Interviews with industry experts and analysts that give you a high-level view of the networking landscape.
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Earlier this week, at the ApacheCon conference in Oakland, Calif., the newest version of Apache's enterprise search server hit the streets, named Solr 1.4. A year in the making since the previous release, Solr is a Java-based and of course, open source. Its makers say that it is every bit as good, and possibly better, than commercial enterprise search options like the Google Search Appliance. And it comes with that delightful open source price, free. Commercial support for Solr is available from a company called Lucid Imagination. Google Subnet blogger Julie Bort met with Erik Hatcher, a leading Solr developer to discuss Solr 1.4. The two also discussed why Erik thinks open source has the edge over proprietary search technologies such as Google. Visit the Google Subnet blog for Julie's take on Solr 1.4 and its chances against Google. (15:22)
Interviews with industry experts and analysts that give you a high-level view of the networking landscape.
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audio qualityBy Anonymous on November 9, 2009, 1:51 pmGreat podcast on a good topic. Too bad the audio quality was so bad. It sounded like a combination of using a home phone, then switching to Skype.
google search products are very closed-sourceBy Anonymous on November 12, 2009, 6:59 pmThe Google Search Appliance and the Business Search Engine service are fine for some companies, but they rely on Google's admin interface for configuration. Open source search engines have the huge advantage of being open. Programmers can walk through the code and understand what it's doing in a very intimate way. They can make changes to fix problems they're having, and often turn those back over over to the larger community. That's how these projects have an amazing feature set. Lucene/Solr make everything configurable, like which fields are important for relevance ranking and which languages to check for. They're carefully architected to recognize many small external module, so it's easy to add a little code to deal with special HTML tags, or remove older copies of standard documents, or do fixes for Cyrillic text. Google's search engines admins to adjust "source biasing" for relevance ranking, but they can't let anyone look at their relevance algorithms, because people would use them to game the Google Web Search algorithm. A lot depends on who is setting up search and why. Google is much easier to get running if you don't have Java programmers. Solr has commercial tools from Lucid Intelligence to make the experience easier, but even then, it's not as simple. Google will charge you $28,000 for each search appliance, though there may be a discount for staging servers and development machines. Google is not the only other enterprise search: Autonomy has decades of marketshare, FAST was just bought by Microsoft, Endeca has excellent faceting, Recommind has special features for law firms, Attivio is trying for unified information access, and those are just the ones off the top of my head. But the interesting part is not so much which one will "win", it's much more about how can people find the information they need within the glut of data.