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DBMS > Alibaba Cloud MaxCompute vs. Apache Jena - TDB vs. Datomic vs. Microsoft Azure Data Explorer

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Jena - TDB vs. Datomic vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Jena - TDB  Xexclude from comparisonDatomic  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingA RDF storage and query DBMS, shipped as an optional-use component of the Apache Jena frameworkDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFully managed big data interactive analytics platform
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRDF storeRelational DBMSRelational DBMS infocolumn oriented
Secondary database modelsDocument 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
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score3.62
Rank#83  Overall
#3  RDF stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Websitewww.alibabacloud.com/­product/­maxcomputejena.apache.org/­documentation/­tdb/­index.htmlwww.datomic.comazure.microsoft.com/­services/­data-explorer
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputejena.apache.org/­documentation/­tdb/­index.htmldocs.datomic.comdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperAlibabaApache Software Foundation infooriginally developed by HP LabsCognitectMicrosoft
Initial release2016200020122019
Current release4.9.0, July 20231.0.7075, December 2023cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoApache License, Version 2.0commercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, Clojure
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMhosted
Data schemeyesyes infoRDF SchemasyesFixed schema with schema-less datatypes (dynamic)
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-types
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.nonoyes
Secondary indexesnoyesyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languagenonoKusto Query Language (KQL), SQL subset
APIs and other access methodsFluentd
Flume
MaxCompute Console
Fuseki infoREST-style SPARQL HTTP Interface
Jena RDF API
RIO infoRDF Input/Output
RESTful HTTP APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesJavaJavaClojure
Java
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresuser defined functions infoin Javayesyes infoTransaction FunctionsYes, possible languages: KQL, Python, R
Triggersnoyes infovia event handlerBy using transaction functionsyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenonenone infoBut extensive use of caching in the application peersyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoTDB TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlAccess rights for users and rolesAccess control via Jena SecuritynoAzure Active Directory Authentication

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More resources
Alibaba Cloud MaxComputeApache Jena - TDBDatomicMicrosoft Azure Data Explorer
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