DBMS > Drizzle vs. TempoIQ vs. Yanza

System Properties Comparison Drizzle vs. TempoIQ vs. Yanza

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Editorial information provided by DB-Engines

Name

Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.

TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.

Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.

Scalable analytics DBMS for sensor data, provided as a service (SaaS)

Time Series DBMS for IoT Applications

Primary database model

Relational DBMS

Time Series DBMS

Website

tempoiq.com (offline)

yanza.com

Developer

Drizzle project, originally started by Brian Aker

TempoIQ

Yanza

Initial release

2008

2012

2015

Current release

7.2.4, September 2012

License

Commercial or Open Source

Open Source

GNU GPL

commercial

free version available

Cloud-based only

Only available as a cloud service

yes

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C++

Server operating systems

FreeBSD
Linux
OS X

Windows

Data scheme

yes

schema-free

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

with proprietary extensions

APIs and other access methods

JDBC

HTTP API

Supported programming languages

C
C++
Java
PHP

C#
Java
JavaScript

Node.js
Python
Ruby

any language that supports HTTP calls

Server-side scripts

Stored procedures

Triggers

hooks for callbacks inside the server can be used.

yes

Realtime Alerts

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

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.

User concepts

Access control

Pluggable authentication mechanisms

e.g. LDAP, HTTP

simple authentication-based access control

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More resources

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