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DBMS > AntDB vs. Apache IoTDB vs. Firebase Realtime Database vs. Riak TS

System Properties Comparison AntDB vs. Apache IoTDB vs. Firebase Realtime Database vs. Riak TS

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Editorial information provided by DB-Engines
NameAntDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonRiak TS  Xexclude from comparison
DescriptionA scalable, multi-tenant, MPP-architectured RDBMS for OLTP and OLAP operations, highly compatible with OracleAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Riak TS is a distributed NoSQL database optimized for time series data and based on Riak KV
Primary database modelRelational DBMSTime Series DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#303  Overall
#137  Relational DBMS
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.20
Rank#319  Overall
#27  Time Series DBMS
Websitewww.asiainfo.com/­en_us/­product_aisware_antdb_detail.htmliotdb.apache.orgfirebase.google.com/­products/­realtime-database
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlfirebase.google.com/­docs/­databasewww.tiot.jp/­riak-docs/­riak/­ts/­latest
Social network pagesLinkedInTwitterFacebook
DeveloperAsiaInfo Technologies LimitedApache Software FoundationGoogle infoacquired by Google 2014Open Source, formerly Basho Technologies
Initial release201820122015
Current release1.1.0, April 20233.0.0, September 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlang
Server operating systemsAll OS with a Java VM (>= 1.8)hostedLinux
OS X
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.nonono
Secondary indexesyesyesyesrestricted
SQL infoSupport of SQLSQL2016 compliantSQL-like query languagenoyes, limited
APIs and other access methodsJDBC
MySQL protocol compliant
ODBC
JDBC
Native API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript
Objective-C
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'Erlang
TriggersyesyesCallbacks are triggered when data changesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency
Foreign keys infoReferential integrityyesnonono infolinks between datasets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesyes, based on authentication and database rulesno
More information provided by the system vendor
AntDBApache IoTDBFirebase Realtime DatabaseRiak TS
Specific characteristicsAntDB was initiated in 2008. On the core system of operators, AntDB provides online...
» more
Competitive advantagesHTAP mixed load: AntDB is a universal, enterprise-level distributed relational database,...
» more
Typical application scenariosAs the core software of large enterprise, AntDB supports multi-scenario deployment....
» more
Key customersChina Mobile, China Telecom, China Unicom, Aeon Life, China Mobile Tietong, CITIC...
» more
Market metricsMore than 1 billion subscribers in 24 provinces across China are served by AntDB...
» more
Licensing and pricing modelsCertificates and licenses CMMI5 Certificate licensed by CMMI Institute IT Product...
» more

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More resources
AntDBApache IoTDBFirebase Realtime DatabaseRiak TS
DB-Engines blog posts

AntDB: Answer to Database Evolution - Hyperconverged All-in-One Streaming Engine
22 June 2023,  Bei Mo, AntDB (sponsor) 

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