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DBMS > AllegroGraph vs. BoltDB vs. Datomic vs. Google Cloud Datastore vs. XTDB

System Properties Comparison AllegroGraph vs. BoltDB vs. Datomic vs. Google Cloud Datastore vs. XTDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn embedded key-value store for Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Key-value storeRelational DBMSDocument storeDocument store
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
Score0.80
Rank#215  Overall
#31  Key-value stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.36
Rank#72  Overall
#12  Document stores
Score0.18
Rank#332  Overall
#46  Document stores
Websiteallegrograph.comgithub.com/­boltdb/­boltwww.datomic.comcloud.google.com/­datastoregithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comcloud.google.com/­datastore/­docswww.xtdb.com/­docs
DeveloperFranz Inc.CognitectGoogleJuxt Ltd.
Initial release20042013201220082019
Current release8.0, December 20231.0.6735, June 20231.19, September 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoMIT Licensecommercial infolimited edition freecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, ClojureClojure
Server operating systemsLinux
OS X
Windows
BSD
Linux
OS X
Solaris
Windows
All OS with a Java VMhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyes infoRDF schemasschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyes, details hereyes, extensible-data-notation format
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 possiblenononono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like query language (GQL)limited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIgRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
GoClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnoyes infoTransaction Functionsusing Google App Engineno
TriggersyesnoBy using transaction functionsCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnonenone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenone infoBut extensive use of caching in the application peersMulti-source replication using Paxosyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationnoneImmediate ConsistencyImmediate 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.
Foreign keys infoReferential integritynononoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes inforecommended only for testing and developmentno
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)
More information provided by the system vendor
AllegroGraphBoltDBDatomicGoogle Cloud DatastoreXTDB infoformerly named Crux
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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