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Data Streaming Platforms… To Build or to Buy?

We’ve put together a decision tree that will help you evaluate your current data streaming setup and trajectory to assess whether a fully managed data streaming platform is a good fit for you.

Kafka has become widely accepted as the de facto technology for data streaming in nearly every industry to harness streaming data and deliver rich customer experiences and real-time business insights.

But operationalizing Kafka isn’t always a simple task. As organizations expand their data streaming use cases over time, it can become increasingly costly and complex to manage and maintain Kafka systems in-house.

That’s why innovative companies are moving towards managed services. Businesses everywhere are looking to offload operational complexities that aren’t in their core competency and move away from self-managing distributed systems.

We’ve put together a decision tree that will help you evaluate your current data streaming setup and trajectory to assess whether a fully managed data streaming platform is a good fit for you.

Follow the questions below to find out what the answer will be for your organization, and check out our Build vs. Buy guide for a deep dive into the criteria we recommend using to evaluate your data streaming needs.

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