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DBMS > QuestDB vs. Tarantool vs. Valentina Server vs. Vitess

System Properties Comparison QuestDB vs. Tarantool vs. Valentina Server vs. Vitess

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonTarantool  Xexclude from comparisonValentina Server  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionA high performance open source SQL database for time series dataIn-memory computing platform with a flexible data schema for efficiently building high-performance applicationsObject-relational database and reports serverScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelTime Series DBMSDocument store
Key-value store
Relational DBMS
Relational DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS infowith Tarantool/GIS extensionDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitequestdb.iowww.tarantool.iowww.valentina-db.netvitess.io
Technical documentationquestdb.io/­docswww.tarantool.io/­en/­docvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpvitess.io/­docs
DeveloperQuestDB Technology IncVKParadigma SoftwareThe Linux Foundation, PlanetScale
Initial release2014200819992013
Current release2.10.0, May 20225.7.515.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool EnterprisecommercialOpen Source infoApache Version 2.0, commercial licenses available
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 languageJava (Zero-GC), C++, RustC and C++Go
Server operating systemsLinux
macOS
Windows
BSD
Linux
macOS
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyes infoschema-free via InfluxDB Line ProtocolFlexible data schema: relational definition for tables with ability to store json-like documents in columnsyesyes
Typing infopredefined data types such as float or dateyesstring, double, decimal, uuid, integer, blob, boolean, datetimeyesyes
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.nono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL with time-series extensionsFull-featured ANSI SQL supportyesyes infowith proprietary extensions
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Open binary protocolODBCADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoLua, C and SQL stored proceduresyesyes infoproprietary syntax
Triggersnoyes, before/after data modification events, on replication events, client session eventsyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)Sharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistencyAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Eventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactionsACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes, cooperative multitaskingyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes, write ahead loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes, full featured in-memory storage engine with persistenceyesyes
User concepts infoAccess controlAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
fine grained access rights according to SQL-standardUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
QuestDBTarantoolValentina ServerVitess
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
News

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8 May 2024

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6 May 2024

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12 April 2024

Create an ADS-B flight radar with QuestDB and a Raspberry Pi
8 April 2024

Build a temperature IoT sensor with Raspberry Pi Pico & QuestDB
5 April 2024

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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
QuestDBTarantoolValentina ServerVitess
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

AWS Marketplace: QuestDB Cloud Comments
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