4 Requirements to Efficiently Deliver Real-Time Data at Scale
Are you struggling to support real-time capabilities at scale?
Do you have TBs of data and real-time analytics needs?
Watch to find out how FeatureBase can help.
With the ever-increasing volumes of data that teams are asked to support every day, organizations need a real-time solution that can scale with their workloads. FeatureBase separates itself from other so-called “real-time” solutions by addressing the four requirements to deliver real-time data at scale efficiently:
- Low Latency: Can you run millisecond queries across distributed datasets with billions of records?
- Fresh Data: Do your workloads use real-time data to optimize results?
- High Throughput: Can you scale your streaming ingest to handle over 1M Kafka Messages/Second?
- High Concurrency: Can your database respond in milliseconds to thousands of simultaneous queries?
Watch our on-demand webinar to learn how to efficiently meet all four requirements and how to avoid the typical tradeoffs and workarounds used to achieve real-time data access.
Erica Fowler, PhD
Senior Product Marketing Manager
Erica is a strategy and analytics professional with 12 years of experience designing, implementing, and read more…