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DBMS > Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Apache Druid vs. EJDB vs. Firebase Realtime Database

System Properties Comparison Alibaba Cloud MaxCompute vs. Amazon DocumentDB vs. Apache Druid vs. EJDB vs. Firebase Realtime Database

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonApache Druid  Xexclude from comparisonEJDB  Xexclude from comparisonFirebase Realtime Database  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 serviceOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesDocument storeRelational DBMS
Time Series DBMS
Document storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#214  Overall
#98  Relational DBMS
Score1.91
Rank#132  Overall
#24  Document stores
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Websitewww.alibabacloud.com/­product/­maxcomputeaws.amazon.com/­documentdbdruid.apache.orggithub.com/­Softmotions/­ejdbfirebase.google.com/­products/­realtime-database
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputeaws.amazon.com/­documentdb/­resourcesdruid.apache.org/­docs/­latest/­designgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdfirebase.google.com/­docs/­database
DeveloperAlibabaApache Software Foundation and contributorsSoftmotionsGoogle infoacquired by Google 2014
Initial release20162019201220122012
Current release29.0.1, April 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache license v2Open Source infoGPLv2commercial
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 languageJavaC
Server operating systemshostedhostedLinux
OS X
Unix
server-lesshosted
Data schemeyesschema-freeyes infoschema-less columns are supportedschema-freeschema-free
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.nononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoSQL for queryingnono
APIs and other access methodsFluentd
Flume
MaxCompute Console
proprietary protocol using JSON (MongoDB compatible)JDBC
RESTful HTTP/JSON API
in-process shared libraryAndroid
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
PHP
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresuser defined functions infoin Javanononolimited functionality with using 'rules'
TriggersnonononoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneSharding infomanual/auto, time-basednone
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 replicasyes, via HDFS, S3 or other storage enginesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblenono 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 operationsnonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoRead/Write Lockingyes
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.nono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnoyes, based on authentication and database rules

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More resources
Alibaba Cloud MaxComputeAmazon DocumentDBApache DruidEJDBFirebase Realtime Database
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