Notes from the field:
Different NoSQL tools in
       production
       Matthew Ford
We've used:

Key Value Stores:   Document Stores:

  Redis               MongoDB
  Tokyo Cabinet       CouchDB
Redis
Project: Gnip Filter

Requirements:

Users can filter realtime data streams by keywords.

Solution:

redis.set_add('...
Redis

Benefits:                 Drawbacks:

Fast                      Not fault tolerant

Simple model              No re...
Tokyo Cabinet
Project: tweetarium

Requirement:

Store tweets from a user to build up twitter lists

Solution:

Serialized...
Tokyo Cabinet

Benefits:         Drawbacks:

Still Fast        Documentation mostly in
                  Japanese
Persiste...
CouchDB
Project: Project management app

Requirements:

Everything needed to have version tracking (snapshots of the
entir...
CouchDB

Benefits:               Drawbacks:

Flexible                Library support (at the time)

Simplify architecture ...
MongoDB
Project: feesability

Problem:

Case estimation and planning tool, with the need to 'clone
cases'.

Solution:

All...
MongoDB

Benefits:                  Drawbacks:

Flexible                   Replication not here yet

Fast                 ...
Conclusion




   Use the right tools for the job
Thanks!

More info

http://blog.bitzesty.com

General NoSQL news

http://nosql.mypopescu.com/
NoSQLEU: Different NoSQL tools in Production
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NoSQLEU: Different NoSQL tools in Production

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Matt has followed the development of NoSQL databases with great interest and used them to solve many problems. In this talk, he will share his experiences of working with NoSQL whilst building web applications at Bit Zesty.

He will evaluate the different databases he has encountered, as well as discuss the drawbacks in this emergent technological field.

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NoSQLEU: Different NoSQL tools in Production

  1. 1. Notes from the field: Different NoSQL tools in production Matthew Ford
  2. 2. We've used: Key Value Stores: Document Stores: Redis MongoDB Tokyo Cabinet CouchDB
  3. 3. Redis Project: Gnip Filter Requirements: Users can filter realtime data streams by keywords. Solution: redis.set_add('ipad', 'client_id') In the background we filter the data stream, when a keyword matches, we push that piece of data to all the client ids. redis.set_members('ipad')
  4. 4. Redis Benefits: Drawbacks: Fast Not fault tolerant Simple model No replication Sets are useful Whole data set in memory O(1) for set add/remove
  5. 5. Tokyo Cabinet Project: tweetarium Requirement: Store tweets from a user to build up twitter lists Solution: Serialized JSON from the twitter API, and arrays of twitter ids for the lists. Running on a small slicehost slice (poor mans memcached) Live at http://tweetarium.com/
  6. 6. Tokyo Cabinet Benefits: Drawbacks: Still Fast Documentation mostly in Japanese Persistent Kyoto Cabinet (successor) Space efficient
  7. 7. CouchDB Project: Project management app Requirements: Everything needed to have version tracking (snapshots of the entire project and all of it's associations). Solution: Hybrid system, removed version control from SQL and pass a JSON representation of the project data to CouchDB.
  8. 8. CouchDB Benefits: Drawbacks: Flexible Library support (at the time) Simplify architecture JS Views, with changing schema Robust HTTP not a fast as binary protocol
  9. 9. MongoDB Project: feesability Problem: Case estimation and planning tool, with the need to 'clone cases'. Solution: All cases data is embedded within the case document (with some references to other documents). This enables us to easily clone an entire case.
  10. 10. MongoDB Benefits: Drawbacks: Flexible Replication not here yet Fast Libraries are playing catch up Ad-Hoc queries Durability Trade-off Easy to query embedded documents
  11. 11. Conclusion Use the right tools for the job
  12. 12. Thanks! More info http://blog.bitzesty.com General NoSQL news http://nosql.mypopescu.com/
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