DBMS > GridGain vs. JaguarDB vs. Quasardb

System Properties Comparison GridGain vs. JaguarDB vs. Quasardb

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Editorial information provided by DB-Engines

Name

Description

GridGain is an in-memory computing platform, built on Apache Ignite

Performant, highly scalable DBMS for AI and IoT applications

Distributed, high-performance timeseries database

Primary database model

Key-value store
Relational DBMS

Key-value store

Time Series DBMS

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

Score	2.08
Rank	#125	Overall
	#25	Key-value stores
	#61	Relational DBMS

Score	0.04
Rank	#339	Overall
	#51	Key-value stores

Score	0.07
Rank	#330	Overall
	#29	Time Series DBMS

Website

www.gridgain.com

www.datajaguar.com

quasardb.net

Technical documentation

www.gridgain.com/docs/latest

www.datajaguar.com/support.php

doc.quasar.ai/master

Developer

GridGain Systems, Inc.

DataJaguar, Inc.

quasardb

Initial release

2007

2015

2009

Current release

GridGain 8.5.1

2.9.4 September 2018

3.13.3, April 2022

License

Commercial or Open Source

commercial

Open Source

GPL V3.0

commercial

Free community edition, Non-profit organizations and non-commercial usage are eligible for free licenses

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.

Implementation language

Java, C++, .Net

C++

the server part. Clients available in other languages

C++

Server operating systems

Linux
OS X
Solaris
Windows

Linux

BSD
Linux
OS X
Windows

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

integer and binary

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

with tags

SQL

Support of SQL

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

A subset of ANSI SQL is implemented

but no views, foreign keys, triggers

SQL-like query language

APIs and other access methods

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

JDBC
ODBC

HTTP API

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala

.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R

Server-side scripts

Stored procedures

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

Triggers

yes (cache interceptors and events)

Partitioning methods

Methods for storing different data on different nodes

Sharding

consistent hashing

Replication methods

Methods for redundantly storing data on multiple nodes

yes (replicated cache)

Multi-source replication

Source-replica replication with selectable replication factor

MapReduce

Offers an API for user-defined Map/Reduce methods

yes (compute grid and hadoop accelerator)

with Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

by using LevelDB

In-memory capabilities

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

yes

Transient mode

User concepts

Access control

Security Hooks for custom implementations

rights management via user accounts

Cryptographically strong user authentication and audit trail

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More resources

Recent citations in the news

GridGain Appoints Eoin O'Connor as New President and CEO
2 August 2022, GlobeNewswire

Big Data: Market 2022 | Business Outlook, Revenue, Trends and Forecasts 2028 | Hack/reduce, GridGain Systems, Azure Data Lake, Fluentd – Shanghaiist
10 August 2022, Shanghaiist

Global HTAP-Enabling In-Memory Computing Technologies Market Size 2022 Survey Report by Manufactures, Share, Growth, Business Opportunities, Future Investments, Trends and Forecast 2029
8 August 2022, Digital Journal

GridGain Continues Strong Momentum in 2021, Has Record Revenue Year
22 February 2022, GlobeNewswire

GridGain Announces Virtual Apache Ignite Summit 2022, Opens Call for Papers
7 February 2022, GlobeNewswire

provided by Google News

Quasar Satellite poised to deliver space data using cryogenically cooled communications solutions
8 August 2022, iTWire

South America Cloud-Based Time Series Database Market Latest Updates, Data and Outlook to 2030| Alibaba, Amazon (AWS), AVEVA – Shanghaiist
10 August 2022, Shanghaiist

Cloud Based Time Series Database Market See Huge Growth for New Normal | Alibaba, Amazon (AWS), AVEVA
25 July 2022, Digital Journal

Time Series Databases Software Market Size, Scope, Growth Opportunities, Trends by Manufacturers And Forecast to 2029 – Shanghaiist
8 August 2022, Shanghaiist

Quasar Stallite
8 August 2022, iTWire

provided by Google News

Job opportunities

Business Development Representative
GridGain, Chicago, IL

Customer Support Engineer
GridGain, Chicago, IL

Senior Consultant
GridGain, Chicago, IL

Customer Support Engineer
GridGain, Chicago, IL

Solutions Architect
GridGain, Pittsburgh, PA

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