbay.com/­infinitydb/­manual
DeveloperFranz Inc.Boiler Bay Inc.MicrosoftAlex Kashirin
Initial release2004200220122020
Current release8.0, December 20234.00.5, April 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMhostedLinux
Data schemeyes infoRDF schemasyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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 possiblenonono
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilityno
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
RESTful HTTP APIProprietary protocol
Thrift
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonono
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsoptimistic locking
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.nononono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
AllegroGraphInfinityDBMicrosoft Azure Table StorageSWC-DB infoSuper Wide Column Database
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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