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DBMS > Amazon DocumentDB vs. Apache IoTDB vs. H2 vs. InfluxDB

System Properties Comparison Amazon DocumentDB vs. Apache IoTDB vs. H2 vs. InfluxDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonH2  Xexclude from comparisonInfluxDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceAn 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.DBMS for storing time series, events and metrics
Primary database modelDocument storeTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score1.19
Rank#176  Overall
#15  Time Series DBMS
Score8.22
Rank#50  Overall
#32  Relational DBMS
Score26.56
Rank#28  Overall
#1  Time Series DBMS
Websiteaws.amazon.com/­documentdbiotdb.apache.orgwww.h2database.comwww.influxdata.com/­products/­influxdb-overview
Technical documentationaws.amazon.com/­documentdb/­resourcesiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.h2database.com/­html/­main.htmldocs.influxdata.com/­influxdb
DeveloperApache Software FoundationThomas Mueller
Initial release2019201820052013
Current release1.1.0, April 20232.2.220, July 20232.7.5, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoMIT-License; commercial enterprise version available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaGo
Server operating systemshostedAll OS with a Java VM (>= 1.8)All OS with a Java VMLinux
OS X infothrough Homebrew
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumeric data and Strings
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLnoSQL-like query languageyesSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBC
Native API
JDBC
ODBC
HTTP API
JSON over UDP
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C
C#
C++
Go
Java
Python
Scala
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Server-side scripts infoStored proceduresnoyesJava Stored Procedures and User-Defined Functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by time range) + vertical partitioning (by deviceId)noneSharding infoin enterprise version only
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasselectable 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 factor infoin enterprise version only
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Integration with Hadoop and Sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Immediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoDepending on used storage engine
User concepts infoAccess controlAccess rights for users and rolesyesfine grained access rights according to SQL-standardsimple rights management via user accounts
More information provided by the system vendor
Amazon DocumentDBApache IoTDBH2InfluxDB
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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