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DBMS > Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Amazon Neptune vs. EJDB vs. MarkLogic

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Amazon Neptune vs. EJDB vs. MarkLogic

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonEJDB  Xexclude from comparisonMarkLogic  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 serviceFast, reliable graph database built for the cloudEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Operational and transactional Enterprise NoSQL database
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeGraph DBMS
RDF store
Document storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#221  Overall
#102  Relational DBMS
Score1.89
Rank#137  Overall
#24  Document stores
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score0.30
Rank#294  Overall
#44  Document stores
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­documentdbaws.amazon.com/­neptunegithub.com/­Softmotions/­ejdbwww.marklogic.com
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­documentdb/­resourcesaws.amazon.com/­neptune/­developer-resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.marklogic.com
DeveloperAlibabaAmazonSoftmotionsMarkLogic Corp.
Initial release20162019201720122001
Current release11.0, December 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPLv2commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud serviceyesyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemshostedhostedhostedserver-lessLinux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, bool, date, object_idyes
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.nononoyes
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLSQL-like query languagenononoyes infoSQL92
APIs and other access methodsFluentd
Flume
MaxCompute Console
proprietary protocol using JSON (MongoDB compatible)OpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
in-process shared libraryJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
C#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Javanononoyes infovia XQuery or JavaScript
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenonenonenoneSharding
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 replicasMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possibleyes infoRelationships in graphsno infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDnoACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyes infowith encyption-at-restyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, with Range Indexes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)noRole-based access control at the document and subdocument levels

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More resources
Alibaba Cloud MaxComputeAmazon DocumentDBAmazon NeptuneEJDBMarkLogic
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