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DISTRIBUTED CACHES & STORAGES
INTRODUCTION & CLASSIFICATION
                         Max Alexejev
                          11/07/2012
        Moscow Big Systems/Big Data
About me
• 10 years experience in Java development
• Recently – In-Memory Data Grids consultant on
  various projects in Silicon Valley, USA
• Now – Tech Lead at one of invested startups in
  Moscow
• Specialized in distributed systems design, Java
  performance and GC tuning, caching and data grids

Friend of LifeStreet Media 
Lots of products in the wild
 Memcached                          Cassandra
                                                        GemStone
                  Hazelcast
                                                         GemFire

      Riak                                    Redis                 HBase
                         Oracle
                       Coherence
                                                      Infinispan
      Voldemort                     Tokyo
                                   Kabinet                         CouchDB
             MongoDB
                                    EhCache
  Neo4j                                                      …
How to classify?
   Type
   Origin
   CAP relation
By Type

                                                                                          Legacy and
    RDBMS            Key Value     NoSQL                        IMDG                GIS
                                                                                            Exotics




No, not this time   Memcached,   Explanation   Computational-
                                                                        Generic
                    EhCache      follows…        or Data-




                                                                       Coherence,
                                                                       GemFire,
                                                                       GridGain …
NoSQL – so, “Not Only” or “Not”?
                                       NoSQL




  Column-based:                                 KV+
                  Document-oriented:
     HBase,                                     Riak,
                      CouchDB,                                            Graph
   Cassandra,                                  Redis,
                      MongoDB
    SimpleDB                                   LevelDB




                                                         Full-featured:           Simplified:
                                                            Neo4J                  FlockDB
Origins: The famous PDFs
  Amazon Dynamo Paper

  • allthingsdistributed.com/files/amazon-dynamo-sosp2007.pdf

  Google BigTable Paper

  • research.google.com/archive/bigtable-osdi06.pdf

  Zookeeper distributed protocol

  • research.yahoo.com/files/ladis08.pdf (Zab protocol)
CAP properties breakdown
      CP-class:                                            CA-class:
All BigTable-based           Consistency                   RDBMS,
     (BigTable,                                             IMDG
HyperTable, Hbase,
      LevelDB)
 MongoDB, Redis,
  MemcacheDb          Partition
                                      Availability
                     Tolerance



                                AP-class:
               All Dynamo-based (DynamoDB, Cassandra,
              Voldemort, Riak), CouchDB, SimpleDB, Tokyo
                   Kabinet, Odnoklassniki’s distr. cache
Let’s use it right now for our
brand-new startup!!!

   ACID guarantees & Transactions?
   Data distribution & replication?
   Durability support?
   Ad-hoc queries?
   Operations-friendly?
   Active community?
   Additional risk management involved.
QUESTIONS?

AND CONTACTS
   HTTP://MAKSIMALEKSEEV.MOIKRUG.RU/
   HTTP://RU.LINKEDIN.COM/PUB/MAX-ALEXEJEV/51/820/AB9
   MALEXEJEV@GMAIL.COM
   SKYPE: MALEXEJEV

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Distributed Caches and Storages - presentation

  • 1. DISTRIBUTED CACHES & STORAGES INTRODUCTION & CLASSIFICATION Max Alexejev 11/07/2012 Moscow Big Systems/Big Data
  • 2. About me • 10 years experience in Java development • Recently – In-Memory Data Grids consultant on various projects in Silicon Valley, USA • Now – Tech Lead at one of invested startups in Moscow • Specialized in distributed systems design, Java performance and GC tuning, caching and data grids Friend of LifeStreet Media 
  • 3. Lots of products in the wild Memcached Cassandra GemStone Hazelcast GemFire Riak Redis HBase Oracle Coherence Infinispan Voldemort Tokyo Kabinet CouchDB MongoDB EhCache Neo4j …
  • 4. How to classify?  Type  Origin  CAP relation
  • 5. By Type Legacy and RDBMS Key Value NoSQL IMDG GIS Exotics No, not this time Memcached, Explanation Computational- Generic  EhCache follows… or Data- Coherence, GemFire, GridGain …
  • 6. NoSQL – so, “Not Only” or “Not”? NoSQL Column-based: KV+ Document-oriented: HBase, Riak, CouchDB, Graph Cassandra, Redis, MongoDB SimpleDB LevelDB Full-featured: Simplified: Neo4J FlockDB
  • 7. Origins: The famous PDFs Amazon Dynamo Paper • allthingsdistributed.com/files/amazon-dynamo-sosp2007.pdf Google BigTable Paper • research.google.com/archive/bigtable-osdi06.pdf Zookeeper distributed protocol • research.yahoo.com/files/ladis08.pdf (Zab protocol)
  • 8. CAP properties breakdown CP-class: CA-class: All BigTable-based Consistency RDBMS, (BigTable, IMDG HyperTable, Hbase, LevelDB) MongoDB, Redis, MemcacheDb Partition Availability Tolerance AP-class: All Dynamo-based (DynamoDB, Cassandra, Voldemort, Riak), CouchDB, SimpleDB, Tokyo Kabinet, Odnoklassniki’s distr. cache
  • 9. Let’s use it right now for our brand-new startup!!!  ACID guarantees & Transactions?  Data distribution & replication?  Durability support?  Ad-hoc queries?  Operations-friendly?  Active community?  Additional risk management involved.
  • 10. QUESTIONS? AND CONTACTS  HTTP://MAKSIMALEKSEEV.MOIKRUG.RU/  HTTP://RU.LINKEDIN.COM/PUB/MAX-ALEXEJEV/51/820/AB9  MALEXEJEV@GMAIL.COM  SKYPE: MALEXEJEV

Editor's Notes

  1. This template can be used as a starter file for presenting training materials in a group setting.SectionsSections can help to organize your slides or facilitate collaboration between multiple authors. On the Home tab under Slides, click Section, and then click Add Section.NotesUse the Notes pane for delivery notes or to provide additional details for the audience. You can see these notes in Presenter View during your presentation. Keep in mind the font size (important for accessibility, visibility, videotaping, and online production)Coordinated colors Pay particular attention to the graphs, charts, and text boxes.Consider that attendees will print in black and white or grayscale. Run a test print to make sure your colors work when printed in pure black and white and grayscale.Graphics, tables, and graphsKeep it simple: If possible, use consistent, non-distracting styles and colors.Label all graphs and tables.
  2. Give a brief overview of the presentation. Describe the major focus of the presentation and why it is important.Introduce each of the major topics.To provide a road map for the audience, you can repeat this Overview slide throughout the presentation, highlighting the particular topic you will discuss next.