We are happy to support Molecula’s webinar: Four Requirements to Efficiently Deliver Real-Time Data at Scale. Join us on March 2nd, 2022 | 12:00 pm CST  

Today accessing the fastest and freshest data at scale to support advanced analytics, machine learning, and AI requires expensive, complex physical infrastructure and dedicated resources to preprocess data for every use case. This rigid approach, coupled with complex infrastructures, creates dependencies, redundancies, and extensive operational costs. 

So how are developers of high-performance applications supposed to deliver? Through real-time access to massive data sets.  To get this, they are constantly striving to balance four key requirements: 

• Low Latency: Are queries fast enough?

• Fresh Data: Can they immediately act on data as it’s created? 

• High Throughput: Can they ingest massive volumes of data from multiple sources in real-time?

• High Concurrency: Can the database respond in milliseconds to thousands of simultaneous queries?

To achieve all of the above today, engineering teams are forced to make costly concessions. It doesn’t have to be this way.

Join the webinar on March 2nd, 2022 | 12:00 pm CST to learn how to efficiently meet all four requirements and how to avoid the typical tradeoffs used to achieve real-time data access. 

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