DBMS > CrateDB vs. OushuDB vs. SAP IQ vs. TypeDB

System Properties Comparison CrateDB vs. OushuDB vs. SAP IQ vs. TypeDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Distributed Date Store based on Lucene

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

Columnar RDBMS optimized for Big Data analytics

TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query language

Primary database model

Relational DBMS
Search engine

Relational DBMS

column-oriented

Graph DBMS
Relational DBMS

Often described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.

Secondary database models

Document store
Time Series DBMS

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

Score	0.91
Rank	#227	Overall
	#106	Relational DBMS
	#16	Search engines

Score	0.08
Rank	#374	Overall
	#157	Relational DBMS

Score	4.51
Rank	#89	Overall
	#44	Relational DBMS

Score	1.39
Rank	#182	Overall
	#16	Graph DBMS
	#90	Relational DBMS

Website

crate.io

www.oushu.com/product/oushuDB

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

vaticle.com

Technical documentation

crate.io/docs

www.oushu.com/documentation

help.sap.com/iq

docs.vaticle.com

Developer

Crate

Oushu

SAP, formerly Sybase

Vaticle (formerly Grakn Labs)

Initial release

2013

1994

2016

Current release

4.0.1, August 2020

16.1 SPS04, April 2019

2.14.1, November 2022

License

Commercial or Open Source

Open Source

commercial

Open Source

GPL Version 3, commercial licenses available

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.

CrateDB Cloud: The operational database that enables data insights at scale. Available on Azure, AWS and Google Cloud.

Implementation language

Java

Server operating systems

All OS with a Java 7 (and higher) VM

Linux

AIX
HP-UX
Linux
Solaris
Windows

Linux
OS X
Windows

Data scheme

Flexible Schema (defined schema, partial schema, 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.

Secondary indexes

yes

SQL

Support of SQL

yes, but no triggers and constraints

Full-featured ANSI SQL support

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

JDBC
ODBC

ADO.NET
JDBC
ODBC
RESTful HTTP API

gRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)

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

C
C++

C
C#
C++
Java
Perl
PHP
Python
Ruby

All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

shared disk or shared nothing architectures with SAP IQ Multiplexer

Sharding

by using Cassandra

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

SAP/Sybase Replication Server

Multi-source replication

by using Cassandra

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

yes

by using Apache Kafka and Apache Zookeeper

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

yes

substituted by the relationship feature

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

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

Kerberos, SSL and role based access

fine grained access rights according to SQL-standard

yes

at REST API level; other APIs in progress

More information provided by the system vendor

Specific characteristics

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

Meet TypeDB (and TypeQL ) TypeDB is a strongly-typed database with a rich and logical...
» more

Competitive advantages

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

Entity-Relationship Model TypeDB allows you to model your domain using the well-known...
» more

Typical application scenarios

CrateDB is ideal for integrating and analyzing streams of data in order to monitor,...
» more

Life sciences : TypeDB makes working with biological data much easier and accelerates...
» more

Key customers

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

Market metrics

The CrateDB open source project was started in 2013. CrateDB was the winner of the...
» more

Licensing and pricing models

CrateDB pricing CrateDB on-premises is open source and free to use under the Apache...
» more

AGPL and Commercial . The commercial license is priced based on cluster resources...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Conferences and events

more DBMS events

Live Demo on Time-series data: from Raw Data to Fast Analysis in only 3 steps
Webinar, 16:00 - 16:45 CET, 22 February 2023

Recent citations in the news

Crate.io Open Sources the Entire Codebase of CrateDB – the ...
24 March 2021, GlobeNewswire

Geographic Information System (GIS) Market Growth Insights 2023 ...
23 January 2023, Digital Journal

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

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

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

provided by Google News

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

SAP Security Patch Day: October 2022
11 October 2022, Security Boulevard

Arcion CTO on building effective data pipelines – Blocks and Files
28 June 2022, Blocks and Files

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

What Will Happen After End Of Support For Sybase?
17 December 2019, e3zine.com

provided by Google News

Speedb's Data Storage Engine Goes Open Source
9 November 2022, Datanami

Object Recognition With SPOT from Boston Robotics
10 December 2020, hackernoon.com

provided by Google News

Job opportunities

Junior Data Strategy Analyst (JDSA)
National Capitol Contracting (NCC), Kittery, ME

Data Processing Clerk
Giesecke+Devrient Mobile Security America, Inc., Twinsburg, OH

Developer Community Manager (Senior)
Vaticle, Palo Alto, CA

Sales Director
Vaticle, Palo Alto, CA

Growth Marketing Manager (Senior)
Vaticle, Palo Alto, CA

jobs by

Share this page