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MemSQL Customer Use Cases

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The Database for Speed, Scale & Simplicity

MemSQL is a distributed in-memory and column store database for real-time and historical Big Data analytics. Our fast data processing allows you to extract greater value and deeper insights in real time.

Key Features

• Rapid data load and query execution• Easy horizontal scale-out on commodity

hardware• Familiar SQL interface• Mixed OLTP and OLAP workloads• Support for relational and JSON data

Use Cases• AdTech

• Real-time bidding & attribution• Recommendations

• Financial Services• OMS, risk management

• Ecommerce• Performance monitoring• Fraud detection• Recommendations

• Event & Machine Data• Machine data collection

© 2014 MemSQL - Confidential & Proprietary

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What Analysts Are Saying about MemSQL


“While SAP draws so much attention to in-memory databases by marketing their Hana database, MemSQL seems to be a less expensive and more agile solution in this space.” — Svetlana Sicular

“With it’s in-memory database, MemSQL is well positioned to enable organizations to analyze operational data in real time and attain operational insights faster.” — Matt Aslett

“MemSQL adding true SQL-based access to JSON promises to bring analytical response to multi-structured datasets in a way that will be difficult to match.” — John Myers

“MemSQL delivers extreme performance at scale… whether running on commodity hardware or in the cloud.” — Nik Rouda

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MemSQL Delivers Results


“MemSQL is the right platform to handle our scale and provide real-time insights, allowing us to effectively manage our infrastructure and prevent anomalies.” — VP Technical Operations

“The new capabilities in MemSQL v3.0 allow CPXi to leverage historical data stores and use them to shape real-time responses.” — SVP Product & Technology

“MemSQL’s in-memory clustering architecture allows us to gain fast insights fro our Big Data at scale, which is critical to growing our business and increasing player value.” — GM of Platform & Engineering

“We were looking for a solution that would keep up with the amount of data that we process and MemSQL was the only solution that fit all of our needs.” — Software Engineering Manager

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Comcast: Real-Time Intelligence and Monitoring

• Background: Comcast is the largest mass media and communications company in the world. Its VIPER team was created to deliver IP video to Apple, Microsoft, and Samsung devices.

• Challenge: The VIPER team needed a fast, scalable database for real-time intelligence. The team needed to monitor the health of streaming video data for millions of users and respond immediately to any glitches in their system.

Solution:• Comcast removed the disk I/O

bottleneck for streamlined real-time calculations.

• MemSQL allows Comcast to aggregate statistics across their entire database white simultaneously executing complex analysis.

• MemSQL’s horizontally-scaled platform results in deeper analysis, faster results and subsequent action.


Headquarters Industry SizePhiladelphia, PA Media 126,000

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Zynga: Accelerating Data for Multi-Player Gaming

• Background: Zynga develops social games such as Farmville and Words with Friends that have millions of active daily users.

• Challenge: Zynga needed a faster, more scalable database to serve real-time recommendations and ads, and to create advanced multi-player games.

Solution:• MemSQL allows Zynga to make

decisions based on billions of data points on millions of users in real time.

• By deploying more than 600 nodes, Zynga can store weeks of game data in-memory, instantly recalling it to make informed real-time decisions.

• Zynga developers can make real-time in-game decisions based on players’ engagement levels with new game extras or interactions with other players.


Headquarters Industry SizeSan Francisco, CA Gaming 1,300

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CPXi: Real-Time Bidding for Faster, More Targeted Ads

• Background: CPXi is a global digital media company that connects consumers and brands, serving over 6 billion impressions per day.

• Challenge: Data ingest speeds were too slow to support demanding, real-time bidding. CPXi needed a solution that could scale with demand and meet demanding SLAs.

• Solution:• MemSQL reduced CPXi’s ETL

processing tasks from 12-24 hours to just seconds.

• Switching from Hadoop to MemSQL allowed CPXi to cut 50 percent of their EC2 instances and 50 TB of storage in Amazon Cloud, saving hundreds of thousands of dollars per year.

• MemSQL is helping CPXi built a data-driven culture by making data accessible to everyone in the organization through a familiar SQL interface.


Headquarters Industry SizeNew York, NY AdTech 150

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• Background: Shutterstock is a stock photography agency that maintains a library of 30 million stock photos, vector graphics, illustrations, and video clips.

