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DBMS > Apache IoTDB vs. H2 vs. Hive vs. JaguarDB vs. Solr

System Properties Comparison Apache IoTDB vs. H2 vs. Hive vs. JaguarDB vs. Solr

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparisonJaguarDB  Xexclude from comparisonSolr  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 FlinkFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.data warehouse software for querying and managing large distributed datasets, built on HadoopPerformant, highly scalable DBMS for AI and IoT applicationsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelTime Series DBMSRelational DBMSRelational DBMSKey-value store
Vector DBMS
Search engine
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteiotdb.apache.orgwww.h2database.comhive.apache.orgwww.jaguardb.comsolr.apache.org
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.jaguardb.com/­support.htmlsolr.apache.org/­resources.html
DeveloperApache Software FoundationThomas MuellerApache Software Foundation infoinitially developed by FacebookDataJaguar, Inc.Apache Software Foundation
Initial release20182005201220152006
Current release1.1.0, April 20232.2.220, July 20233.1.3, April 20223.3 July 20239.6.0, April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2Open Source infoGPL V3.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++ infothe server part. Clients available in other languagesJava
Server operating systemsAll OS with a Java VM (>= 1.8)All OS with a Java VMAll OS with a Java VMLinuxAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyesyes 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 indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyesSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersSolr Parallel SQL Interface
APIs and other access methodsJDBC
Native API
JDBC
ODBC
JDBC
ODBC
Thrift
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
JavaC++
Java
PHP
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyesJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reducenoJava plugins
Triggersyesyesnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factorMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyes infoquery execution via MapReducenospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyEventual ConsistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardAccess rights for users, groups and rolesrights management via user accountsyes

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Apache IoTDBH2HiveJaguarDBSolr
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