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DBMS > HEAVY.AI vs. LevelDB vs. RDF4J vs. RRDtool vs. Sequoiadb

System Properties Comparison HEAVY.AI vs. LevelDB vs. RDF4J vs. RRDtool vs. Sequoiadb

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonLevelDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRRDtool  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.Industry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.NewSQL database with distributed OLTP and SQL
Primary database modelRelational DBMSKey-value storeRDF storeTime Series DBMSDocument store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score2.75
Rank#107  Overall
#19  Key-value stores
Score0.71
Rank#231  Overall
#9  RDF stores
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Score0.48
Rank#260  Overall
#41  Document stores
#121  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­google/­leveldbrdf4j.orgoss.oetiker.ch/­rrdtoolwww.sequoiadb.com
Technical documentationdocs.heavy.aigithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdrdf4j.org/­documentationoss.oetiker.ch/­rrdtool/­docwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperHEAVY.AI, Inc.GoogleSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.Tobias OetikerSequoiadb Ltd.
Initial release20162011200419992013
Current release5.10, January 20221.23, February 20211.8.0, 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availableOpen Source infoBSDOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source infoGPL V2 and FLOSSOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC++JavaC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsLinuxIllumos
Linux
OS X
Windows
Linux
OS X
Unix
Windows
HP-UX
Linux
Linux
Data schemeyesschema-freeyes infoRDF Schemasyesschema-free
Typing infopredefined data types such as float or dateyesnoyesNumeric data onlyyes infooid, date, timestamp, binary, regex
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 infoExporting into and restoring from XML files possibleno
Secondary indexesnonoyesnoyes
SQL infoSupport of SQLyesnononoSQL-like query language
APIs and other access methodsJDBC
ODBC
Thrift
Vega
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
in-process shared library
Pipes
proprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Java
PHP
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyesnoJavaScript
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnonenonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonenonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneEventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infoIsolation support depends on the API usednoDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyes infoin-memory storage is supported as wellyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnononosimple password-based access control

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022LevelDBRDF4J infoformerly known as SesameRRDtoolSequoiadb
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