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DBMS > Alibaba Cloud MaxCompute vs. Apache Druid vs. Firebase Realtime Database vs. Graph Engine vs. TerarkDB

System Properties Comparison Alibaba Cloud MaxCompute vs. Apache Druid vs. Firebase Realtime Database vs. Graph Engine vs. TerarkDB

Editorial information provided by DB-Engines
NameAlibaba Cloud MaxCompute  Xexclude from comparisonApache Druid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionMaxCompute (previously known as ODPS) is a general purpose, fully managed, multi-tenancy data processing platform for large-scale data warehousingOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMS infoa graph-processing framework is available with the graphs being stored in tablesRelational DBMS
Time Series DBMS
Document storeGraph DBMS
Key-value store
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#203  Overall
#96  Relational DBMS
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score13.60
Rank#39  Overall
#6  Document stores
Score0.56
Rank#241  Overall
#21  Graph DBMS
#34  Key-value stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.alibabacloud.com/­product/­maxcomputedruid.apache.orgfirebase.google.com/­products/­realtime-databasewww.graphengine.iogithub.com/­bytedance/­terarkdb
Technical documentationwww.alibabacloud.com/­help/­en/­maxcomputedruid.apache.org/­docs/­latest/­designfirebase.google.com/­docs/­databasewww.graphengine.io/­docs/­manualbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperAlibabaApache Software Foundation and contributorsGoogle infoacquired by Google 2014MicrosoftByteDance, originally Terark
Initial release20162012201220102016
Current release30.0.0, June 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache license v2commercialOpen Source infoMIT Licensecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CC++
Server operating systemshostedLinux
OS X
Unix
hosted.NET
Data schemeyesyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageSQL for queryingnonono
APIs and other access methodsFluentd
Flume
MaxCompute Console
JDBC
RESTful HTTP/JSON API
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIC++ API
Java API
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
Java
JavaScript
Objective-C
C#
C++
F#
Visual Basic
C++
Java
Server-side scripts infoStored proceduresuser defined functions infoin Javanolimited functionality with using 'rules'yesno
TriggersnonoCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infomanual/auto, time-basedhorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes, via HDFS, S3 or other storage enginesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyes, based on authentication and database rulesno

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More resources
Alibaba Cloud MaxComputeApache DruidFirebase Realtime DatabaseGraph Engine infoformer name: TrinityTerarkDB
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