DBMS > CrateDB vs. EJDB vs. GBase vs. SAP IQ

System Properties Comparison CrateDB vs. EJDB vs. GBase vs. SAP IQ

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Editorial information provided by DB-Engines

Name

Description

Distributed Date Store based on Lucene

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

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

Columnar RDBMS optimized for Big Data analytics

Primary database model

Relational DBMS
Search engine

Document store

Relational DBMS

column-oriented

Secondary database models

Document store
Time Series DBMS

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

Score	0.97
Rank	#178	Overall
	#86	Relational DBMS
	#13	Search engines

Score	0.10
Rank	#314	Overall
	#41	Document stores

Score	1.16
Rank	#165	Overall
	#79	Relational DBMS

Score	4.82
Rank	#80	Overall
	#43	Relational DBMS

Website

crate.io

ejdb.org

www.gbase8a.com

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

Technical documentation

crate.io/docs

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

help.sap.com/iq

Developer

Crate

Softmotions

SAP, formerly Sybase

Initial release

2013

2012

1994

Current release

GBase 8a

16.1 SPS04, April 2019

License

Commercial or Open Source

Open Source

GPLv2

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

Server operating systems

All OS with a Java 7 (and higher) VM

server-less

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

Flexible Schema (defined schema, partial schema, schema free)

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, but no triggers and constraints

yes

APIs and other access methods

ADO.NET

community maintained client
JDBC
MQTT (Message Queue Telemetry Transport)
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API

in-process shared library

ADO.NET
JDBC
ODBC
RESTful HTTP API

Supported programming languages

Erlang
Go

community maintained client
Java
JavaScript (Node.js)

community maintained client
Perl

community maintained client
PHP
Python
Ruby

community maintained client
Scala

community maintained client

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

C
C#
C++
Java
Perl
PHP
Python
Ruby

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

shared disk or shared nothing architectures with SAP IQ Multiplexer

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

none

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

Eventual Consistency
Read Your Own Writes Consistency

for primary key lookups

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

unique row identifiers can be used for implementing an optimistic concurrency control strategy

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.

User concepts

Access control

rights management via user accounts

fine grained access rights according to SQL-standard

More information provided by the system vendor

Specific characteristics

CrateDB is an open source distributed SQL database that spreads data and processing...
» more

Competitive advantages

CrateDB is typically used in operational analytics applications, particularly those...
» more

Typical application scenarios

CrateDB is ideal for integrating and analyzing streams of data--often machine-generated--in...
» more

Key customers

CrateDB customers include McAfee, Qualtrics , Nokia, NBC Golfnow , Digital Domain...
» more

Market metrics

The CrateDB open source project was started in 2014. CrateDB was the winner of TechCrunch...
» more

Licensing and pricing models

CrateDB pricing CrateDB Community Edition is open source and free to use under the...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

Recent citations in the news

CrateDB 4.5 takes distributed SQL database open source
24 March 2021, TechTarget

Crate.io raises $10M to grow its database platform
15 June 2021, VentureBeat

Crate.io Expands CrateDB Cloud with the Launch of CrateDB Edge
15 April 2021, GlobeNewswire

Crate.io extends database service offering to Google Cloud
13 April 2022, VentureBeat

CrateDB Tackles Machine Analytics with Scale-Out SQL Database
14 December 2016, Datanami

provided by Google News

Financial Service Institutions Embark on Cloud Data Makeover as Legacy Solutions Sunset
18 May 2022, Finextra

A look inside the SAP IQ column-oriented database
10 March 2016, TechTarget

SAP Unveils New Services in SAP HANA Cloud
28 April 2021, Database Trends and Applications

What's new in SAP HANA Cloud Services and why it matters
27 June 2019, TechTarget

IBM, SAP partner to move financial institutions to the hybrid cloud
28 July 2021, ZDNet

provided by Google News

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