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DBMS > DataFS vs. QuestDB vs. Tarantool

System Properties Comparison DataFS vs. QuestDB vs. Tarantool

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonQuestDB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.A high performance open source SQL database for time series dataIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelObject oriented DBMSTime Series DBMSKey-value store
Secondary database modelsGraph DBMSRelational DBMSDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#389  Overall
#21  Object oriented DBMS
Score2.49
Rank#135  Overall
#10  Time Series DBMS
Score2.01
Rank#155  Overall
#27  Key-value stores
Websitenewdatabase.comquestdb.iowww.tarantool.io
Technical documentationdev.mobiland.com/­Overview.xspquestdb.io/­docs/­introductionwww.tarantool.io/­en/­doc
DeveloperMobiland AGQuestDB LimitedVK
Initial release201820142008
Current release1.1.263, October 20222.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSD
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.
Implementation languageJavaC and C++
Server operating systemsWindowsLinux
macOS
Windows
BSD
Linux
macOS
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yes infoschema-free via InfluxDB Line Protocolschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesstring, double, decimal, uuid, integer, blob, boolean
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 indexesnonoyes
SQL infoSupport of SQLnoSQL-like query languageFull-featured ANSI SQL support
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Open binary protocol
Supported programming languages.Net
C
C#
C++
VB.Net
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresnoLua, C and SQL stored procedures
Triggersno, except callback-events from server when changes happenednoyes
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemhorizontal partitioning (by timestamps)Hash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable consistency for N replicasMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes, with SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesACID, read commited
Concurrency infoSupport for concurrent manipulation of datayesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyesyes, regular snapshots on disk, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped filesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlWindows-ProfileAccess rights for users and roles
More information provided by the system vendor
DataFSQuestDBTarantool
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

Getting Started with QuestDB Cloud
1 June 2023

Exploring Financial Tick Data with Jupyter Notebook and Pandas
22 May 2023

Time-Series Data Visualization with Apache Superset and QuestDB
19 May 2023

Optimizing the Optimizer: the Time-Series Benchmark Suite
18 May 2023

QuestDB 7.1.2 Release
16 May 2023

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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
DataFSQuestDBTarantool
DB-Engines blog posts

Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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