DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Aurora vs. Datomic vs. MariaDB vs. QuestDB

System Properties Comparison Amazon Aurora vs. Datomic vs. MariaDB vs. QuestDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatomic  Xexclude from comparisonMariaDB  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.A high performance open source SQL database for time series data
Primary database modelRelational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score91.04
Rank#13  Overall
#9  Relational DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websiteaws.amazon.com/­rds/­aurorawww.datomic.commariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
questdb.io
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.datomic.commariadb.com/­kb/­en/­libraryquestdb.io/­docs
DeveloperAmazonCognitectMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
QuestDB Technology Inc
Initial release201520122009 infoFork of MySQL, which was first released in 19952014
Current release1.0.7075, December 202311.3.2, February 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoGPL version 2, commercial enterprise subscription availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.
Implementation languageJava, ClojureC and C++Java (Zero-GC), C++, Rust
Server operating systemshostedAll OS with a Java VMFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
Linux
macOS
Windows
Data schemeyesyesyes infoDynamic columns are supportedyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoyes infowith proprietary extensionsSQL with time-series extensions
APIs and other access methodsADO.NET
JDBC
ODBC
RESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
Ada
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresyesyes infoTransaction Functionsyes infoPL/SQL compatibility added with version 10.3no
TriggersyesBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnone infoBut extensive use of caching in the application peersseveral options for horizontal partitioning and Shardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infonot for MyISAM storage engineACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes infonot for in-memory storage engineyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentyes infowith MEMORY storage engineyes infothrough memory mapped files
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraDatomicMariaDBQuestDB
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
News

QuestDB 8.0: Major Release
23 May 2024

QuestDB and Raspberry Pi 5 benchmark, a pocket-sized powerhouse
8 May 2024

Build your own resource monitor with QuestDB and Grafana
6 May 2024

Does "vpmovzxbd" Scare You? Here's Why it Doesn't Have To
12 April 2024

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

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Amazon AuroraDatomicMariaDBQuestDB
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Amazon - the rising star in the DBMS market
3 August 2015, Matthias Gelbmann

show all

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

show all

Recent citations in the news

Build a FedRAMP compliant generative AI-powered chatbot using Amazon Aurora Machine Learning and Amazon ...
10 June 2024, AWS Blog

Join the preview of Amazon Aurora Limitless Database | Amazon Web Services
27 November 2023, AWS Blog

Continuously replicate Amazon DynamoDB changes to Amazon Aurora PostgreSQL using AWS Lambda | Amazon ...
14 May 2024, AWS Blog

Improve the performance of generative AI workloads on Amazon Aurora with Optimized Reads and pgvector | Amazon ...
9 February 2024, AWS Blog

Build generative AI applications with Amazon Aurora and Knowledge Bases for Amazon Bedrock | Amazon Web Services
2 February 2024, AWS Blog

provided by Google News

Nubank buys firm behind Clojure programming language
28 July 2020, Finextra

Architecting Software for Leverage
13 November 2021, InfoQ.com

TerminusDB Takes on Data Collaboration with a git-Like Approach
1 December 2020, The New Stack

James Dixon Imagines A Data Lake That Matters
26 January 2015, Forbes

Zoona Case Study
16 December 2017, AWS Blog

provided by Google News

Private equity offer for MariaDB gets thumbsup from shareholders
21 May 2024, The Register

RECOMMENDED CASH OFFER for MARIADB PLC by MERIDIAN BIDCO LLC ("Bidco") which is an Affiliate of K1 ...
7 June 2024, Yahoo Finance

MariaDB plc: Shareholders speak, but execs are quiet
22 May 2024, InfoWorld

ServiceNow trades MariaDB for RaptorDB (PostgreSQL)
13 May 2024, Techzine Europe

Struggling database company MariaDB could be taken private in $37M deal
19 February 2024, TechCrunch

provided by Google News

Kubernetes Annotations: Harnessing Power in Operator Development
30 November 2023, hackernoon.com

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

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

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

Aquis Exchange goes live with QuestDB for real time monitoring
2 November 2022, FinanceFeeds

provided by Google News



Share this page

Featured Products

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here