Loop optimise ses coûts Snowflake pour des milliers d'utilisateurs d'analytics embarquée
IF
Ian FaheySenior Analytics Engineer chez Loop
20%
de réduction immédiate des coûts
$20K
de hausse de coûts évitée
Making the cloud effortless for thousands of companies
Les équipes en forte croissance s'appuient sur SELECT
Comment Personio a ancré la maîtrise des coûts tout en déployant Snowflake auprès de plus de 280 utilisateurs
DZ
Douglas ZickuhrSenior Data Platform Engineer chez Personio
60%
De réduction des temps d'exécution des pipelines dbt
280+
D'utilisateurs directs de Snowflake pris en charge
Comment Kargo a identifié 500 000 $ d'économies par an et multiplié par 5 son ROI avec SELECT
DK
Diana KoshyDirecteur senior du Data Engineering chez Kargo
5X
ROI
30%
De réduction des coûts de warehousing Looker
$500K/year
De coûts de traitement d'événement identifiés
HomeChef maîtrise ses coûts Snowflake et sensibilise toute son équipe analytics aux coûts
DM
Devin McGeeResponsable Data Engineering chez Home Chef
60%
d'économies
15X
de hausse des coûts avant SELECT
30 minutes
de mise en place
35 % d'économies Snowflake : comment Entain a transformé sa gestion des coûts en donnant les bons outils à ses équipes
BB
Blake BaggettResponsable des opérations data chez Entain
35%
De réduction des coûts Snowflake
50%
De réduction des coûts de pipelines de données
$200K
D'économies annuelles sur l'ingestion
ClickUp : une stratégie FinOps proactive pour Snowflake, avant que les coûts n'explosent
MR
Michael ReveloResponsable data et analytics engineering chez ClickUp
40 % d'économies sur Snowflake en seulement deux semaines
SC
Skyler ChiSVP, GTM Productivity & Excellence chez Exiger
40%
de réduction des coûts
20x
de ROI
$700K
de hausses de coûts évitées
Coûts Snowflake divisés : comment une startup IA en hypercroissance a repris le contrôle avec 60 % d'économies
EM
Edward ManceyResponsable Go-to-Market chez Synthesia
60%
De réduction des coûts
10X
De croissance des coûts en 2 ans
Customer Love.Supercharging thousands of data cloud users.
Read more customer love“SELECT is a team favorite - its cost monitoring and auto savings give us peace of mind that our Snowflake spend is in check. The platform’s detailed insights across SQL queries, dbt, and Looker usage provides a comprehensive view into credit spend that is unmatched by other solutions. SELECT has helped us significantly optimize how we use Snowflake.”
Dan CorcoranSenior Data Engineering Manager at Gopuff
“SELECT's app has become an invaluable resource to our company. It clearly breaks down our costs to allow us to focus on the most important areas of cost. SELECT has repeatedly surfaced inefficient common query patterns, and has helped us spot 200 TiB of unused tables to drop, resulting in continued significant cost savings. SELECT is always adding new features to help their customers better understand and reduce their spending. We can't recommend them highly enough!”
Sean AbrahamSenior Principal Software Engineer at VideoAmp
“I love clicking through SELECT to understand how our environment and workloads are evolving. I probably check it every day. It's coffee and SELECT for me every morning.”
Ian FaheySenior Analytics Engineer at Loop
“SELECT helps us quickly identify inefficient queries that consume unnecessary Snowflake credits, providing all the information we need in a single application. With the Automated Savings feature, we were able to allocate credits to new compute-intensive data projects.”
Jessica FranksData Engineering Manager at NOTHS
“This is the easiest thing we've ever done to save money - 20x ROI. Does this not exist for AWS?”
Skyler ChiSVP, GTM Productivity & Excellence at Exiger
“SELECT provides our team with complete visibility into all aspects of our Snowflake bill and usage. Our team regularly uses SELECT to monitor costs and get alerted on key changes. The dbt & Looker integrations are also super helpful for identifying performance bottlenecks.”
Jonathan TalmiSenior Data Engineering Manager at Super
“SELECT helped us monitor and reduce our overall Snowflake spend by almost 40%. The reporting showed me bottlenecks in minutes that would’ve otherwise taken weeks to dig through metadata and sort out. The 'Automated Savings' savings feature alone is saving us over $10k a month across our accounts, allowing us to bring on new workloads.”
Garrett McClintockAnalytics Engineering Manager at Heap
“Before SELECT, we were blind to our Snowflake cost drivers. Minutes after install, we identified a single job that was driving over 20% of our costs. The instant visibility & not having to build & maintain our own monitoring makes a big difference for a lean team like ours.”
Erik WebbHead of Data at Clair
