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DBMS > Heroic vs. HyperSQL vs. OceanBase vs. RDF4J vs. SingleStore

System Properties Comparison Heroic vs. HyperSQL vs. OceanBase vs. RDF4J vs. SingleStore

Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparisonOceanBase  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBA distributed, high available RDBMS compatible with Oracle and MySQLRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.MySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRDF storeRelational DBMS
Secondary database modelsDocument store
Wide column store
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score1.66
Rank#147  Overall
#68  Relational DBMS
Score0.69
Rank#230  Overall
#9  RDF stores
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitegithub.com/­spotify/­heroichsqldb.orgen.oceanbase.comrdf4j.orgwww.singlestore.com
Technical documentationspotify.github.io/­heroichsqldb.org/­web/­hsqlDocsFrame.htmlen.oceanbase.com/­docs/­oceanbase-databaserdf4j.org/­documentationdocs.singlestore.com
DeveloperSpotifyOceanBase infopreviously Alibaba and Ant GroupSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.SingleStore Inc.
Initial release20142001201020042013
Current release2.7.2, June 20234.3.0, April 20248.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infobased on BSD licenseOpen Source infoCommercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial infofree developer edition available
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.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaJavaC++JavaC++, Go
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinux
OS X
Unix
Windows
Linux info64 bit version required
Data schemeschema-freeyesyesyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonoyesno
Secondary indexesyes infovia Elasticsearchyesyesyesyes
SQL infoSupport of SQLnoyesyesnoyes infobut no triggers and foreign keys
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Proprietary native API
Table API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC
Java
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
Java
PHP
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoJava, SQLPL/SQL in oracle-compatible mode, MySQL Stored Procedure in mysql-compatible modeyesyes
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by hash, key, range, range columns, list, and list columns)noneSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication using PaxosnoneSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes infoin-memory storage is supported as wellyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnoFine grained access control via users, groups and roles
More information provided by the system vendor
HeroicHyperSQL infoalso known as HSQLDBOceanBaseRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQL
Specific characteristicsOceanBase Database is the world’s only native distributed database that has set new...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesHigh Availability : The five IDCs across three sites disaster recovery solution sets...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersOceanBase Database has helped over 400 customers across industries upgrade their...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsTPC-C No.1 Performance , achieved a result of 707.35 million tpmC in the TPC-C benchmark...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsMulan PubL v2 license for open source community edition. Commercial license for enterprise...
» more
F ree Tier and Enterprise Edition
» more

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More resources
HeroicHyperSQL infoalso known as HSQLDBOceanBaseRDF4J infoformerly known as SesameSingleStore infoformer name was MemSQL
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