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DBMS > Apache IoTDB vs. Realm vs. Riak TS vs. SAP SQL Anywhere

System Properties Comparison Apache IoTDB vs. Realm vs. Riak TS vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonRealm  Xexclude from comparisonRiak TS  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelTime Series DBMSDocument storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#159  Overall
#14  Time Series DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score0.17
Rank#318  Overall
#27  Time Series DBMS
Score3.50
Rank#81  Overall
#44  Relational DBMS
Websiteiotdb.apache.orgrealm.iowww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlrealm.io/­docswww.tiot.jp/­riak-docs/­riak/­ts/­latesthelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software FoundationRealm, acquired by MongoDB in May 2019Open Source, formerly Basho TechnologiesSAP infoformerly Sybase
Initial release2018201420151992
Current release1.1.0, April 20233.0.0, September 202217, July 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open SourceOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaErlang
Server operating systemsAll OS with a Java VM (>= 1.8)Android
Backend: server-less
iOS
Windows
Linux
OS X
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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 indexesyesyesrestrictedyes
SQL infoSupport of SQLSQL-like query languagenoyes, limitedyes
APIs and other access methodsJDBC
Native API
HTTP API
Native Erlang Interface
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
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
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesno inforuns within the applications so server-side scripts are unnecessaryErlangyes, in C/C++, Java, .Net or Perl
Triggersyesyes infoChange Listenersyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnoneselectable replication factorSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 infoIn-Memory realmyes
User concepts infoAccess controlyesyesnofine grained access rights according to SQL-standard

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