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DBMS > LevelDB vs. Pinecone vs. Quasardb vs. Sequoiadb

System Properties Comparison LevelDB vs. Pinecone vs. Quasardb vs. Sequoiadb

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonPinecone  Xexclude from comparisonQuasardb  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA managed, cloud-native vector databaseDistributed, high-performance timeseries databaseNewSQL database with distributed OLTP and SQL
Primary database modelKey-value storeVector DBMSTime Series DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.25
Rank#115  Overall
#19  Key-value stores
Score3.23
Rank#92  Overall
#3  Vector DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.50
Rank#258  Overall
#41  Document stores
#120  Relational DBMS
Websitegithub.com/­google/­leveldbwww.pinecone.ioquasar.aiwww.sequoiadb.com
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.pinecone.io/­docs/­overviewdoc.quasar.ai/­masterwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperGooglePinecone Systems, IncquasardbSequoiadb Ltd.
Initial release2011201920092013
Current release1.23, February 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoBSDcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoServer: AGPL; Client: Apache V2
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++
Server operating systemsIllumos
Linux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Linux
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datenoString, Number, Booleanyes infointeger and binaryyes 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.nononono
Secondary indexesnoyes infowith tagsyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP APIproprietary protocol using JSON
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Python.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoJavaScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replication with selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDocument is locked during a transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeno
User concepts infoAccess controlnoCryptographically strong user authentication and audit trailsimple password-based access control

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More resources
LevelDBPineconeQuasardbSequoiadb
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