Made On
SingleStore

“We considered MariaDB and NoSQL databases, as well as Oracle Database in-memory. What we wanted was a relational database that had the speed of NoSQL. We chose SingleStore.”

“Retailers who formerly had to wait 1-2 days to understand what was happening with their operations can now get a finger on the pulse of their business in real time.”

“With SingleStore we've achieved 24x faster response times and a 75% reduction in total cost of ownership.”

“With SingleStore, we no longer look at the database as a limiting factor in our business.”

“I had to go to sleep every night and think about that little girl who was still being abused and how if I built the right thing we could save her. So we did.”

“When our volume started going up, My SQL would go down. That’s when we partnered up with SingleStore. We process about 200M trades/day; on a heavy day we go up to a billion trades. We have never seen downtime with SingleStore. Its architecture is well-integrated with AWS and well-integrated with Kafka. SingleStore Pipelines eliminate the need for us to go grab an ETL tool. Without SingleStore we could not be doing what we do today.”

“On the old system, we couldn’t bring in too much data. We had a large enterprise account sign up as a client, bringing a million web views a day. We had to add smart filtering to ensure it wouldn’t make our database explode. With SingleStore, I don’t have that concern anymore.”

“We looked at four players: SingleStore, BigQuery, Cloudera, and Snowflake. Several of the competitors have good features, but they all had a pitfall or two that held us back, whereas SingleStore really ticked all the boxes.”

“Getting that video data fast is ultimately what our users want, and it’s the lifeblood of Arcules. We’ve achieved that with SingleStore.”

“We are now all in on SingleStore Helios, which has allowed us to drop Redis, DynamoDB and MySQL, saving us an absolute fortune in monthly costs while dramatically improving performance.”

“Queries that would time out completely under ElasticSearch are now processing in less than 10 seconds with SingleStore, and some clock in under 1.5 seconds. We moved from the entire data pipeline including ElasticSearch costing more than $1 million annually to paying a fraction of that for SingleStore Helios, reducing our data pipeline cost by 70%.”

“We initially set up SingleStore to offload some pressure from our current databases during the Black Friday period. This proof of concept went so well we kept it running for six months before deciding to go all in and use SingleStore Helios. We were able to provide faster results for our users and scale out better than our old solution.”

“The summary dashboard used to take hours to load because of the database timeouts or processing of 500,000 entries. We were trying to jam it onto Google Firebase and get it back as fast as possible, so that was a major bottleneck. Now with SingleStore, the raffle submission data is processed in real time.”