Real Estate / PropTechSourced
Case Study: Real Estate Analytics made its data pipeline 50x faster with ClickHouse
Real Estate Analytics Case StudySourced & dated by Case Study Desk
Key results
The challenge
Real Estate Analytics offers interactive, frequently updated real estate market analytics. Its architecture relied on MongoDB, where interactive queries took several seconds and a key pipeline operation ran about half an hour, which was unacceptable for a product marketed as interactive.
The solution
After evaluating ClickHouse at a Singapore ClickHouse meetup, the team migrated its data pipeline to ClickHouse.
“ClickHouse saved us from quite a number of headaches.”
SLYi Sam LeeLead, Real Estate Analytics
The results, in context
The company reported that queries which had taken several seconds in MongoDB ran about 10 times faster in ClickHouse, and that a pipeline operation which previously took roughly half an hour finished in under 30 seconds, a 50x improvement. Figures are quoted from the published story and dated.
Products used
ClickHouse ClickHouse