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DBMS > DuckDB vs. InfluxDB vs. SingleStore vs. Valentina Server

System Properties Comparison DuckDB vs. InfluxDB vs. SingleStore vs. Valentina Server

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSDBMS for storing time series, events and metricsMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeObject-relational database and reports server
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.61
Rank#60  Overall
#34  Relational DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.18
Rank#313  Overall
#140  Relational DBMS
Websiteduckdb.orgwww.influxdata.com/­products/­influxdb-overviewwww.singlestore.comwww.valentina-db.net
Technical documentationduckdb.org/­docsdocs.influxdata.com/­influxdbdocs.singlestore.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperSingleStore Inc.Paradigma Software
Initial release2018201320131999
Current release1.0.0, June 20242.7.6, April 20248.5, January 20245.7.5
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoMIT-License; commercial enterprise version availablecommercial infofree developer edition availablecommercial
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++GoC++, Go
Server operating systemsserver-lessLinux
OS X infothrough Homebrew
Linux info64 bit version requiredLinux
OS X
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyesyes
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
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesSQL-like query languageyes infobut no triggers and foreign keysyes
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP API
JSON over UDP
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
ODBC
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Bash
C
C#
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonoyesyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoin enterprise version onlySharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor infoin enterprise version onlySource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyesyes
User concepts infoAccess controlnosimple rights management via user accountsFine grained access control via users, groups and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
DuckDBInfluxDBSingleStore infoformer name was MemSQLValentina Server
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
DuckDBInfluxDBSingleStore infoformer name was MemSQLValentina Server
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Recent citations in the news

My First Billion (of Rows) in DuckDB
1 May 2024, Towards Data Science

TigerEye Open Sources DuckDB.dart
15 August 2024, Datanami

DuckDB: The tiny but powerful analytics database
15 May 2024, InfoWorld

Unleashing Postgres for Analytics With DuckDB Integration
24 July 2024, The New Stack

TigerEye releases open-source DuckDB.dart to simplify data-intensive application development
15 August 2024, SiliconANGLE News

provided by Google News

InfluxData's Latest Updates Optimize Time Series Data for Better Performance, Scale and Management
19 September 2024, Integration Developers

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14 March 2024, AWS Blog

InfluxData avoids ’AI magic beans’ in InfluxDB time series database update for enterprises
4 September 2024, VentureBeat

InfluxData makes performance, storage improvements to InfluxDB 3.0
4 September 2024, InfoWorld

InfluxData Brings Higher Performance and New Features to InfluxDB 3.0 to Power Massive Time Series Workloads at Scale
4 September 2024, Yahoo Finance

provided by Google News

SingleStore Partners With Snowflake to Help Users Build Faster, More Efficient Real Time AI Applications
19 September 2024, Business Wire

Third time was the charm for SingleStore in the cloud, CEO says
8 July 2024, The Register

Achieve near real-time analytics on Amazon DynamoDB with SingleStore
16 September 2024, AWS Blog

SingleStore CEO sees little future for purpose-built vector databases
24 January 2024, VentureBeat

Building a Modern Database: Nikita Shamgunov on Postgres and Beyond
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A Look at Valentina
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