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DBMS > Datomic vs. QuestDB vs. Tarantool

System Properties Comparison Datomic vs. QuestDB vs. Tarantool

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonQuestDB  Xexclude from comparisonTarantool  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA 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 modelRelational DBMSTime Series DBMSKey-value store
Secondary database modelsRelational DBMSDocument store
Relational DBMS
Spatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.14
Rank#132  Overall
#67  Relational DBMS
Score1.74
Rank#147  Overall
#13  Time Series DBMS
Score1.77
Rank#146  Overall
#27  Key-value stores
Websitewww.datomic.comquestdb.iowww.tarantool.io
Technical documentationdocs.datomic.comquestdb.io/­docs/­introductionwww.tarantool.io/­en/­doc
DeveloperCognitectQuestDB LimitedVK
Initial release201220142008
Current release1.0.6362, January 20222.10.0, May 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen 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 languageJava, ClojureJavaC and C++
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
BSD
Linux
macOS
Data schemeyesyes 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 indexesyesnoyes
SQL infoSupport of SQLnoSQL-like query languageFull-featured ANSI SQL support
APIs and other access methodsRESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
Open binary protocol
Supported programming languagesClojure
Java
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 proceduresyes infoTransaction FunctionsnoLua, C and SQL stored procedures
TriggersBy using transaction functionsnoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning (by timestamps)Hash sharding based on virtual buckets
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersConfigurable 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 integritynonoyes, 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 persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes, 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.yes inforecommended only for testing and developmentyes infothrough memory mapped filesyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlnoAccess rights for users and roles
More information provided by the system vendor
DatomicQuestDBTarantool
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

Listen to Your CPU - Full-table Scans Are Fast
30 November 2022

QuestDB 6.6.1 - Dynamic Commits
25 November 2022

SQL Extensions for Time Series Data in QuestDB - Part II
23 November 2022

QuestDB 6.5.5 Release
14 November 2022

QuestDB at Devoxx Belgium 2022
8 November 2022

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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
DatomicQuestDBTarantool
DB-Engines blog posts

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

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Recent citations in the news

The Architecture of Datomic
2 November 2012, InfoQ.com

Low-resolution description of the conformational space for intrinsically disordered proteins | Scientific Reports
9 November 2022, Nature.com

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30 July 2020, Nearshore Americas

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1 November 2022, GlobeNewswire

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

QuestDB nabs $2.3M seed to build open source time series database
2 July 2020, TechCrunch

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

Build a Real-time Stock Price Dashboard With Python, QuestDB and Plotly
6 November 2021, hackernoon.com

provided by Google News

Tarantool: A Lua-based database engine
13 April 2016, Opensource.com

provided by Google News

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