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DBMS > Apache IoTDB vs. Datomic vs. SAP SQL Anywhere vs. Teradata Aster vs. Tkrzw

System Properties Comparison Apache IoTDB vs. Datomic vs. SAP SQL Anywhere vs. Teradata Aster vs. Tkrzw

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDatomic  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
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 FlinkDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsPlatform for big data analytics on multistructured data sources and typesA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.95
Rank#80  Overall
#42  Relational DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websiteiotdb.apache.orgwww.datomic.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmldbmx.net/­tkrzw
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.datomic.comhelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperApache Software FoundationCognitectSAP infoformerly SybaseTeradataMikio Hirabayashi
Initial release20182012199220052020
Current release1.1.0, April 20231.0.6735, June 202317, July 20150.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infolimited edition freecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, ClojureC++
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMAIX
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinux
macOS
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-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.nonoyesyes infoin Aster File Storeno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenoyesyesno
APIs and other access methodsJDBC
Native API
RESTful HTTP APIADO.NET
HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Clojure
Java
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyes, in C/C++, Java, .Net or PerlR packagesno
TriggersyesBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)none infoBut extensive use of caching in the application peersnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasnone infoBut extensive use of caching in the application peersSource-replica replication infoDatabase mirroringyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyesnoyes infousing specific database classes
User concepts infoAccess controlyesnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Apache IoTDBDatomicSAP SQL Anywhere infoformerly called Adaptive Server AnywhereTeradata AsterTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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