DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > EsgynDB vs. MariaDB vs. Microsoft Azure Cosmos DB vs. RRDtool vs. Yaacomo

System Properties Comparison EsgynDB vs. MariaDB vs. Microsoft Azure Cosmos DB vs. RRDtool vs. Yaacomo

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonMariaDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonRRDtool  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMySQL 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.Globally distributed, horizontally scalable, multi-model database serviceIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Websitewww.esgyn.cnmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
azure.microsoft.com/­services/­cosmos-dboss.oetiker.ch/­rrdtoolyaacomo.com
Technical documentationmariadb.com/­kb/­en/­librarylearn.microsoft.com/­azure/­cosmos-dboss.oetiker.ch/­rrdtool/­doc
DeveloperEsgynMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MicrosoftTobias OetikerQ2WEB GmbH
Initial release20152009 infoFork of MySQL, which was first released in 1995201419992009
Current release11.3.2, February 20241.8.0, 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial enterprise subscription availablecommercialOpen Source infoGPL V2 and FLOSScommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
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 languageC++, JavaC and C++C infoImplementations in Java (e.g. RRD4J) and C# available
Server operating systemsLinuxFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
hostedHP-UX
Linux
Android
Linux
Windows
Data schemeyesyes infoDynamic columns are supportedschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes infoJSON typesNumeric data onlyyes
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.noyesno infoExporting into and restoring from XML files possibleno
Secondary indexesyesyesyes infoAll properties auto-indexed by defaultnoyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsSQL-like query languagenoyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
in-process shared library
Pipes
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetAda
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoPL/SQL compatibility added with version 10.3JavaScriptno
TriggersnoyesJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingseveral options for horizontal partitioning and ShardingSharding infoImplicit feature of the cloud servicenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud servicenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
noneImmediate Consistency
Foreign keys infoReferential integrityyesyes infonot for MyISAM storage enginenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineMulti-item ACID transactions with snapshot isolation within a partitionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyes infonot for in-memory storage engineyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infowith MEMORY storage engineyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelnofine grained access rights according to SQL-standard
More information provided by the system vendor
EsgynDBMariaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRRDtoolYaacomo
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» 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

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
CData: Connect to Big Data & NoSQL through standard Drivers.
» more

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

More resources
EsgynDBMariaDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRRDtoolYaacomo
DB-Engines blog posts

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

Time Series DBMS are the database category with the fastest increase in popularity
4 July 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1 June 2015, Paul Andlinger

show all

Recent citations in the news

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

K1 Investment Management, LLC ("K1") Extension of Deadline Regarding Publication of Offer for MariaDB plc ...
22 May 2024, PR Newswire

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

MariaDB shareholders approve private equity takeover
22 May 2024, Computing

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

provided by Google News

Start your AI journey with Microsoft Azure Cosmos DB—compete for $10K
9 May 2024, azure.microsoft.com

Microsoft Build 2024: Cosmos DB for NoSQL gets vector search
21 May 2024, InfoWorld

Public Preview: vCore-based Azure Cosmos DB for MongoDB cross-region disaster recovery (DR) | Atualizações do ...
22 May 2024, azure.microsoft.com

At Build, Microsoft Fabric, PostgreSQL and Cosmos DB get AI enhancements
21 May 2024, SiliconANGLE News

Public preview: Change partition key of a container in Azure Cosmos DB (NoSQL API) | Azure updates
27 March 2024, azure.microsoft.com

provided by Google News

Cacti servers under attack by attackers exploiting CVE-2022-46169
16 January 2023, Help Net Security

Critical IP spoofing bug patched in Cacti
15 December 2022, The Daily Swig

How to install Cacti SNMP Monitor on Ubuntu
24 November 2017, TechRepublic

Installation Guide for Collectd and Collectd-Web to Monitor Server Resources in Linux
29 November 2017, Linux.com

SNMP: The Little Protocol That Could
7 November 2020, Techopedia

provided by Google News



Share this page

Featured Products

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

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Neo4j logo

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

Milvus logo

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

SingleStore logo

The database to transact, analyze and contextualize your data in real time.
Try it today.

Present your product here