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DBMS > AllegroGraph vs. Apache Kylin vs. Google Cloud Datastore vs. XTDB

System Properties Comparison AllegroGraph vs. Apache Kylin vs. Google Cloud Datastore vs. XTDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonApache Kylin  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackAutomatically 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
Relational DBMSDocument storeDocument 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
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score0.11
Rank#343  Overall
#46  Document stores
Websiteallegrograph.comkylin.apache.orgcloud.google.com/­datastoregithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlkylin.apache.org/­docscloud.google.com/­datastore/­docswww.xtdb.com/­docs
DeveloperFranz Inc.Apache Software Foundation, originally contributed from eBay IncGoogleJuxt Ltd.
Initial release2004201520082019
Current release8.0, December 20233.1.0, July 20201.19, September 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2.0commercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaClojure
Server operating systemsLinux
OS X
Windows
LinuxhostedAll OS with a Java 8 (and higher) VM
Linux
Data schemeyes infoRDF schemasyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes, 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 possiblenonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageANSI SQL for queries (using Apache Calcite)SQL-like query language (GQL)limited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
HTTP REST
JDBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Clojure
Java
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 Paxosyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate 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 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 datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, 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.nonono
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)
More information provided by the system vendor
AllegroGraphApache KylinGoogle 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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