DBMS > Ehcache vs. EXASOL vs. Google Cloud Firestore vs. Snowflake vs. TerarkDB

System Properties Comparison Ehcache vs. EXASOL vs. Google Cloud Firestore vs. Snowflake vs. TerarkDB

Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

High-performance, in-memory, MPP database specifically designed for in-memory analytics.

Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.

Cloud-based data warehousing service for structured and semi-structured data

A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB

Primary database model

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

Score	6.51
Rank	#57	Overall
	#8	Key-value stores

Score	3.09
Rank	#92	Overall
	#45	Relational DBMS

Score	7.83
Rank	#49	Overall
	#9	Document stores

Score	2.73
Rank	#101	Overall
	#47	Relational DBMS

Score	0.07
Rank	#309	Overall
	#53	Key-value stores

Website

www.ehcache.org

www.exasol.com/en/products

firebase.google.com/products/firestore

www.snowflake.com

github.com/Terark/terarkdb

Technical documentation

www.ehcache.org/documentation

www.exasol.com/en/community/resources

firebase.google.com/docs/firestore

docs.snowflake.net/manuals/index.html

github.com/Terark/terarkdb/wiki

Developer

Terracotta Inc, owned by Software AG

Exasol

Google

Snowflake Computing Inc.

Terark

Initial release

2009

2000

2017

2014

2016

Current release

3.8.0, July 2019

License

Commercial or Open Source

Open Source info

Apache Version 2; commercial licenses available

commercial

commercial info

restricted open source version available

Cloud-based only info

Only available as a cloud service

yes

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

C++

Server operating systems

All OS with a Java VM

hosted

Data scheme

schema-free

yes

schema-free

yes

support of semi-structured data formats (JSON, XML, Avro)

schema-free

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JCache

.Net
JDBC
ODBC
WebSocket

Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API

CLI Client
JDBC
ODBC

C++ API
Java API

Supported programming languages

Java

Java
Lua
Python
R

Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python

JavaScript (Node.js)
Python

C++
Java

Server-side scripts info

Stored procedures

user defined functions

yes, Firebase Rules & Cloud Functions

user defined functions

Triggers

yes

Cache Event Listeners

yes

yes, with Cloud Functions

similar concept for controling cloud resources

Partitioning methods info

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

Sharding

yes

none

Replication methods info

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

Master-master replication

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Using Cloud Dataflow

Consistency concepts info

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

Immediate Consistency

Foreign keys info

Referential integrity

yes

Transaction concepts info

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

yes

supports JTA and can work as an XA resource

ACID

yes

ACID

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes

using a tiered cache-storage approach

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts info

Access control

Access rights for users, groups and roles according to SQL-standard

Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

Users with fine-grained authorization concept, user roles and pluggable authentication

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