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DBMS > QuestDB vs. Sadas Engine vs. VictoriaMetrics

System Properties Comparison QuestDB vs. Sadas Engine vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameQuestDB  Xexclude from comparisonSadas Engine  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionA high performance open source SQL database for time series dataSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelTime Series DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.14
Rank#163  Overall
#12  Time Series DBMS
Score0.04
Rank#329  Overall
#142  Relational DBMS
Score0.56
Rank#233  Overall
#18  Time Series DBMS
Websitequestdb.iowww.sadasengine.comvictoriametrics.com
Technical documentationquestdb.io/­docs/­introductionwww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperQuestDB LimitedSADAS s.r.l.VictoriaMetrics
Initial release201420062018
Current release8.0v1.63, July 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree trial version availableOpen Source infoApache Version 2.0
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++Go
Server operating systemsLinux
macOS
Windows
AIX
Linux
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyes
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 indexesnoyes
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
JDBC
ODBC
Proprietary protocol
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable consistency for N replicasnoneSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infothrough memory mapped filesyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
QuestDBSadas EngineVictoriaMetrics
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
High performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Specifically designed for highly loaded workloads Addresses most of the scalability...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
When the current monitoring solution can't keep up with increasing workload Kubernetes...
» more
Key customersGrammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metrics4.9k stars and 70+ contributors on GitHub 20M+ downloads Thousands of active users...
» more
Licensing and pricing modelsApache 2.0.
» more
VictoriaMetrics comes in two versions: an open source version and an Enterprise version....
» more
News

How we built a SIMD JIT compiler for SQL in QuestDB
12 January 2022

Our two-year journey to raise $15m in venture capital
3 January 2022

QuestDB 6.1.3 December release, Prometheus improvements
20 December 2021

Why I joined QuestDB as a core database engineer
9 November 2021

How we built inter-thread messaging from scratch
3 November 2021

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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
QuestDBSadas EngineVictoriaMetrics
Recent citations in the news

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

QuestDB Raises $12M in Series A Funding
8 November 2021, FinSMEs

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

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

Q&A: Nicolas Hourcard, QuestDB: The advantages of a time-series database
3 December 2020, Developer Tech

provided by Google News

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3 December 2020, InfoQ.com

provided by Google News

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