DBMS > EJDB vs. GBase vs. HEAVY.AI vs. SAP IQ

System Properties Comparison EJDB vs. GBase vs. HEAVY.AI vs. SAP IQ

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Editorial information provided by DB-Engines

Name

Description

Embeddable document-store database library with JSON representation of queries (in MongoDB style)

An analytical database for business intelligence with large customers in China.

A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware

Columnar RDBMS optimized for Big Data analytics

Primary database model

Document store

Relational DBMS

column-oriented

Secondary database models

Spatial DBMS

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

Score	0.30
Rank	#294	Overall
	#44	Document stores

Score	1.04
Rank	#190	Overall
	#88	Relational DBMS

Score	2.10
Rank	#126	Overall
	#61	Relational DBMS

Score	3.27
Rank	#96	Overall
	#50	Relational DBMS

Website

github.com/Softmotions/ejdb

www.gbase.cn

github.com/heavyai/heavydb
www.heavy.ai

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

Technical documentation

github.com/Softmotions/ejdb/blob/master/README.md

docs.heavy.ai

help.sap.com/docs/SAP_IQ

Developer

Softmotions

HEAVY.AI, Inc.

SAP, formerly Sybase

Initial release

2012

2016

1994

Current release

GBase 8a

5.10, January 2022

16.1 SPS04, April 2019

License

Commercial or Open Source

Open Source

GPLv2

commercial

Open Source

Apache Version 2; enterprise edition available

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

C++ and CUDA

Server operating systems

server-less

Linux

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

schema-free

yes

Typing

predefined data types such as float or date

yes

string, integer, double, bool, date, object_id

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.

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

in-process shared library

JDBC
ODBC
Thrift
Vega

ADO.NET
JDBC
ODBC
RESTful HTTP API

Supported programming languages

Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby

All languages supporting JDBC/ODBC/Thrift
Python

C
C#
C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

Round robin

shared disk or shared nothing architectures with SAP IQ Multiplexer

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication

SAP/Sybase Replication Server

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

typically not needed, however similar functionality with collection joins possible

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/Write Locking

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

fine grained access rights according to SQL-standard

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