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DBMS > AllegroGraph vs. Google Cloud Datastore vs. Infobright

System Properties Comparison AllegroGraph vs. Google Cloud Datastore vs. Infobright

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonInfobright  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#156  Overall
#26  Document stores
#13  Graph DBMS
#7  RDF stores
Score5.27
Rank#71  Overall
#12  Document stores
Score1.21
Rank#153  Overall
#75  Relational DBMS
Websiteallegrograph.comcloud.google.com/­datastorewww.ignitetech.com/­infobright-db
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlcloud.google.com/­datastore/­docs
DeveloperFranz Inc.GoogleIgnite Technologies Inc.; formerly InfoBright Inc.
Initial release200420082005
Current release7.0.0, April 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC
Server operating systemsLinux
OS X
Windows
hostedLinux
Windows
Data schemeyes infoRDF schemasschema-freeyes
Typing infopredefined data types such as float or dateyesyes, details hereyes
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 indexesyesyesno infoKnowledge Grid Technology used instead
SQL infoSupport of SQLSPARQL is used as query languageSQL-like query language (GQL)yes
APIs and other access methodsRESTful HTTP API
SPARQL
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispusing Google App Engineno
TriggersyesCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno
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
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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)fine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilities
More information provided by the system vendor
AllegroGraphGoogle Cloud DatastoreInfobright
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
News

Data Fabrics and Knowledge Graphs — A Symbiotic Relationship
6 November 2020

RDF vs Property Graph – The Graph Show
3 November 2020

Text Analytics Forum 2020 – KMWorld Connect
27 October 2020

Sharing Ontologies Globally To Speed Science And Healthcare Solutions – OntoPortal
7 October 2020

Knowledge Graphs: A Single Source of Truth for the Enterprise
5 October 2020

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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
AllegroGraphGoogle Cloud DatastoreInfobright
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21 December 2020, SiliconANGLE News

Global Key-Value Stores Market Qualitative Report Focusing on Leading Players Forecast 2020-2026
17 January 2021, The Courier

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Ignite Buys Database Vendor Infobright
2 May 2017, Datanami

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