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Customer Success Stories

Monitoring and Response Applications
Analytic applications that require continuous monitoring and response for business critical events use MemSQL. Through the power of scalable SQL, companies such as Kellogg's, Uber, and Akamai utilize MemSQL for their data processing needs.
FEATURED CUSTOMER
Comcast can deliver proactive diagnostics to ensure its customers receive a premium video experience.
We’re now able to aggregate statistics across the entire US as well as glue on to complex streams for complex analysis. We like to say we gave the gift [of MemSQL] to a lot of groups at Comcast.
Christopher Lintz, Senior Principal Architect

Scalable Real-Time Dashboards
MemSQL simplifies data processing by optimizing costly ETL processes and delivering highly concurrent responsive dashboard experiences against live data. The standard SQL interface provides drop-in compatibility with dashboard tools such as Tableau, Looker, Microstrategy, Zoomdata ,and more.
FEATURED CUSTOMER
Kellogg's moved from weekly to intraday analysis to optimize its supply chain, while streamlining its ETL processes and improving dashboard performance.
Every business user is requesting speed and the ability to move at an incredibly iterative pace, we need to be able to provide that and in-memory allows us to do so.
JR Cahill, Principal Architect

Datastore Consolidation
The scalable SQL platform of MemSQL gives customers a data consolidation solution to eliminate costly data replication tools, specialty data stores, and architecture complexity. The fast distributed architecture runs on standard hardware delivering performance for mixed workload applications.
FEATURED CUSTOMER
Akamai is able to ingest granular data faster while reducing data replication and datastore proliferation to deliver accurate billing reports for operational advantage.
MemSQL as a core technology in our IT infrastructure allows us to ingest granular data more rapidly with higher scalability and efficiency.
Mike DePrizio, Senior Architect

Customer 360
Customer360 applications need a fast, efficient ingestion and analysis database platform that works with existing operational systems. The result is breakthrough analytic performance across millions of customer interactions in real time for the ultimate customer engagement and response.
FEATURED CUSTOMER
DellEMC can deliver up-to-the-moment customer360 dashboards to provide accurate and timely information for sales and service personnel.
The addition of MemSQL to our data lake architecture helps us stream data across numerous sources and accounts, eliminating historical latency in our data flow.
Darryl Smith, Chief Data Platform Architect

Advertising Analytics
MemSQL simplifies data processing by optimizing costly ETL processes and delivering highly concurrent responsive dashboard experiences against live data. The standard SQL interface provides a drop-in compatibility with dashboard tools such as Tableau, Looker, Microstrategy, Zoomdata , and more.
FEATURED CUSTOMER
Tapjoy boosted revenue and increased ad efficiency by applying predictive models on real-time data.
Working with MemSQL, we gain an unprecedented advantage in real-time analytics, delivering effective models for our partners to increase engagement rates and boost revenue.
David Abercrombie, Principal Data Analytics Engineer

What MemSQL Customers are Saying
Gartner gathered this feedback from MemSQL customers as part of a third-party study.

MemSQL has proven to be the database where design, cost, architecture, technology are efficiently considered to make the product perform better then any other competitor.

Senior App Developer, Communications Industry

Company Size: < 50M USD

the ability to scale and manage is unparalleled.

Principal Search Scientist in the Services Industry

Company Size: 50M - 250M USD

Our overall experience was great. MemSQL worked and performed well out of the box. As we moved to more and more complex usecases our MemSQL contact was able to help us over any and all roadblocks.

VP & Chief Architect in the Education Industry

Company Size: 250M - 500M USD


Case Study Resources

Video: Real-Time Analytics at UBER Scale
Case Study
Video: Real-Time Analytics at UBER Scale
At Strata+Hadoop World, James Burkhart, technical lead on real-time data infrastructure at Uber, shared how Uber supports millions of analytical queries daily across real-time data with Apollo, Uber’s internal analytics querying language
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Real-Time Stream Processing Architecture with Hadoop and MemSQL
Case Study
Real-Time Stream Processing Architecture with Hadoop and MemSQL
MemSQL customer, Comcast, focuses on real-time operational analytics. By using MemSQL and Hadoop together, Comcast can proactively diagnose potential issues from real-time intelligence and deliver the best possible video experience.
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How Kellogg Reduced 24-Hour ETL to Minutes and Boosted BI Speed by 20x
Case Study
How Kellogg Reduced 24-Hour ETL to Minutes and Boosted BI Speed by 20x
The ease of integrating additional EC2 nodes into the MemSQL cluster supported the scale Kellogg required for new user concurrency and data volumes. Additionally, MemSQL provided Kellogg the ability to leverage AWS S3 and Kafka through the MemSQL data ingestion pipelines.
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Pandora Repost: Using MemSQL to Query Hundreds of Billions of Rows in a Dashboard
Case Study
Pandora Repost: Using MemSQL to Query Hundreds of Billions of Rows in a Dashboard
In 2016, Pandora chose MemSQL to serve as the data store and foundation for solving a specific business problem. This post explores the business challenges facing Pandora, its technical requirements, how the team implemented MemSQL, and more.
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Tapjoy: Moving to MemSQL
Case Study
Tapjoy: Moving to MemSQL
MemSQL had everything we wanted, and after an initial pilot, we confirmed it would meet our stated requirements. But the proof is in the pudding. We set out to build a cluster, shadow-write data to it, and put it through a battery of tests to make sure it would hold up to our use cases.
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Monitoring A/B Experiments In Real Time
Case Study
Monitoring A/B Experiments In Real Time
As a data driven company, we rely heavily on A/B experiments to make decisions on new products and features. How efficiently we run these experiments strongly affects how fast we can iterate. By providing experimenters with real-time metrics, we increase our chance to successfully run experiments and move faster.
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