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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
Introduction


 •     Yas Naoi
 •     DOCOMO Innovations, Inc.
 •     Project Manager / Architect
 •     naoi@docomoinnovaitons.com
 •     Twitter: @yas




Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved.   2
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



Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved.          3
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



Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved.       4
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




Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved.   5
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




Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved.   6
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

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CouchConf Tokyo DOCOMO Innovations Lunchtime Lightning Talk (English)

  • 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 Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved. 2
  • 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 Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved. 3
  • 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 Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved. 4
  • 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 Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved. 5
  • 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 Copyright © 2012 DOCOMO Innovations, Inc. All Rights Reserved. 6
  • 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