A few weeks ago I sat in on a workshop in London at the Taxonomy Boot Camp conference, run by Jeff Fried of BA Insight. I've known Jeff for many years from various events and we share some views on how search systems should be built and managed - using best-of-breed technology and effective management processes. He was kind enough to ask me to join a recent podcast which you can listen to Continue reading
One of the questions we're asked all the time is which of the two most popular open source search engines is best for a particular use case - and the answer is always 'it depends'. Broadly speaking, Apache Lucene/Solr and Elasticsearch are very similar in terms of features and performance. If you've already chosen one of them, there's very few reasons to incur the inevitable extra work of switching to the other. However if you're still not sure which to choose, read on. Solr,...Continue reading
- Building an open source search team is hard - let us help with training & mentoring on Solr and Elasticsearch
- RS Components: Flax & Quepid help us to make "crucial" data driven decisions for tuning search
- 40x faster indexing with Elasticsearch for Hadoop - over a gigabyte per second!
A common complaint from our clients is how difficult it is to find staff with experience of search applications and in particular Apache Lucene/Solr or Elasticsearch. With the explosive growth of open source search over the last few years, there simply aren't enough people on the market with the right skills and...Continue reading
As I'm currently writing content for our new Flax website (which is taking far longer than anticipated for various reasons I won't bore you with) I've been thinking about the sort of projects we encounter at Flax. You might find this useful if you're planning or starting a search project with Solr or Elasticsearch. Note that not everything we do fits cleanly into these four categories!