DBMS > EXASOL vs. GridGain vs. OrigoDB vs. SAP IQ vs. Snowflake

System Properties Comparison EXASOL vs. GridGain vs. OrigoDB vs. SAP IQ vs. Snowflake

Editorial information provided by DB-Engines

Name

Description

High-performance, in-memory, MPP database specifically designed for in-memory analytics.

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

A fully ACID in-memory object graph database

Columnar RDBMS optimized for Big Data analytics

Cloud-based data warehousing service for structured and semi-structured data

Primary database model

Relational DBMS

Key-value store
Relational DBMS

Document store
Object oriented DBMS

Relational DBMS info

column-oriented

Relational DBMS

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

Score	3.09
Rank	#92	Overall
	#45	Relational DBMS

Score	2.16
Rank	#116	Overall
	#23	Key-value stores
	#56	Relational DBMS

Score	0.06
Rank	#310	Overall
	#40	Document stores
	#17	Object oriented DBMS

Score	4.93
Rank	#70	Overall
	#39	Relational DBMS

Score	2.73
Rank	#101	Overall
	#47	Relational DBMS

Website

www.exasol.com/en/products

www.gridgain.com

origodb.com

www.sap.com/products/sybase-iq-big-data-management.html

www.snowflake.com

Technical documentation

www.exasol.com/en/community/resources

www.gridgain.com/docs/latest

origodb.com/docs

help.sap.com/iq

docs.snowflake.net/manuals/index.html

Developer

Exasol

GridGain Systems, Inc.

Robert Friberg et al

SAP, formerly Sybase

Snowflake Computing Inc.

Initial release

2000

2007

2009

under the name LiveDB

1994

2014

Current release

GridGain 8.5.1

16.1 SPS04, April 2019

License

Commercial or Open Source

commercial

Open Source

commercial

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

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

Implementation language

Java, C++, .Net

Server operating systems

Linux
OS X
Solaris
Windows

Linux
Windows

AIX
HP-UX
Linux
Solaris
Windows

hosted

Data scheme

yes

support of semi-structured data formats (JSON, XML, Avro)

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

yes

XML support info

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

yes

can be achieved using .NET

yes

Secondary indexes

yes

SQL

Support of SQL

yes

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

yes

APIs and other access methods

.Net
JDBC
ODBC
WebSocket

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

.NET Client API
HTTP API
LINQ

ADO.NET
JDBC
ODBC
RESTful HTTP API

CLI Client
JDBC
ODBC

Supported programming languages

Java
Lua
Python
R

C#
C++
Java
PHP
Python
Ruby
Scala

.Net

C
C#
C++
Java
Perl
PHP
Python
Ruby

JavaScript (Node.js)
Python

Server-side scripts info

Stored procedures

user defined functions

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

yes

user defined functions

Triggers

yes

yes (cache interceptors and events)

yes

Domain Events

yes

similar concept for controling cloud resources

Partitioning methods info

Methods for storing different data on different nodes

Sharding

horizontal partitioning info

client side managed; servers are not synchronized

shared disk or shared nothing architectures with SAP IQ Multiplexer

yes

Replication methods info

Methods for redundantly storing data on multiple nodes

yes (replicated cache)

Master-slave replication

SAP/Sybase Replication Server

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

yes (compute grid and hadoop accelerator)

Hadoop integration

Consistency concepts info

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys info

Referential integrity

yes

depending on model

yes

Transaction concepts info

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

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

Write ahead log

yes

In-memory capabilities info

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

yes

User concepts info

Access control

Access rights for users, groups and roles according to SQL-standard

Security Hooks for custom implementations

Role based authorization

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept, user roles and pluggable authentication

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