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DBMS > Apache IoTDB vs. EsgynDB vs. InfluxDB vs. jBASE vs. Yaacomo

System Properties Comparison Apache IoTDB vs. EsgynDB vs. InfluxDB vs. jBASE vs. Yaacomo

Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonEsgynDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonjBASE  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is 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 FlinkEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionDBMS for storing time series, events and metricsA robust multi-value DBMS comprising development tools and middlewareOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelTime Series DBMSRelational DBMSTime Series DBMSMultivalue DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score24.39
Rank#28  Overall
#1  Time Series DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Websiteiotdb.apache.orgwww.esgyn.cnwww.influxdata.com/­products/­influxdb-overviewwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseyaacomo.com
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmldocs.influxdata.com/­influxdbdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperApache Software FoundationEsgynRocket Software (formerly Zumasys)Q2WEB GmbH
Initial release20182015201319912009
Current release1.1.0, April 20232.7.6, April 20245.7
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoMIT-License; commercial enterprise version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, JavaGo
Server operating systemsAll OS with a Java VM (>= 1.8)LinuxLinux
OS X infothrough Homebrew
AIX
Linux
Windows
Android
Linux
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsoptionalyes
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.nononoyesno
Secondary indexesyesyesnoyes
SQL infoSupport of SQLSQL-like query languageyesSQL-like query languageEmbedded SQL for jBASE in BASICyes
APIs and other access methodsJDBC
Native API
ADO.NET
JDBC
ODBC
HTTP API
JSON over UDP
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresyesJava Stored Proceduresnoyes
Triggersyesnonoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)ShardingSharding infoin enterprise version onlyShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication between multi datacentersselectable replication factor infoin enterprise version onlyyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparkyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnoyes infoDepending on used storage engineyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardsimple rights management via user accountsAccess rights can be defined down to the item levelfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache IoTDBEsgynDBInfluxDBjBASEYaacomo
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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