DBMS > BigObject vs. Ignite vs. MySQL

System Properties Comparison BigObject vs. Ignite vs. MySQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Analytic DBMS for real-time computations and queries

Apache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.

Widely used open source RDBMS

Primary database model

Relational DBMS

a hierachical model (tree) can be imposed

Key-value store
Relational DBMS

Relational DBMS

Key/Value like access via memcached API

Secondary database models

Document store
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.17
Rank	#357	Overall
	#152	Relational DBMS

Score	5.29
Rank	#78	Overall
	#10	Key-value stores
	#41	Relational DBMS

Score	1182.79
Rank	#2	Overall
	#2	Relational DBMS

Website

bigobject.io

ignite.apache.org

www.mysql.com

Technical documentation

docs.bigobject.io

apacheignite.readme.io/docs

dev.mysql.com/doc

Developer

BigObject, Inc.

Apache Software Foundation

Oracle

since 2010, originally MySQL AB, then Sun

Initial release

2015

1995

Current release

Apache Ignite 2.6

8.0.32, January 2023

License

Commercial or Open Source

commercial

free community edition available

Open Source

Apache 2.0

Open Source

GPL version 2. Commercial licenses with extended functionallity are available

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

ScaleGrid for MySQL: Fully managed MySQL hosting On-Premises and on a wide variety of cloud providers. Easily deploy, monitor, provision, and scale your deployments in the cloud.
PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.

Implementation language

C++, Java, .Net

C and C++

Server operating systems

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

Linux
OS X
Solaris
Windows

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like DML and DDL statements

ANSI-99 for query and DML statements, subset of DDL

yes

with proprietary extensions

APIs and other access methods

fluentd
ODBC
RESTful HTTP API

HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

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

Stored procedures

Lua

yes (compute grid and cache interceptors can be used instead)

yes

proprietary syntax

Triggers

yes (cache interceptors and events)

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

none

yes (replicated cache)

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

not for MyISAM storage engine

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

not for MyISAM storage engine

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

yes

table locks or row locks depending on storage engine

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

Security Hooks for custom implementations

Users with fine-grained authorization concept

no user groups or roles

More information provided by the system vendor

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 parties

Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» more

SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

Percona: Database problems? Not on your watch.
Databases run better with Percona.
» more

PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
Get started with a PlanetScale database today for free.
» more

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

DbVisualizer is equipping database professionals with the tools they need to build, manage and maintain state-of-the-art database technologies. It has sky-high user satisfaction and is the preferred tool for database professionals around the world. Customers include Tesla, Apple, Facebook, Deutsche Bank, NASA, and 25,000 others in 145 countries.
» more

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

More resources

DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

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

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

show all

Recent citations in the news

How to Stay Sane With Modern C++
7 February 2017, dzone.com

provided by Google News

Introducing Apache Ignite, an open source dark horse…
18 July 2022, The Stack

Fire up big data processing with Apache Ignite
27 October 2016, InfoWorld

Microsoft SQL Server vs Apache Ignite: Database Comparison
1 March 2023, 6sense.com

Apache Ignite Community - Start Contributing
22 August 2022, ignite.apache.org

Apache Ignite
7 February 2023, Amazon.com

provided by Google News

Oracle adds machine learning features to MySQL HeatWave
23 March 2023, InfoWorld

Oracle Adds New AI-Enabling Features To MySQL HeatWave
23 March 2023, Forbes

Oracle's MySQL HeatWave gets embedded machine learning ...
23 March 2023, SiliconANGLE News

Creating a database from scratch: Part 2 - MySQL
23 March 2023, Interesting Engineering

3.4 times more Oracle MySQL transactions with Pliops' SSD array ...
17 March 2023, Blocks and Files

provided by Google News

Job opportunities

Performance Tester
Capgemini, South Carolina

Software Developer (Customer Assurance)
NetCracker, Waltham, MA

Staff Backend Java Developer - Cloud, US Remote
Extreme Networks, United States

23.Software Developer
Executive Software Guild (ESG), Remote

Java Software Engineer
Bionano, El Segundo, CA

PHP/MySQL Developers
Webmasters.com, Tampa, FL

Mid-Level PHP/MySQL Programmer/Developer
ApplicantPro, Remote

Senior MySQL Database Administrator
Scientific Games, Remote

Product Manager (Remote)
UnifyWork, Cleveland, OH

PHP/MySQL Developer
Third Rock, Austin, TX

jobs by

Share this page