Elasticsearch vs. Solr: performance improvements

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I had been planning not to continue with these posts, but after Matt Weber pointed out the github pull requests (which to my embarrassment I'd not even noticed) he'd made to address some methodological flaws, another attempt was the least I could do. For Solr there was a slight reduction in mean search time, from 39ms (for my original, suboptimal query structure) to 34ms and median search time from 27ms to 25ms - see figure 1. Elasticsearch, on the ...Continue reading

London Text Analytics Meetup – Making sense of text with Lumi, Signal & Bloomberg

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This month's London Text Analytics Meetup, hosted by Bloomberg in their spectacular Finsbury Square offices, was only the second such event this year, but crammed in three great talks and attracted a wide range of people from both academia and business. We started with Gabriella Kazai o...Continue reading

Out and about in search & monitoring – Autumn 2015

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It's been a very busy few months for events - so busy that it's quite a relief to be back in the office! Back in late November I travelled to Vienna to speak at the FIBEP World Media Intelligence Congress with our client Infomedia about how we've helped them to migrate their media monitoring platform from the elderly, unsupported and hard to scale Continue reading

Elasticsearch vs. Solr performance: round 2.1

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Last week's post on my performance comparison tests stimulated quite a lot of discussion on the blog and Twitter, not least about the large disparity in index sizes (and many thanks to everyone who contributed to this!) The Elasticsearch index was apparently nearly twice the size of the Solr index (the performance was also roughly double). In the end, it seems that the most likely reason for the appare...Continue reading

Elasticsearch vs. Solr performance: round 2

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About a year ago we carried out some performance comparison tests of Solr (version 4.10) and Elasticsearch (version 1.2) and presented our results at search meetups. Our conclusion was that there was not a great deal of difference. Both search engines had more than adequate performance for the vast majority of applications, although Solr performed rather better with complex filter quer...Continue reading

Luwak 1.3.0 released

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The latest version of Luwak, our open-source streaming query engine, has been released on the Sonatype Nexus repository and will be making its way to Maven Central in the next few hours.  Here's a summary of the new features and improvements we've made: Batch processing I...Continue reading

Flax Newsletter November 2015

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In this month's Flax Newsletter:

  • 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!
...Continue reading