• Challenge: Data ingest speeds were unable to support full real-time dashboards and comparisons against historical data for Shutterstock’s massive globally-distributed operations platform.

Solution:• MemSQL allows Shutterstock to collect

more than 20 thousand data points per second and query the data simultaneously.

• Shutterstock is now able to monitor thousands of servers and can view trends and anomalies with real-time series visualization.

• Shutterstock uses MemSQL as the backbone of their real-time monitoring system to prevent outages and downtime, which saves the company thousands of dollars per year.


Headquarters Industry SizeNew York, NY Internet 400

Shutterstock: Real-Time Operations Analysis

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Kurtosys: Real-Time Risk Reporting for Asset Mangers• Background: Kurtosys is a global

provider of digital marketing and client reporting tools that help asset managers attract and retain investor assets.

• Challenge: Kurtosys needed a system to serve concurrent reads for thousands of asset managers, as multiple clients needed to be able to access information simultaneously. The database solution also needed to be able to scale with the workload and support JSON data.

Solution:• Kurtosys is able to query relational and

JSON data together with SQL without performing ETL, enabling real-time analytics on data feeds of variable structure. Kurtosys is able to deliver faster, more accurate reports to their customers.

• Kurtosys no longer must write application code or de-normalize data for every JOIN in an object database.

• MemSQL’s ability to scale out horizontally on commodity hardware ensures that Kurtosys now has the ability to meet SLAs and scale as demand grows.


Headquarters Industry SizeLondon, UK FinTech 100

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Ziff Davis: Managing Web Properties• Background: Ziff Davis is a leading

media company specializing in the technology market. The company uses an advanced ad-targeting platform, focusing on over 50 million buyers each month.

• Challenge: Previous NoSQL databases weren’t providing the performance or structure needed to efficiently manage their web properties.

• Solution:• MemSQL ensures rapid processing of

billions of events and 65 million URLs with sub-second response times.

• MemSQL is now the backbone of Ziff’s distributed audience analysis process, generating specific profiles to determine buying patterns and levels of interest across their eight web properties.

• MemSQL allows Ziff Davis to expand the capacity of their cluster without taking the database offline; Ziff can now scale quickly and easily as demand fluctuates.


Headquarters Industry SizeNew York, NY AdTech 500

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Clarity Services: Real-Time Fraud Detection• Background: Clarity Services is the

leading real-time credit bureau, providing fraud detection and credit risk management solutions.

• Challenge: Provide fraud detection and credit risk management in real-time by coupling traditional credit-check sources with proprietary information on subprime consumer data.

Solution:• MemSQL allows Clarity Services to run

thousands of unique queries and JOINs against large data sets to continuously provide the latest real-time credit information from all of their algorithms and data sources.

• Zero downtime is a must. MemSQL gives Clarity the durability and multi-site capabilities to ensure their providers never have issues running credit checks.

• The application is primarily Ruby on Rails; all Ruby tools and code work flawlessly with out-of-the-box MemSQL.


Headquarters Industry SizeClearwater, FL Finance 100

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• Background: Established in 2010, Tradelab optimizes adtech display campaigns for digital advertising agencies.

• Challenge: Tradelab’s NoSQL database was introducing cost and latency to the real-time bidding process. The company wanted to store more data in memory without sacrificing performance.

Solution:• MemSQL replaced Tradelab’s NoSQL

database and allows the company to store more data in memory.

• MemSQL allows Tradelab to achieve speeds more than 30 times faster than before, close to the millisecond, while simultaneously reducing cost and latency.

• Tradelab now powers its proprietary ad-tech technology with MemSQL; the company has been able to optimize their software performance and realize new efficiencies of scale.


Headquarters Industry SizeParis, France AdTech 50

Tradelab: Accelerating Real-Time Bidding Software

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Novus: Achieving Performance at Massive Scale

• Background: Novus is a portfolio analytics platform for institutional investors to analyze risk, performance, and exposures.

• Challenge: Novus needed a powerfully fast and reliable database to allow the company to grow.

Solution:• MemSQL provides Novus with a

massively scalable infrastructure that allows instant access to data while loading huge data volumes.

• Real-time analytics are no longer blocked while writes are in process.

• MemSQL stabilized business operations and provides reliable and simple operational control.

• MemSQL provided a 10x performance increase over Novus’ previous MongoDB solution.


Headquarters Industry SizeParis, France AdTech 50

14© 2014 MemSQL - Confidential & Proprietary

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