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DBMS > AllegroGraph vs. Google Cloud Datastore vs. IRONdb vs. searchxml

System Properties Comparison AllegroGraph vs. Google Cloud Datastore vs. IRONdb vs. searchxml

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonIRONdb  Xexclude from comparisonsearchxml  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeTime Series DBMSNative XML DBMS
Search engine
Secondary database modelsSpatial 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
Score4.36
Rank#72  Overall
#12  Document stores
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteallegrograph.comcloud.google.com/­datastorewww.circonus.com/solutions/time-series-database/www.searchxml.net/­category/­products
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­datastore/­docsdocs.circonus.com/irondb/category/getting-startedwww.searchxml.net/­support/­handouts
DeveloperFranz Inc.GoogleCirconus LLC.informationpartners gmbh
Initial release2004200820172015
Current release8.0, December 2023V0.10.20, January 20181.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++
Server operating systemsLinux
OS X
Windows
hostedLinuxWindows
Data schemeyes infoRDF schemasschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyes infotext, numeric, histogramsyes
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 possiblenonoyes
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language (GQL)SQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP APIRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispusing Google App Engineyes, in Luayes infoon the application server
TriggersyesCallbacks using the Google Apps Enginenono
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using Paxosconfigurable replication factor, datacenter awareyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsnomultiple readers, single writer
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 authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)noDomain, group and role-based access control at the document level and for application services
More information provided by the system vendor
AllegroGraphGoogle Cloud DatastoreIRONdbsearchxml
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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