DBMS > CrateDB vs. Ehcache vs. Faircom DB

System Properties Comparison CrateDB vs. Ehcache vs. Faircom DB

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Editorial information provided by DB-Engines

Name

Description

Distributed Date Store based on Lucene

A widely adopted Java cache with tiered storage options

Native high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.

Primary database model

Relational DBMS
Search engine

Key-value store

Key-value store
Relational DBMS

Secondary database models

Document store
Time Series DBMS

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

Score	1.00
Rank	#176	Overall
	#86	Relational DBMS
	#13	Search engines

Score	6.54
Rank	#64	Overall
	#8	Key-value stores

Score	0.30
Rank	#272	Overall
	#41	Key-value stores
	#126	Relational DBMS

Website

crate.io

www.ehcache.org

www.faircom.com/products/faircom-db

Technical documentation

crate.io/docs

www.ehcache.org/documentation

learn.faircomcorp.com/developers/documentation_directory

Developer

Crate

Terracotta Inc, owned by Software AG

FairCom Corporation

Initial release

2013

2009

1979

Current release

3.9.6, September 2021

V12, November 2020

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

commercial

Restricted, free version 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.

Implementation language

Java

ANSI C, C++

Server operating systems

All OS with a Java 7 (and higher) VM

All OS with a Java VM

AIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows

easily portable to other OSs

Data scheme

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

schema-free

schema free, schema optional, schema required, partial schema,

Typing

predefined data types such as float or date

yes

yes, ANSI SQL Types, JSON, typed binary structures

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, ANSI SQL with proprietary extensions

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

JCache

ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC

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

Java

.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic

Server-side scripts

Stored procedures

user defined functions

yes

.Net, JavaScript, C/C++

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

File partitioning, horizontal partitioning, sharding

Customizable business rules for table partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

yes

by using Terracotta Server

yes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).

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

Tunable Consistency (Strong, Eventual, Weak)

Eventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction

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

yes

supports JTA and can work as an XA resource

tunable from ACID to Eventually Consistent

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

Yes, tunable from durable to delayed durability to in-memory

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 with additional protections for files

More information provided by the system vendor

Specific characteristics

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

Achieve Hundreds of Thousands of Transactions Per Second on A Single Database Server...
» more

Competitive advantages

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

Top Features SQL Key-value store and navigational NoSQL API Indexed binary objects...
» more

Typical application scenarios

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

Real-time transaction processing solutions leverage FairCom DB because its NoSQL...
» more

Key customers

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

Microsoft, UPS, Verizon, Motorola, Commvault, Thomson Reuters, ACI, BNY Mellon, Rockwell...
» more

Market metrics

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

From banking and financial transactions, transportation, warehouse automation, package...
» more

Licensing and pricing models

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

Just as the technical aspects of FairCom DB are flexible to meet operation requirements,...
» 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

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More resources

Recent citations in the news

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

Exec Q&A with Crate.io CEO Eva Schönleitner
31 May 2022, Technology Magazine

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

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

provided by Google News

Jira Data Center user? Here's a critical Ehcache vulnerability to spoil your day
22 July 2021, The Register

Ehcache 3.0 Released with Revamped API and Off-Heap Storage
2 May 2016, InfoQ.com

Ehcache 2.0: Write-Behind Caching and JTA Support
11 May 2010, InfoQ.com

Setting Up Distributed Infinispan Cache with Hibernate and Spring
26 May 2016, dzone.com

Java deserialization vulnerabilities explained and how to defend against them
26 August 2021, CSO Online

provided by Google News

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