DBMS > GridGain vs. Heroic vs. JaguarDB vs. SAP Advantage Database Server

System Properties Comparison GridGain vs. Heroic vs. JaguarDB vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines

Name

Description

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

Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearch

Performant, highly scalable DBMS for AI and IoT applications

Low-cost RDBMS with access to ISAM and FoxPro data structures

Primary database model

Key-value store
Relational DBMS

Time Series DBMS

Key-value store

Relational DBMS

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

Score	1.92
Rank	#126	Overall
	#25	Key-value stores
	#62	Relational DBMS

Score	0.25
Rank	#280	Overall
	#22	Time Series DBMS

Score	0.00
Rank	#363	Overall
	#57	Key-value stores

Score	3.66
Rank	#91	Overall
	#48	Relational DBMS

Website

www.gridgain.com

spotify.github.io/heroic/#!/index

www.datajaguar.com

www.sap.com/products/advantage-database-server.html

Technical documentation

www.gridgain.com/docs/latest

spotify.github.io/heroic/#!/docs/overview

www.datajaguar.com/support.php

Developer

GridGain Systems, Inc.

Spotify

DataJaguar, Inc.

Sybase, SAP

Initial release

2007

2014

2015

1993

Current release

GridGain 8.5.1

2.9.4 September 2018

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

Open Source

GPL V3.0

commercial

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

Java

C++

the server part. Clients available in other languages

Server operating systems

Linux
OS X
Solaris
Windows

Linux

Linux
Windows

Data scheme

yes

schema-free

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

via Elasticsearch

yes

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

yes

APIs and other access methods

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

HQL (Heroic Query Language, a JSON-based language)
HTTP API

JDBC
ODBC

.NET Client API
ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

C#
C++
Java
PHP
Python
Ruby
Scala

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

Delphi
Perl
PHP

Server-side scripts

Stored procedures

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

yes

Triggers

yes (cache interceptors and events)

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes (replicated cache)

yes

Multi-source replication

CONFLICT Trigger to resolve replication conflicts
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

Immediate Consistency

Eventual Consistency
Immediate Consistency

Eventual Consistency

Immediate Consistency

Foreign keys

Referential integrity

yes

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

In-memory capabilities

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

yes

caching of (temporary) tables can be configured

User concepts

Access control

Security Hooks for custom implementations

rights management via user accounts

fine grained access rights according to SQL-standard

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More resources

Recent citations in the news

In-Memory Data Grid Market Giants Spending Is Going To Boom |Oracle, IBM, Hazelcast, Scale Out Software, Tibco Software, Software AG, Gigaspaces, Gridgain Systems, Alachisoft, Pivotal, Tmaxsoft, Hitachi – Indian Defence News
30 June 2022, Indian Defence News

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

Global In-Memory Database Market Scope with New Innovations, Regional Trends, Future Investments, Industry Growth Analysis and Demand Forecast by 2022-2029
27 June 2022, Digital Journal

GridGain Launches Service to Recognize Non-Code Contributors to the Apache Ignite Community
9 December 2021, GlobeNewswire

provided by Google News

Job opportunities

Customer Support Engineer
GridGain, Chicago, IL

Account Manager
GridGain, Indianapolis, IN

Senior Consultant
GridGain, Chicago, IL

Solutions Architect
GridGain, Pittsburgh, PA

Senior Software Architect
GridGain, Chicago, IL

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