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DBMS > LevelDB vs. Quasardb vs. SiteWhere vs. TimescaleDB vs. VelocityDB

System Properties Comparison LevelDB vs. Quasardb vs. SiteWhere vs. TimescaleDB vs. VelocityDB

Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonQuasardb  Xexclude from comparisonSiteWhere  Xexclude from comparisonTimescaleDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, high-performance timeseries databaseM2M integration platform for persisting/querying time series dataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeTime Series DBMSTime Series DBMSTime Series DBMSGraph DBMS
Object oriented DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.33
Rank#111  Overall
#19  Key-value stores
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score0.07
Rank#347  Overall
#33  Time Series DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Score0.00
Rank#385  Overall
#40  Graph DBMS
#21  Object oriented DBMS
Websitegithub.com/­google/­leveldbquasar.aigithub.com/­sitewhere/­sitewherewww.timescale.comvelocitydb.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.quasar.ai/­mastersitewhere1.sitewhere.io/­index.htmldocs.timescale.comvelocitydb.com/­UserGuide
DeveloperGooglequasardbSiteWhereTimescaleVelocityDB Inc
Initial release20112009201020172011
Current release1.23, February 20213.14.1, January 20242.15.0, May 20247.x
License infoCommercial or Open SourceOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache 2.0commercial
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 languageC++C++JavaCC#
Server operating systemsIllumos
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Any that supports .NET
Data schemeschema-freeschema-freepredefined schemeyesyes
Typing infopredefined data types such as float or datenoyes infointeger and binaryyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nononoyesno
Secondary indexesnoyes infowith tagsnoyesyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infofull PostgreSQL SQL syntaxno
APIs and other access methodsHTTP APIHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
Server-side scripts infoStored proceduresnonouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellno
TriggersnonoyesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoconsistent hashingSharding infobased on HBaseyes, across time and space (hash partitioning) attributesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with selectable replication factorselectable replication factor infobased on HBaseSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyes infoby using LevelDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modenonoyes
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardBased on Windows Authentication

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More resources
LevelDBQuasardbSiteWhereTimescaleDBVelocityDB
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