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DBMS > Alibaba Cloud Table Store vs. Apache IoTDB vs. Riak TS vs. Solr

System Properties Comparison Alibaba Cloud Table Store vs. Apache IoTDB vs. Riak TS vs. Solr

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Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonApache IoTDB  Xexclude from comparisonRiak TS  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelWide column storeTime Series DBMSTime Series DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.28
Rank#307  Overall
#27  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.alibabacloud.com/­product/­table-storeiotdb.apache.orgsolr.apache.org
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.tiot.jp/­riak-docs/­riak/­ts/­latestsolr.apache.org/­resources.html
DeveloperAlibabaApache Software FoundationOpen Source, formerly Basho TechnologiesApache Software Foundation
Initial release2016201820152006
Current release1.1.0, April 20233.0.0, September 20229.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open SourceOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangJava
Server operating systemshostedAll OS with a Java VM (>= 1.8)Linux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeyesschema-freeyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesnoyes infosupports customizable data types and automatic typing
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 indexesnoyesrestrictedyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like query languageyes, limitedSolr Parallel SQL Interface
APIs and other access methodsHTTP APIJDBC
Native API
HTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
Python
C
C#
C++
Go
Java
Python
Scala
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnoyesErlangJava plugins
Triggersnoyesyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparkyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsnonooptimistic locking
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.noyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensyesnoyes

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Alibaba Cloud Table StoreApache IoTDBRiak TSSolr
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