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DBMS > Apache IoTDB vs. Derby vs. Geode vs. GeoMesa vs. JSqlDb

System Properties Comparison Apache IoTDB vs. Derby vs. Geode vs. GeoMesa vs. JSqlDb

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGeode  Xexclude from comparisonGeoMesa  Xexclude from comparisonJSqlDb  Xexclude from comparison
JSqlDB seems to be discontinued. Therefore it is excluded 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 FlinkFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.JavaScript Query Language Database, stores JavaScript objects and primitives
Primary database modelTime Series DBMSRelational DBMSKey-value storeSpatial DBMSDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score1.92
Rank#131  Overall
#23  Key-value stores
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Websiteiotdb.apache.orgdb.apache.org/­derbygeode.apache.orgwww.geomesa.orgjsqldb.org (offline)
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldb.apache.org/­derby/­manuals/­index.htmlgeode.apache.org/­docswww.geomesa.org/­documentation/­stable/­user/­index.html
DeveloperApache Software FoundationApache Software FoundationOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.CCRi and othersKonrad von Backstrom
Initial release20181997200220142018
Current release1.1.0, April 202310.17.1.0, November 20231.1, February 20174.0.5, February 20240.8, December 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoApache License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScala
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
macOS
Windows
Data schemeyesyesschema-freeyesschema-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.noyesnonono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language (OQL)nono
APIs and other access methodsJDBC
Native API
JDBCJava Client API
Memcached protocol
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java.Net
All JVM based languages
C++
Groovy
Java
Scala
JavaScript
Server-side scripts infoStored proceduresyesJava Stored Proceduresuser defined functionsnofunctions in JavaScript
Triggersyesyesyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingdepending on storage layernone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasSource-replica replicationMulti-source replicationdepending on storage layernone
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual Consistencydepending on storage layer
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infousing RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesdepending on storage layer
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights per client and object definableyes infodepending on the DBMS used for storage

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More resources
Apache IoTDBDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGeodeGeoMesaJSqlDb
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