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DBMS > HyperSQL vs. InfluxDB vs. MonetDB vs. Realm

System Properties Comparison HyperSQL vs. InfluxDB vs. MonetDB vs. Realm

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonMonetDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDBMS for storing time series, events and metricsA relational database management system that stores data in columnsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSTime Series DBMSRelational DBMSDocument store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.38
Rank#68  Overall
#38  Relational DBMS
Score24.96
Rank#28  Overall
#1  Time Series DBMS
Score1.96
Rank#126  Overall
#63  Relational DBMS
Score8.95
Rank#46  Overall
#8  Document stores
Websitehsqldb.orgwww.influxdata.com/­products/­influxdb-overviewwww.monetdb.orgrealm.io
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.influxdata.com/­influxdbwww.monetdb.org/­Documentationrealm.io/­docs
DeveloperMonetDB BVRealm, acquired by MongoDB in May 2019
Initial release2001201320042014
Current release2.5.2, June 20202.0.2, November 2020Oct2020, October 2020
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoMozilla Public License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X infothrough Homebrew
FreeBSD
Linux
OS X
Solaris
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query languageyes infoSQL 2003 with some extensionsno
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP API
JSON over UDP
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Java
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresJava, SQLnoyes, in SQL, C, Rno inforuns within the applications so server-side scripts are unnecessary
Triggersyesnoyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlySharding via remote tablesnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlynone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyes infoDepending on used storage engineyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsfine grained access rights according to SQL-standardyes
More information provided by the system vendor
HyperSQL infoalso known as HSQLDBInfluxDBMonetDBRealm
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Mobile Consumer Apps First-Line Worker Apps
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more
Realm database is licensed under the Apache License v2.0.
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
HyperSQL infoalso known as HSQLDBInfluxDBMonetDBRealm
DB-Engines blog posts

Why Build a Time Series Data Platform?
20 July 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
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Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

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MySQL, PostgreSQL and Redis are the winners of the March ranking
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