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DBMS > AllegroGraph vs. Couchbase vs. FoundationDB vs. Google BigQuery

System Properties Comparison AllegroGraph vs. Couchbase vs. FoundationDB vs. Google BigQuery

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonFoundationDB  Xexclude from comparisonGoogle BigQuery  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseOrdered key-value store. Core features are complimented by layers.Large scale data warehouse service with append-only tables
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMS
Secondary database modelsSpatial DBMSKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector 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
Score16.59
Rank#36  Overall
#5  Document stores
Score1.06
Rank#185  Overall
#31  Document stores
#28  Key-value stores
#85  Relational DBMS
Score58.10
Rank#19  Overall
#13  Relational DBMS
Websiteallegrograph.comwww.couchbase.comgithub.com/­apple/­foundationdbcloud.google.com/­bigquery
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.couchbase.comapple.github.io/­foundationdbcloud.google.com/­bigquery/­docs
DeveloperFranz Inc.Couchbase, Inc.FoundationDBGoogle
Initial release2004201120132010
Current release8.0, December 2023Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20236.2.28, November 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen 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++, Go and ErlangC++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
hosted
Data schemeyes infoRDF schemasschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyes
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 possibleno
Secondary indexesyesyesnono
SQL infoSupport of SQLSPARQL is used as query languageSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casessupported in specific SQL layer onlyyes
APIs and other access methodsRESTful HTTP API
SPARQL
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispFunctions and timers in JavaScript and UDFs in Java, Python, SQL++in SQL-layer onlyuser defined functions infoin JavaScript
Triggersyesyes infovia the TAP protocolnono
Partitioning methods infoMethods for storing different data on different nodeswith FederationAutomatic ShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication infoincluding cross data center replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Linearizable consistencyImmediate Consistency
Foreign keys infoReferential integritynonoin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno infoSince BigQuery is designed for querying data
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.noyes infoEphemeral bucketsno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationUser and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.noAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)
More information provided by the system vendor
AllegroGraphCouchbase infoOriginally called MembaseFoundationDBGoogle BigQuery
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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