About Seenit
500,000+
videos stored
75,000+
users
15,000+
stories collected
Challenges
- From vast catalogs of videos, find short clips that meet specific requirements
- Search videos to detect complex information like specific visual or audio elements or the sentiment of the content
- Scale to accommodate a quickly growing business by supporting new features, large files, and massive amounts of data
Outcomes
- Full-text search allows sophisticated search for any combination of words, and sentiments in over 500,000 videos stored in Couchbase
- Machine learning adds subtitles to videos and in-memory cache leads to fast response times for key-value lookup
- The platform scales and upgrades with ease, enabling what would have been a 6-month upgrade project to be completed in under a month
Switching to Capella enabled us to offload support, upgrades, and management to the Couchbase team. This has been a no-brainer from my point of view. We’re a 10-person team, so I’d rather rely on specialists’ knowledge and let my development team focus on other areas. I know Couchbase can handle whatever scale we need. It’s a really powerful tool.
Ian Merrington CTO, Seenit
