How to Stream Data From AWS PostgreSQL to Databricks Using Streamkap

Introduction

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In today’s fast-moving world, businesses need the right data at the right time to make smart decisions. But let’s face it—traditional data processing can be slow and complicated. 

That’s where Streamkap steps in to save the day and help you Streamkap-italize your data! With Streamkap, you can set up real-time streaming from AWS PostgreSQL to Databricks in just minutes—not months. 

And the best part? Your entire data pipeline runs with lightning-fast, sub-second latency, all while costing less than those clunky old ETL methods. 

In this guide, we’ll show you how Streamkap makes it super simple to move and transform data in real time. Whether you're a data geek or a business pro, you'll see just how easy it is to dive into a world of faster insights and smoother operations. 

Ready to Streamkap-italize your data? Let’s go!

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Prerequisites

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To follow along with this guide, ensure you have the following in place:

1. Streamkap Account: To get started, you'll need an active Streamkap account with admin or data admin privileges. If you don't have one yet, no worries—you can sign up here or ask your admin to grant you access.

2. Databricks Account: An active Databricks account is required with data warehouse administrative privileges. If you don’t have one yet, sign up here.

3. Amazon AWS Account: An active Amazon AWS account with core RDS and networking permissions to create, configure or modify an AWS RDS instance. If you don’t have one yet, sign up here.

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AWS RDS PostgreSQL Set Up →

Databricks Warehouse Set Up→

Streamkap Set Up →

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Conclusion

Connecting AWS PostgreSQL to Databricks via Streamkap takes minutes, not months. Streamkap provides a seamless and efficient way to unlock the potential of real-time data streaming. By following the steps outlined above, you can integrate these powerful platforms with sub-second latency, enabling dynamic analytics and data-driven decision-making at scale.

Streamkap stands out as a solution that’s as easy to set up as Fivetran but delivers 15x faster performance at 3x lower cost, making it the ideal choice for modern data pipelines. While Fivetran is widely used, it lacks built-in streaming capabilities and relies on batch processes, which can introduce latency. Its unpredictable pricing, especially for high data volumes, has driven many users to seek alternatives like Streamkap.

With features such as built-in monitoring and alerting, CDC-ready connectors, and a Kafka-based architecture, Streamkap ensures seamless data processing. It serves as a true drop-in replacement for traditional batch ETL tools, including Airbyte. Although Airbyte markets itself as an open-source platform, some aspects of its ecosystem deviate from "true" open-source principles—for example, its data normalization at rest requires paid services.

Why Choose Streamkap?

• Efficiency and Speed: Achieve sub-second latency, ensuring access to the freshest data.
• Cost-Effective: Up to 3x cheaper than Fivetran, with predictable pricing and effortless scaling.
• Ease of Use: Create streaming pipelines in minutes with a no-code setup, making the shift from batch to real-time seamless.

‍Sign up for Streamkap today.

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