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4 Requirements to Efficiently Deliver Real-Time Data at Scale

Developers of high-performance applications deliver real-time analytics on massive data sets. To do this, they must balance four requirements while remaining efficient:

  • Low Latency: Are your queries fast enough?
  • Fresh Data: Can you immediately act on data as it’s created?
  • High Throughput: Can you instantly ingest massive volumes of data?
  • High Concurrency: Can your database respond in milliseconds to thousands of simultaneous queries?

Watch our 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.

**Note: This webinar was recorded before we rebranded from Molecula to FeatureBase!

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Open Source install commands are included below.

open source CODESTART CLOUD TRIAL

git clone https://github.com/FeatureBaseDB/featurebase-examples.git
cd featurebase-examples/docker-example

docker-compose -f docker-compose.yml up -d

# TIP: Disable Docker compose v2 if needed by going to settings..general in Docker Desktop.

git clone https://github.com/FeatureBaseDB/featurebase-examples.git
cd featurebase-examples/docker-example

docker-compose -f docker-compose.yml up -d

# TIP: Disable Docker compose v2 if needed by going to settings..general in Docker Desktop.