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DBMS > LevelDB vs. Postgres-XL vs. QuestDB vs. Valentina Server

System Properties Comparison LevelDB vs. Postgres-XL vs. QuestDB vs. Valentina Server

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Editorial information provided by DB-Engines
NameLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonQuestDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA high performance open source SQL database for time series dataObject-relational database and reports server
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.05
Rank#103  Overall
#19  Key-value stores
Score0.69
Rank#210  Overall
#103  Relational DBMS
Score0.89
Rank#184  Overall
#13  Time Series DBMS
Score0.25
Rank#274  Overall
#127  Relational DBMS
Websitegithub.com/­google/­leveldbwww.postgres-xl.orgquestdb.iowww.valentina-db.net
Technical documentationgithub.com/­google/­leveldb/­blob/­master/­doc/­index.mdwww.postgres-xl.org/­documentationquestdb.io/­docs/­introductionvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGoogleQuestDB LimitedParadigma Software
Initial release20112014 infosince 2012, originally named StormDB20141999
Current release1.23, February 202110 R1, October 20185.7.5
License infoCommercial or Open SourceOpen Source infoBSDOpen Source infoMozilla public licenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CJava
Server operating systemsIllumos
Linux
OS X
Windows
Linux
macOS
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or datenoyesyesyes
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.noyes infoXML type, but no XML query functionalityno
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyes infodistributed, parallel query executionSQL-like query languageyes
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
ODBC
Supported programming languagesC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functionsnoyes
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioninghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneConfigurable consistency for N replicas
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoMVCCACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infowith automatic compression on writesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
LevelDBPostgres-XLQuestDBValentina Server
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
News

Why I joined QuestDB as a core database engineer - Miguel Arregui
9 November 2021

How we built inter-thread messaging from scratch
3 November 2021

Demo geospatial and timeseries queries on 250k unique devices
4 October 2021

Join Hacktoberfest 2021 and contribute to QuestDB!
1 October 2021

High frequency finance with Julia and QuestDB
17 September 2021

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
LevelDBPostgres-XLQuestDBValentina Server
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