DBMS > Galaxybase vs. Greenplum vs. SAP HANA vs. SQream DB

System Properties Comparison Galaxybase vs. Greenplum vs. SAP HANA vs. SQream DB

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Editorial information provided by DB-Engines

Name

Description

Scalable, ACID-compliant native distributed parallel graph platform

Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database

A logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.

In-memory, column based data store. Available as appliance or cloud service

a GPU-based, columnar RDBMS for big data analytics workloads

Primary database model

Graph DBMS

Relational DBMS

Secondary database models

Document store
Spatial DBMS

Document store
Graph DBMS

with SAP Hana, Enterprise Edition
Spatial DBMS

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

Score	0.00
Rank	#385	Overall
	#40	Graph DBMS

Score	7.71
Rank	#46	Overall
	#29	Relational DBMS

Score	41.32
Rank	#23	Overall
	#16	Relational DBMS

Score	0.62
Rank	#234	Overall
	#109	Relational DBMS

Website

galaxybase.com

greenplum.org

www.sap.com/products/hana.html

sqream.com

Technical documentation

docs.greenplum.org

help.sap.com/hana

docs.sqream.com

Developer

Chuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司

Pivotal Software Inc.

SAP

SQream Technologies

Initial release

2017

2005

2010

2017

Current release

Nov 20, November 2021

7.0.0, September 2023

2.0 SPS07 (April 4, 2023), April 2023

2022.1.6, December 2022

License

Commercial or Open Source

commercial

Open Source

Apache 2.0

commercial

Cloud-based only

Only available as a cloud service

also available as a cloud based service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C and Java

C++, CUDA, Haskell, Java, Scala

Server operating systems

Linux

Appliance or cloud-service

Linux

Data scheme

Strong typed schema

yes

Typing

predefined data types such as float or date

yes

yes, ANSI Standard SQL Types

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

since Version 4.2

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API

JDBC
ODBC

.Net
JDBC
ODBC

Supported programming languages

Go
Java
Python

C
Java
Perl
Python
R

C++
Java
JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined procedures and functions

yes

SQLScript, R

user defined functions in Python

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

horizontal and vertical partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Relationships in graphs

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

User concepts

Access control

Role-based access control

fine grained access rights according to SQL-standard

yes

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