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DBMS > Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Elasticsearch vs. Geode vs. Microsoft Azure AI Search

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Elasticsearch vs. Geode vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonElasticsearch  Xexclude from comparisonGeode  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesSearch-as-a-service for web and mobile app development
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeSearch engineKey-value storeSearch engine
Secondary database modelsDocument store
Spatial DBMS
Vector DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#209  Overall
#98  Relational DBMS
Score1.91
Rank#131  Overall
#24  Document stores
Score132.83
Rank#7  Overall
#1  Search engines
Score1.86
Rank#134  Overall
#24  Key-value stores
Score5.52
Rank#59  Overall
#6  Search engines
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­documentdbwww.elastic.co/­elasticsearchgeode.apache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­documentdb/­resourceswww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlgeode.apache.org/­docslearn.microsoft.com/­en-us/­azure/­search
DeveloperAlibabaElasticOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Microsoft
Initial release20162019201020022015
Current release8.6, January 20231.1, February 2017V1
License infoCommercial or Open SourcecommercialcommercialOpen Source infoElastic LicenseOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava
Server operating systemshostedhostedAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredhosted
Data schemeyesschema-freeschema-free infoFlexible type definitions. Once a type is defined, it is persistentschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesnoyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLSQL-like query languagenoSQL-like query languageSQL-like query language (OQL)no
APIs and other access methodsFluentd
Flume
MaxCompute Console
proprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP/JSON API
Java Client API
Memcached protocol
RESTful HTTP API
RESTful HTTP API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions infoin Javanoyesuser defined functionsno
Triggersnonoyes infoby using the 'percolation' featureyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesMulti-source replicationyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)ES-Hadoop Connectornono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsnoyes, on a single nodeno
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.noMemcached and Redis integrationyesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesAccess rights per client and object definableyes infousing Azure authentication

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More resources
Alibaba Cloud MaxComputeAmazon DocumentDBElasticsearchGeodeMicrosoft Azure AI Search
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