DBMS > Apache IoTDB vs. Derby vs. EXASOL
System Properties Comparison Apache IoTDB vs. Derby vs. EXASOL
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|Editorial information provided by DB-Engines|
|Name||Apache IoTDB Xexclude from comparison||Derby often called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB Xexclude from comparison||EXASOL Xexclude from comparison|
|Description||An IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and Flink||Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.||High-performance, in-memory, MPP database specifically designed for in-memory analytics.|
|Primary database model||Time Series DBMS||Relational DBMS||Relational DBMS|
|Developer||Apache Software Foundation||Apache Software Foundation||Exasol|
|Current release||1.1.0, April 2023||10.16.1.1, May 2022|
|License Commercial or Open Source||Open Source Apache Version 2.0||Open Source Apache version 2||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Server operating systems||All OS with a Java VM (>= 1.8)||All OS with a Java VM|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||no||yes||no|
|SQL Support of SQL||SQL-like query language||yes||yes|
|APIs and other access methods||JDBC|
|Supported programming languages||C|
|Server-side scripts Stored procedures||yes||Java Stored Procedures||user defined functions|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning (by time range) + vertical partitioning (by deviceId)||none||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||selectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicas||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||Integration with Hadoop and Spark||no||yes Hadoop integration|
|Consistency concepts Methods to ensure consistency in a distributed system||Eventual Consistency|
Strong Consistency with Raft
|Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||no||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||no||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||yes||yes||yes|
|User concepts Access control||yes||fine grained access rights according to SQL-standard||Access rights for users, groups and roles according to SQL-standard|
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|Apache IoTDB||Derby often called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB||EXASOL|
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