DBMS > EXASOL vs. Snowflake vs. TerarkDB vs. WakandaDB

System Properties Comparison EXASOL vs. Snowflake vs. TerarkDB vs. WakandaDB

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Editorial information provided by DB-Engines

Name

Description

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

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

WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data

Primary database model

Relational DBMS

Key-value store

Object oriented DBMS

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

Score	3.42
Rank	#93	Overall
	#46	Relational DBMS

Score	15.53
Rank	#37	Overall
	#22	Relational DBMS

Score	0.02
Rank	#323	Overall
	#52	Key-value stores

Score	0.07
Rank	#307	Overall
	#18	Object oriented DBMS

Website

www.exasol.com

www.snowflake.com

github.com/Terark/terarkdb

wakanda.github.io

Technical documentation

www.exasol.com/resources

docs.snowflake.net/manuals/index.html

github.com/Terark/terarkdb/wiki

doc.wakanda.org/home2.en.html#/Datastore/Introduction.200-588937.en.html

Developer

Exasol

Snowflake Computing Inc.

Terark

Wakanda SAS

Initial release

2000

2014

2016

2012

Current release

2.7.0 (April 29, 2019), 2019

License

Commercial or Open Source

commercial

restricted open source version available

Open Source

AGPLv3, extended commercial license available

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

C++, JavaScript

Server operating systems

hosted

Linux
OS X
Windows

Data scheme

yes

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

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

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

.Net
JDBC
ODBC
WebSocket

CLI Client
JDBC
ODBC

C++ API
Java API

RESTful HTTP API

Supported programming languages

Java
Lua
Python
R

JavaScript (Node.js)
Python

C++
Java

JavaScript

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

similar concept for controling cloud resources

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

none

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

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.

yes

User concepts

Access control

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

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

yes

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