Scalability.

Scalability.

What is your projected increase in data volume and user volume?

How scalable is your current search solution?

Rather than, Unlike:

Autonomy or Endeca.

Fast is the most linearly scalable search solution Scales in 3 different dimensions.

Volume of data – Append to the matrix, new servers to partition the index and increase the volume capacity as content grows.

Queries per second – Append to the matrix, new servers to house additional query – response services as the number of users grows.

Freshness - Append to the matrix, new servers to house additional document processing services to increase the throughput capacity.

Scalability

Business objectives, Business Challenges:

Reduce the number of servers.

Reduced total cost of ownership.

I CAN GIVE YOU AN EXAMPLE:

Associated Press were a former Autonomy customer who transitioned to FAST. When wanting to increase their query processing rate due to a growth in traffic they were advised by Autonomy to “keep adding servers”. For 5 million documents they already had 125 servers giving only 4 queries per second. FAST reduced the number of servers from 125 servers to 25. Not to give them the measly 4 QPS but 140 QPS, for complex queries on 5 million documents .

This was an 80% saving in hardware costs.

Similarly, at Autotrader.com they had previously employed a DB solution. FAST reduced the number of required servers to20 from 32. The complexity reduction meant auto trader could reduce the number of full time equivalents from 11 to one part time employee. Query processing plummeted from several seconds to a sub second response.

To summarise, this was a 47% saving in hard ware costs and a 95% saving in employee costs.