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DBMS > AllegroGraph vs. BaseX vs. CockroachDB vs. Microsoft Azure Data Explorer vs. ObjectBox

System Properties Comparison AllegroGraph vs. BaseX vs. CockroachDB vs. Microsoft Azure Data Explorer vs. ObjectBox

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBaseX  Xexclude from comparisonCockroachDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Fully managed big data interactive analytics platformExtremely fast embedded database for small devices, IoT and Mobile
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Native XML DBMSRelational DBMSRelational DBMS infocolumn orientedObject oriented DBMS
Secondary database modelsSpatial DBMSDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Time Series 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
#8  Vector DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
Websiteallegrograph.combasex.orgwww.cockroachlabs.comazure.microsoft.com/­services/­data-explorerobjectbox.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.basex.orgwww.cockroachlabs.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.objectbox.io
DeveloperFranz Inc.BaseX GmbHCockroach LabsMicrosoftObjectBox Limited
Initial release20042007201520192017
Current release8.0, December 202311.0, June 202424.1.0, May 2024cloud service with continuous releases
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoBSD licenseOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache License 2.0
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 languageJavaGoC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
macOS
Windows
hostedAndroid
iOS
Linux
macOS
Windows
Data schemeyes infoRDF schemasschema-freedynamic schemaFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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 possiblenoyesno
Secondary indexesyesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languagenoyes, wire compatible with PostgreSQLKusto Query Language (KQL), SQL subsetno
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
JDBCMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Proprietary native API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispyesnoYes, possible languages: KQL, Python, Rno
Triggersyesyes infovia eventsnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodeswith Federationnonehorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication using RAFTyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and server
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
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 authenticationUsers with fine-grained authorization concept on 4 levelsRole-based access controlAzure Active Directory Authenticationyes
More information provided by the system vendor
AllegroGraphBaseXCockroachDBMicrosoft Azure Data ExplorerObjectBox
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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