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DBMS > AgensGraph vs. Alibaba Cloud MaxCompute vs. Hive vs. Microsoft Azure Data Explorer

System Properties Comparison AgensGraph vs. Alibaba Cloud MaxCompute vs. Hive vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAlibaba Cloud MaxCompute  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingdata warehouse software for querying and managing large distributed datasets, built on HadoopFully managed big data interactive analytics platform
Primary database modelGraph DBMS
Relational DBMS
Relational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational 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
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Websitebitnine.net/­agensgraphwww.alibabacloud.com/­product/­maxcomputehive.apache.orgazure.microsoft.com/­services/­data-explorer
Technical documentationbitnine.net/­documentationwww.alibabacloud.com/­help/­en/­maxcomputecwiki.apache.org/­confluence/­display/­Hive/­Homedocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperBitnine Global Inc.AlibabaApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release2016201620122019
Current release2.1, December 20183.1.3, April 2022cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMhosted
Data schemedepending on used data modelyesyesFixed 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 indexesyesnoyesall fields are automatically indexed
SQL infoSupport of SQLyesSQL-like query languageSQL-like DML and DDL statementsKusto Query Language (KQL), SQL subset
APIs and other access methodsCypher Query Language
JDBC
Fluentd
Flume
MaxCompute Console
JDBC
ODBC
Thrift
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
JavaC++
Java
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresyesuser defined functions infoin Javayes infouser defined functions and integration of map-reduceYes, possible languages: KQL, Python, R
Triggersnononoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding infoImplicit feature of the cloud serviceShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infoImplicit feature of the cloud serviceselectable replication factoryes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and rolesAzure Active Directory Authentication

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More resources
AgensGraphAlibaba Cloud MaxComputeHiveMicrosoft Azure Data Explorer
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