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DBMS > HyperSQL vs. LevelDB vs. RavenDB vs. RDF4J vs. Sqrrl

System Properties Comparison HyperSQL vs. LevelDB vs. RavenDB vs. RDF4J vs. Sqrrl

Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Adaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSKey-value storeDocument storeRDF storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.30
Rank#83  Overall
#45  Relational DBMS
Score3.32
Rank#100  Overall
#16  Key-value stores
Score3.47
Rank#95  Overall
#16  Document stores
Score0.72
Rank#234  Overall
#9  RDF stores
Websitehsqldb.orggithub.com/­google/­leveldbravendb.netrdf4j.orgsqrrl.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docsrdf4j.org/­documentation
DeveloperGoogleHibernating RhinosSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Amazon infooriginally Sqrrl Data, Inc.
Initial release20012011201020042012
Current release2.7.2, June 20231.23, February 20215.4, July 2022
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen Source infoEclipse Distribution License (EDL), v1.0.commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C#JavaJava
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesIllumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Unix
Windows
Linux
Data schemeyesschema-freeschema-freeyes infoRDF Schemasschema-free
Typing infopredefined data types such as float or dateyesnonoyesyes
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.nono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnoSQL-like query language (RQL)nono
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesAll languages supporting JDBC/ODBC
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
PHP
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresJava, SQLnoyesyesno
Triggersyesnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replicationnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID, Cluster-wide transaction availableACID infoIsolation support depends on the API usedAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAuthorization levels configured per client per databasenoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
HyperSQL infoalso known as HSQLDBLevelDBRavenDBRDF4J infoformerly known as SesameSqrrl
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