Mnesia

Mnesia

Erlang
Mnesia Voldemort

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Mnesia:

About

The management of data in telecommunications systems has many aspects of which some, but not all, are addressed by traditional Database Management Systems (DBMSs). In particular, the high level of fault tolerance required in many nonstop systems, combined with requirements on the DBMS to run in the same address space as the applications, have led us to implement a new DBMS, called Mnesia. Mnesia is implemented in, and tightly coupled to Erlang. It provides the functionality that is necessary for the implementation of fault-tolerant telecommunications systems. Mnesia is a multiuser distributed DBMS specifically designed for industrial-grade telecommunications applications written in Erlang, which is also the intended target language. Mnesia tries to address all the data management issues required for typical telecommunications systems and has a number of features not normally found in traditional DBMSs.
Voldemort:

About

Voldemort is not a relational database, it does not attempt to satisfy arbitrary relations while satisfying ACID properties. Nor is it an object database that attempts to transparently map object reference graphs. Nor does it introduce a new abstraction such as document-orientation. It is basically just a big, distributed, persistent, fault-tolerant hash table. For applications that can use an O/R mapper like active-record or hibernate this will provide horizontal scalability and much higher availability but at great loss of convenience. For large applications under internet-type scalability pressure, a system may likely consist of a number of functionally partitioned services or APIs, which may manage storage resources across multiple data centers using storage systems which may themselves be horizontally partitioned. For applications in this space, arbitrary in-database joins are already impossible since all the data is not available in any single database.
Mnesia:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Voldemort:

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported
Mnesia:

Audience

Companies interested in a DBMS solution to manage their industrial-grade telecommunications applications
Voldemort:

Audience

IT teams searching for a distributed key-value storage system
Mnesia:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported
Voldemort:

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported
Mnesia:

API

Offers API Not Supported
Voldemort:

API

Offers API Not Supported
Mnesia:

Screenshots and Videos

Voldemort:

Screenshots and Videos

Mnesia:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Voldemort:

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported
Mnesia:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Voldemort:

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software
Mnesia:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Voldemort:

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported
Mnesia:

Company Information

Erlang
Founded: 1997
erlang.org/doc/apps/mnesia/Mnesia_chap3.html
Voldemort:

Company Information

Voldemort
www.project-voldemort.com/voldemort/
Mnesia:

Alternatives

Voldemort:

Alternatives

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Voldemort:
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Mnesia:
Voldemort:
Mnesia:

Categories

Voldemort:

Categories

Mnesia:

Integrations

No info available.
Voldemort:

Integrations

No info available.
Mnesia:
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Voldemort:
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