DBMS > CrateDB vs. Infobright vs. Postgres-XL

System Properties Comparison CrateDB vs. Infobright vs. Postgres-XL

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Editorial information provided by DB-Engines

Name

Description

Distributed Date Store based on Lucene

High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontend

Based on PostgreSQL enhanced with MPP and write-scale-out cluster features

Primary database model

Relational DBMS
Search engine

Relational DBMS

Secondary database models

Document store
Time Series DBMS

Document store
Spatial 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	1.47
Rank	#174	Overall
	#86	Relational DBMS

Score	0.71
Rank	#251	Overall
	#118	Relational DBMS

Website

crate.io

ignitetech.com/softwarelibrary/infobrightdb

www.postgres-xl.org

Technical documentation

crate.io/docs

www.postgres-xl.org/documentation

Developer

Crate

Ignite Technologies Inc.; formerly InfoBright Inc.

Initial release

2013

2005

2014

since 2012, originally named StormDB

Current release

10 R1, October 2018

License

Commercial or Open Source

Open Source

commercial

The open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016

Open Source

Mozilla public license

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
Windows

Linux
macOS

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.

yes

XML type, but no XML query functionality

Secondary indexes

yes

Knowledge Grid Technology used instead

yes

SQL

Support of SQL

yes, but no triggers and constraints

yes

distributed, parallel query execution

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

ADO.NET
JDBC
ODBC

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

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

.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

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

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

MVCC

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

rights management via user accounts

fine grained access rights according to SQL-standard

exploiting MySQL or PostgreSQL frontend capabilities

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...
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Competitive advantages

CrateDB is typically used in operational analytics applications. In those scenarios,...
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Typical application scenarios

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

CrateDB customers include Qualtrics , Nokia, NBC Golfnow , Digital Domain , ALPLA...
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Market metrics

The CrateDB open source project was started in 2013. CrateDB was the winner of the...
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Licensing and pricing models

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

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