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DBMS > HyperSQL vs. InfluxDB vs. Realm vs. SAP SQL Anywhere

System Properties Comparison HyperSQL vs. InfluxDB vs. Realm vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonRealm  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDBMS for storing time series, events and metricsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSTime Series DBMSDocument storeRelational DBMS
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
Score8.95
Rank#46  Overall
#8  Document stores
Score6.22
Rank#61  Overall
#34  Relational DBMS
Websitehsqldb.orgwww.influxdata.com/­products/­influxdb-overviewrealm.iowww.sap.com/­products/­sql-anywhere.html
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.influxdata.com/­influxdbrealm.io/­docshelp.sap.com/­sql-anywhere
DeveloperRealm, acquired by MongoDB in May 2019SAP infoformerly Sybase
Initial release2001201320141992
Current release2.5.2, June 20202.0.2, November 202017, July 2015
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoMIT-License; commercial enterprise version availableOpen Sourcecommercial
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 languageJavaGo
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X infothrough Homebrew
Android
Backend: server-less
iOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
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.nononoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query languagenoyes
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP API
JSON over UDP
ADO.NET
HTTP API
JDBC
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
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresJava, SQLnono inforuns within the applications so server-side scripts are unnecessaryyes, in C/C++, Java, .Net or Perl
Triggersyesnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlynonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlynoneSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
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 realmyes
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
HyperSQL infoalso known as HSQLDBInfluxDBRealmSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» 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
Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
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Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
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Mobile Consumer Apps First-Line Worker Apps
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
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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
Realm database is licensed under the Apache License v2.0.
» more
News

Tracking CS:GO Stats with InfluxDB
24 November 2020

InfluxDB Cloud is on AWS US East
23 November 2020

Release Announcement: InfluxDB OSS 2.0.2
19 November 2020

Event Highlights: InfluxDays North America 2020 Virtual Experience
18 November 2020

Achieve Better Observability into AWS Services with the AWS CloudWatch Monitoring Template
17 November 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
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 HSQLDBInfluxDBRealmSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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
4 July 2016, Matthias Gelbmann

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
2 March 2016, Paul Andlinger

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