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DBMS > AllegroGraph vs. Cachelot.io vs. Ignite vs. Microsoft Azure Table Storage

System Properties Comparison AllegroGraph vs. Cachelot.io vs. Ignite vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCachelot.io  Xexclude from comparisonIgnite  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSIn-memory caching systemApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeKey-value store
Relational DBMS
Wide column 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
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websiteallegrograph.comcachelot.ioignite.apache.orgazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlapacheignite.readme.io/­docs
DeveloperFranz Inc.Apache Software FoundationMicrosoft
Initial release2004201520152012
Current release8.0, December 2023Apache Ignite 2.6
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoSimplified BSD LicenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++, Java, .Net
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
OS X
Solaris
Windows
hosted
Data schemeyes infoRDF schemasschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnoyesyes
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 possiblenoyesno
Secondary indexesyesnoyesno
SQL infoSupport of SQLSPARQL is used as query languagenoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsRESTful HTTP API
SPARQL
Memcached protocolHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes (compute grid and cache interceptors can be used instead)no
Triggersyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodeswith FederationnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes (replicated cache)yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnoSecurity Hooks for custom implementationsAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
AllegroGraphCachelot.ioIgniteMicrosoft Azure Table Storage
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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