Tradelab Powers Real-Time Bidding with In-Memory Database from MemSQL
Fast, scalable SQL database gives Tradelab customers a competitive edge with instant recommendations
San Francisco, CA - September 17, 2015 - MemSQL (www.memsql.com), the leader in real-time databases for transactions and analytics, today announced that Tradelab, the leading independent programmatic media buyer in France, has selected MemSQL to process and analyze real-time bidding data at scale. Tradelab deployed the MemSQL in-memory database to increase the performance of its programmatic platform, enabling customers to engage audiences segments in real-time. In the highly competitive advertising market, processing and analyzing data in a single database produces fast and accurate bids with more targeted ads.
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Today, media companies often struggle with real-time bidding due to the sheer data volume and speed of processing required. To combat these challenges, companies need a database providing peak performance and persistence for scaling terabytes to petabytes of real-time data. Fast data access in turn delivers accurate and opportunistic recommendations for customers.
The Tradelab programmatic platform optimizes display, mobile and video campaigns for advertisers and media agencies through programmatic auctions. With over 150 active advertisers, Tradelab needed a highly scalable database combining transactions and analytics to effectively target qualified prospects. MemSQL, with a memory-optimized data path and a scale-out architecture, powers their real-time workload, reducing latency and performing 30 times faster than other technologies in the Programmatic market.
“We use MemSQL as an in-memory solution to analyze large amounts of data without sacrificing our competitive performance,” said Vincent Mady, CTO, Tradelab. “The effectiveness of our platform has increased significantly: we’re now able to keep pace with increasing data volume and provide faster insights for our customers. Ultimately, this is a better experience for their users.”
MemSQL provides in-memory performance and a complete cluster architecture on standard servers so Tradelab can meet the demand for real-time intelligence and model with more granularity. In addition, MemSQL enables Trabelab to achieve greater processing speeds with a SQL interpreter by converting SQL statements into C++ code.
“Companies like Tradelab look for ways to satisfy user demand and deliver sophisticated experiences, and the MemSQL solution gives them speed and flexibility to meet those expectations,” said Eric Frenkiel, CEO and co-founder, MemSQL. “MemSQL offers customers and partners around the world access to real-time data with a simple SQL interface to deliver business value and impact their bottom line.”
MemSQL is the leader in real-time databases for transactions and analytics.
As a purpose built database for instant access to real-time and historical data, MemSQL uses a familiar SQL interface and a horizontally scalable distributed architecture that runs on commodity hardware or in the cloud.
Innovative enterprises use MemSQL to better predict and react to opportunities by extracting previously untapped value in their data to drive new revenue.
MemSQL is deployed across hundreds of nodes in high velocity Big Data environments.
Based in San Francisco, MemSQL is a Y Combinator company funded by prominent investors including Accel Partners, Khosla Ventures, First Round Capital and Data Collective. Follow us @MemSQL or visit at www.memsql.com.