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DBMS > Alibaba Cloud MaxCompute vs. AllegroGraph vs. Kyligence Enterprise vs. Microsoft Azure Data Explorer vs. Tibero

System Properties Comparison Alibaba Cloud MaxCompute vs. AllegroGraph vs. Kyligence Enterprise vs. Microsoft Azure Data Explorer vs. Tibero

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAllegroGraph  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingHigh performance, persistent RDF store with additional support for Graph DBMSA distributed analytics engine for big data, built on top of Apache KylinFully managed big data interactive analytics platformA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMS infocolumn orientedRelational 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
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputeallegrograph.comkyligence.io/­kyligence-enterpriseazure.microsoft.com/­services/­data-explorerus.tmaxsoft.com/­products/­tibero
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputefranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.microsoft.com/­en-us/­azure/­data-explorertechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperAlibabaFranz Inc.Kyligence, Inc.MicrosoftTmaxSoft
Initial release20162004201620192003
Current release8.0, December 2023cloud service with continuous releases6, April 2015
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and Assembler
Server operating systemshostedLinux
OS X
Windows
LinuxhostedAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesyes infoRDF schemasyesFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyesyesyes 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.nono infobulk load of XML files possiblenoyesyes
Secondary indexesnoyesyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query languageSPARQL is used as query languageANSI SQL for queries (using Apache Calcite)Kusto Query Language (KQL), SQL subsetyes
APIs and other access methodsFluentd
Flume
MaxCompute Console
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesJavaC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresuser defined functions infoin Javayes infoJavaScript or Common LispYes, possible languages: KQL, Python, RPersistent Stored Procedure (PSM)
Triggersnoyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicewith FederationSharding infoImplicit feature of the cloud servicehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.nonononono infoplanned for next version
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept, user roles and pluggable authenticationAzure Active Directory Authenticationfine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
Alibaba Cloud MaxComputeAllegroGraphKyligence EnterpriseMicrosoft Azure Data ExplorerTibero
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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