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DBMS > Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Bangdb vs. OrientDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Bangdb vs. OrientDB

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Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonBangdb  Xexclude from comparisonOrientDB  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 serviceConverged and high performance database for device data, events, time series, document and graphMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeDocument store
Graph DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Secondary database modelsSpatial 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
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­documentdbbangdb.comorientdb.org
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­documentdb/­resourcesdocs.bangdb.comwww.orientdb.com/­docs/­last/­index.html
DeveloperAlibabaSachin Sinha, BangDBOrientDB LTD; CallidusCloud; SAP
Initial release2016201920122010
Current releaseBangDB 2.0, October 20213.2.29, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSD 3Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java
Server operating systemshostedhostedLinuxAll OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyes: string, long, double, int, geospatial, stream, eventsyes
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.nononono
Secondary indexesnoyesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLSQL-like query languagenoSQL like support with command line toolSQL-like query language, no joins
APIs and other access methodsFluentd
Flume
MaxCompute Console
proprietary protocol using JSON (MongoDB compatible)Proprietary protocol
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Java
Python
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions infoin JavanonoJava, Javascript
Triggersnonoyes, Notifications (with Streaming only)Hooks
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
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 replicasselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyTunable consistency, set CAP knob accordingly
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-document operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyesyes, implements WAL (Write ahead log) as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes, run db with in-memory only mode
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesyes (enterprise version only)Access rights for users and roles; record level security configurable

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More resources
Alibaba Cloud MaxComputeAmazon DocumentDBBangdbOrientDB
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