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 > Ignite vs. MariaDB vs. Microsoft Azure SQL Database vs. Splice Machine vs. SQL.JS

System Properties Comparison Ignite vs. MariaDB vs. Microsoft Azure SQL Database vs. Splice Machine vs. SQL.JS

Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonMariaDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSplice Machine  Xexclude from comparisonSQL.JS  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.MySQL 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.Database as a Service offering with high compatibility to Microsoft SQL ServerOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkPort of SQLite to JavaScript
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score91.04
Rank#13  Overall
#9  Relational DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.63
Rank#241  Overall
#112  Relational DBMS
Websiteignite.apache.orgmariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
azure.microsoft.com/­en-us/­products/­azure-sql/­databasesplicemachine.comsql.js.org
Technical documentationapacheignite.readme.io/­docsmariadb.com/­kb/­en/­librarydocs.microsoft.com/­en-us/­azure/­azure-sqlsplicemachine.com/­how-it-workssql.js.org/­documentation/­index.html
DeveloperApache Software FoundationMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MicrosoftSplice MachineAlon Zakai infoenhancements implemented by others
Initial release20152009 infoFork of MySQL, which was first released in 1995201020142012
Current releaseApache Ignite 2.611.3.2, February 2024V123.1, March 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoGPL version 2, commercial enterprise subscription availablecommercialOpen Source infoAGPL 3.0, commercial license availableOpen Source
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++, Java, .NetC and C++C++JavaJavaScript
Server operating systemsLinux
OS X
Solaris
Windows
FreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
hostedLinux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesyes infoDynamic columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.yesyesyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyes infowith proprietary extensionsyesyesyes infoSQL-92 is not fully supported
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Proprietary native API
ADO.NET
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
JavaScript API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Ada
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 (Node.js)
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
JavaScript
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infoPL/SQL compatibility added with version 10.3Transact SQLyes infoJavano
Triggersyes (cache interceptors and events)yesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingseveral options for horizontal partitioning and ShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
yes, with always 3 replicas availableMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes infonot for in-memory storage engineyesyesno infoexcept by serializing a db to a file
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infowith MEMORY storage engineyesyes
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardno
More information provided by the system vendor
IgniteMariaDBMicrosoft Azure SQL Database infoformerly SQL AzureSplice MachineSQL.JS
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

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

More resources
IgniteMariaDBMicrosoft Azure SQL Database infoformerly SQL AzureSplice MachineSQL.JS
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

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

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

show all

New kids on the block: database management systems implemented in JavaScript
1 December 2014, Matthias Gelbmann

show all

Recent citations in the news

GridGain Announces Call for Speakers for Virtual Apache Ignite Summit 2024
8 February 2024, PR Newswire

GridGain Showcases Power of Apache Ignite at Community Over Code Conference
5 October 2023, Datanami

Apache Ignite: An Overview
6 September 2023, Open Source For You

GridGain Unified Real-Time Data Platform Version 8.9 Addresses Today's More Complex Real-Time Data Processing ...
12 October 2023, GlobeNewswire

What is Apache Ignite? How is Apache Ignite Used?
18 July 2022, The Stack

provided by Google News

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

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

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

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

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

provided by Google News

Copilot in Azure SQL Database in Private Preview
27 March 2024, InfoQ.com

Microsoft unveils Copilot for Azure SQL Database
27 March 2024, InfoWorld

Azure SQL Database migration to OCI - resources estimation and migration approach
11 January 2024, blogs.oracle.com

Expand the limits of innovation with Azure data
21 March 2024, microsoft.com

Azure SQL Database outage caused by network infrastructure
18 September 2023, The Register

provided by Google News

Machine learning data pipeline outfit Splice Machine files for insolvency
26 August 2021, The Register

Splice Machine Launches the Splice Machine Feature Store to Simplify Feature Engineering and Democratize Machine ...
19 January 2021, PR Newswire

Distributed SQL System Review: Snowflake vs Splice Machine
18 September 2019, Towards Data Science

Splice Machine Launches Feature Store to Simplify Feature Engineering
19 January 2021, Datanami

Splice Machine scores $15M to make Hadoop run in real time
10 February 2014, VentureBeat

provided by Google News

9 Best JavaScript and TypeScript ORMs for 2024 — SitePoint
22 March 2023, SitePoint

Execute millions of SQL statements in milliseconds in the browser with WebAssembly and Web Workers.
14 January 2017, hackernoon.com

SQLite On The Web: Absurd-sql
24 August 2021, Hackaday

In Praise Of SQLite
28 July 2022, iProgrammer

10 Low-Code Rules for Serious Coders
21 November 2022, Embedded Computing Design

provided by Google News



Share this page

Featured Products

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

Milvus logo

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

Present your product here