Improves our search ranking, relevancy, search performance, and user retention
How has it helped my organization?
It has improved our search ranking, relevancy, search performance, and user retention.
What is most valuable?
- Sharding data
- Hit Highlighting
- Parent-child Block Join and Grouping
- Multi-mode platform
What needs improvement?
SolrCloud stability, indexing and commit speed, and real-time indexing need improvement.
For how long have I used the solution?
Three to five years.
What do I think about the stability of the solution?
- Encountered issues with both master-slave and SolrCloud.
- Indexing and serving traffic from same collection has very poor performance.
- Some components are slow for searching.
What do I think about the scalability of the solution?
With increased sharding, performance degrades. Merger, when present, is a bottle-neck. Peer-to-peer sync has issues in SolrCloud when index is incrementally updated.
How are customer service and technical support?
Online content is available, but release cycle is relatively slow. Since it's open-source, there is no dedicated support to reach out to when there is a P1 issue.
Which solution did I use previously and why did I switch?
How was the initial setup?
Complex in making system scalable and performant enough.
Which other solutions did I evaluate?
What other advice do I have?
One of the best search platforms available today.
Which version of this solution are you currently using?
Find out what your peers are saying about Apache, Microsoft, Elastic and others in Search as a Service. Updated: September 2021.
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