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DBMS > HyperSQL vs. InfluxDB vs. OceanBase vs. Oracle vs. Oracle NoSQL

System Properties Comparison HyperSQL vs. InfluxDB vs. OceanBase vs. Oracle vs. Oracle NoSQL

Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonOceanBase  Xexclude from comparisonOracle  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBDBMS for storing time series, events and metricsA distributed, high available RDBMS compatible with Oracle and MySQLWidely used RDBMSA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Wide column store
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score25.83
Rank#28  Overall
#1  Time Series DBMS
Score1.66
Rank#147  Overall
#68  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Score2.95
Rank#100  Overall
#17  Document stores
#17  Key-value stores
#50  Relational DBMS
Websitehsqldb.orgwww.influxdata.com/­products/­influxdb-overviewen.oceanbase.comwww.oracle.com/­databasewww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.influxdata.com/­influxdben.oceanbase.com/­docs/­oceanbase-databasedocs.oracle.com/­en/­databasedocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperOceanBase infopreviously Alibaba and Ant GroupOracleOracle
Initial release20012013201019802011
Current release2.7.2, June 20232.7.6, April 20244.3.0, April 202423c, September 202323.3, December 2023
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoCommercial license availablecommercial inforestricted free version is availableOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
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 languageJavaGoC++C and C++Java
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinux
OS X infothrough Homebrew
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Solaris SPARC/x86
Data schemeyesschema-freeyesyes infoSchemaless in JSON and XML columnsSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyesoptional
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.nonoyesyesno
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyesyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
HTTP API
JSON over UDP
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
RESTful HTTP API
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
Ada infoin MySQL-compatible model
C infoin Oracle- and MySQL- compatible models
C++ infoin Oracle- and MySQL- compatible models
D infoin MySQL-compatible model
Delphi infoin MySQL-compatible model
Eiffel infoin MySQL-compatible model
Erlang infoin MySQL-compatible model
Haskell infoin MySQL-compatible model
Java infoin Oracle- and MySQL- compatible models
JavaScript (Node.js) infoin MySQL-compatible model
Objective-C infoin MySQL-compatible model
OCaml infoin MySQL-compatible model
Perl infoin MySQL-compatible model
PHP infoin MySQL-compatible model
Python infoin MySQL-compatible model
Ruby infoin MySQL-compatible model
Scheme infoin MySQL-compatible model
Tcl infoin MySQL-compatible model
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJava, SQLnoPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modePL/SQL infoalso stored procedures in Java possibleno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlyhorizontal partitioning (by hash, key, range, range columns, list, and list columns)Sharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlyMulti-source replication using PaxosMulti-source replication
Source-replica replication
Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan be realized in PL/SQLwith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infoisolation level can be parameterizedconfigurable infoACID within a storage node (=shard)
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.yesyes infoDepending on used storage engineyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes infooff heap cache
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accountsAccess rights for users, groups and roles according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles
More information provided by the system vendor
HyperSQL infoalso known as HSQLDBInfluxDBOceanBaseOracleOracle NoSQL
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
News

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29 May 2024

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23 May 2024

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21 May 2024

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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 HSQLDBInfluxDBOceanBaseOracleOracle NoSQL
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 is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond
25 November 2016, Tony Branson (guest author)

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Conferences, events and webinars

Oracle Cloud World
Las Vegas, 9-12 September 2024

Recent citations in the news

HyperSQL DataBase flaw leaves library vulnerable to RCE
24 October 2022, The Daily Swig

Introduction to JDBC with HSQLDB tutorial
14 November 2022, TheServerSide.com

provided by Google News

Run and manage open source InfluxDB databases with Amazon Timestream | Amazon Web Services
14 March 2024, AWS Blog

Amazon Timestream: Managed InfluxDB for Time Series Data
14 March 2024, The New Stack

InfluxData Collaborating with AWS to Bring InfluxDB and Time Series Analytics to Developers Around the World
14 March 2024, Business Wire

How the FDAP Stack Gives InfluxDB 3.0 Real-Time Speed, Efficiency
15 March 2024, Datanami

AWS and InfluxData partner to offer managed time series database Timestream for InfluxDB
5 April 2024, VentureBeat

provided by Google News

OceanBase Inks Agreement with NTU Singapore in Database Optimization and Green Computing Advancements
31 January 2024, PR Newswire

Ant Group Will Cut Foreign Investors Out of Fast-Growing Database Business
22 August 2023, The Information

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25 March 2024, Fintech News Singapore

Alibaba's OceanBase distributed database aims at markets outside China
16 August 2022, InfoWorld

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21 May 2024, blogs.oracle.com

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OpenWorld 2013: Oracle NoSQL Database On the Rise?
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Oracle Defends Relational DBs Against NoSQL Competitors
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