NoSQL Comparison - Couchbase, MongoDB and Cassandra

1. CouchConf Tokyo
Lightning Talk
Comparison of Couchbase,
MongoDB and Cassandra
2012/01/27
DOCOMO Innovations, Inc.
Credit: James Phillips, Couchbase, Inc.
Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved. 1

2. Introduction
• Yas Naoi
• DOCOMO Innovations, Inc.
• Project Manager / Architect
• naoi@docomoinnovaitons.com
• Twitter: @yas
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3. Cassandra
• Pros
- Optimized to write very rapidly (+ cache)
- Real-time vs Analytics: More suitable for analytics
- Can add many nodes but re-write in-memory and database file
• Cons
- Complex design for app developers
- Read vs Write – Cassandra’s Read: Always complex
- Column collection - Schemable
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4. MongoDB
• Pros
- Really competing (rather than Cassandra, for Couch)
- Easy to use
- Ad-hoc Query approach for beginner developers
• Cons
- Hard to do data moving (to another database) by sharding
- Couch thinks Ad-hoc Query capability is more important
- Couch is trying to fill the gap in MongoDB
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5. Couchbase vs. MongoDB
• Object Handling in Memory
- Mongo: Mongo has OS memory-mapped tech
but In-memory only → page fault
- Couch: In-memory + database file
Re-cache - scheduled
• Power Failure
- Mongo: While flushing memory to disk
- Couch: Transaction completing
→ Commit, crash-only architecture – safer
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6. Couchbase, Mongo and Cassandra
• Performance
- Mongo: Object write data into memory, MRU mechanism
- Couch: Caching gracefully:
Memory mapping object / Memory managed object tech
- Cassandra: Write throughput is faster
• Big Data Analysis vs Big User Data
- 1) How do we analyze big data? (Cassandra)
- 2) How do we build application? (Couch)
• Geo
- Mongo: Mongo w/ API is better than Geocouch
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7. Thank You
"Coming together is a beginning, keeping together is a
progress; working together is a success.“
- Henry Ford
Yas Naoi
naoi@docomoinnovations.com
+1-408-256-0855
Twitter: @yas
Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved. 7