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DBMS > Dolt vs. InfluxDB vs. SingleStore

System Properties Comparison Dolt vs. InfluxDB vs. SingleStore

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonInfluxDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaDBMS 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 type
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument storeSpatial DBMS infowith GEO packageDocument store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#212  Overall
#103  Relational DBMS
Score30.09
Rank#28  Overall
#1  Time Series DBMS
Score6.66
Rank#59  Overall
#33  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.influxdata.com/­products/­influxdb-overviewwww.singlestore.com
Technical documentationdocs.dolthub.comdocs.influxdata.com/­influxdbdocs.singlestore.com
DeveloperDoltHub IncSingleStore Inc.
Initial release201820132013
Current release2.0.8, August 20217.6, November 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT-License; commercial enterprise version availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStore Managed Service: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageGoGoC++, Go
Server operating systemsLinux
macOS
Windows
Linux
OS X infothrough Homebrew
Linux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data and Stringsyes
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 indexesyesnoyes
SQL infoSupport of SQLyesSQL-like query languageyes infobut no triggers and foreign keys
APIs and other access methodsCLI Client
HTTP REST
HTTP API
JSON over UDP
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.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
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoyes
Triggersyesnono
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 nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.selectable 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 calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, 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.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoDepending on used storage engineyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupsimple rights management via user accountsFine grained access control via users, groups and roles
More information provided by the system vendor
DoltInfluxDBSingleStore infoformer name was MemSQL
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
SingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesTime to Value An end-to-end platform, InfluxData is ready to go on the cloud or via...
» more
SingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosIoT & Sensor Monitoring Instrumentation of every available surface in the material...
» more
Driving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersInfluxData has over 630 paying customers, including IBM, PayPal, Siemens Tesla and...
» more
IEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsFastest growing database to garnish 17,000 github stars Over 260,000 daily active...
» more
Customers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
F ree Tier and Enterprise Edition
» more
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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
DoltInfluxDBSingleStore infoformer name was MemSQL
DB-Engines blog posts

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Conferences and events

Distributed SQL Architecture: A Primer on Rowstore and Columnstore Databases
Webinar, 10am PST, 1 February 2022

Databases and DevOps. TechTalk with Joe Karlsson (SingleStore) and Rizel Scarlett (GitHub)
Webinar, 9 am PST, 9 February 2022

Migrating from PostgreSQL to Drive 20-100x Faster Performance
Webinar, 10am PST, 15 February 2022

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