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What Every Developer Should Know About Database Scalability

Jonathan Ellis (DataStax)

11:35am Friday, 07/24/2009

Databases
Location: Exhibit Hall 3

Presentation File:
What Every Developer Should Know About Database Scalability Presentation [PDF]

Average rating:

(3.85, 13 ratings)

Introduction

CAP theorem
basic RDBMS architecture: random-write oriented (transaction log notwithstanding)
hardware limits
caching

Replication

Good for read-mostly work loads
Relatively simple
Single-master + failover most common
Even multi-master is limited by the write throughput of a single node

Partitioning

Each node only has to handle a subset of the writes
More complex than replication
Vertical
Horizontal (“sharding”)

Bigtable/HBase/Hypertable

Built on GFS/HDFS; relatively complex design
Multiple single points of failure (designed for consistency, not availability)
Relatively rich columnfamily-based data model
Largest OSS community

Dynamo/Dynomite/Voldemort

P2P design with only one type of process; no single points of failure
Designed for availability; provides tools for client to make consistency decisions
key/value data model
Small OSS community

Cassandra

Dynamo architecture + Bigtable data model, designed by one of the Dynamo authors
Small OSS community

People planning to attend this session also want to see:

Jonathan Ellis

DataStax

Jonathan is an expert in databases and distributed systems. At Mozy, he built a scalable multi-petabyte storage system based on Reed-Solomon encoding.

He currently works on cloud infrastructure for Rackspace.

Web site

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Comments

David James

07/23/2009 5:57pm PDT

Hmmm, this has a five star rating even though the talk hasn’t happened yet. :)

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