Redpanda Connect for Cloud

Starting today, Redpanda Connect is open for business with limited availability for our Bring Your Own Cloud (BYOC) deployments. Plus, the free beta of Redpanda Connect for serverless environments in the cloud!

With 100+ out-of-the-box connectors, Redpanda Connect is a powerful and flexible solution for connecting, transforming, and processing data across your entire streaming architecture. It features a brand new Kafka Migration tool and a growing ecosystem of stream processing components, including AI inference and generated embeddings for seamless, cloud-native data workflows.

Introducing Redpanda Connect to Redpanda BYOC and Serverless is a significant step in our mission to simplify real-time data processing. With Redpanda Connect, developers and enterprises can focus on building innovative and impactful solutions instead of managing the intricacies of complex distributed streaming platforms and data pipelines.

In this post, we demonstrate how Redpanda Connect simplifies the complexities of real-time data processing by ensuring your data workflows are seamless, efficient, and capable of adapting to your evolving requirements.

What is Redpanda Connect?

Redpanda Connect is a lightweight yet powerful integration framework written in Golang. Its out-of-the-box components enable instant deployment and execution via Redpanda Cloud, so you can get up and running in no time. Redpanda Connect is designed to handle even the most demanding data integration tasks, meaning you don’t have to sacrifice power in exchange for simplicity.

Benefits of Redpanda Connect include:

• Unified data integration: Redpanda Connect supports 100+ new connectors, allowing seamless integration with various data sources, including databases, cloud storage, streaming platforms, and even LLMs for building AI agents. This unified framework ensures that all your data flows are managed consistently and efficiently.
• Low-latency data processing: With 40 built-in stream processors, Redpanda Connect enables real-time data processing and transformation, ensuring your applications can respond instantly to events as they happen.
• Scalability: Whether deployed in the cloud or a serverless environment, Redpanda Connect scales effortlessly as you go. It can handle everything from small-scale integrations to large, complex data pipelines, making it a versatile tool for businesses of all sizes.
• Developer-first: Redpanda Connect’s declarative approach, using YAML configurations, is designed to be intuitive and easy to use. This simplicity allows developers to swiftly integrate Redpanda Connect into their existing workflows without a steep learning curve.

Build blazing-fast streaming pipelines

One of the most common challenges in modern data pipelines is consolidating data from various sources, especially in multi-cloud environments. Each source might have its own format, protocol, or even data measurement units.

To better understand how Redpanda Connect can make your job easier, we’ll cover three common scenarios.

1. Streamlining data integration from multi-cloud sources

Ensuring a unified and normalized data stream can be difficult when data is collected from both AWS SQS and an SFTP server hosted on Google Cloud. Different protocols, security requirements, and data formats introduce complexity.

Redpanda Connect simplifies multi-cloud data convergence. It lets you ingest data from disparate cloud sources and transform it into a unified stream. To see the magic in action, check out this quick demo. (If you want to do it yourself, all the code is in this GitHub repo.)

2. Low latency data to long-term storage

Another challenge is efficiently storing large volumes of streaming data for long-term analysis. For example, data needs to be continuously ingested, stored, and then analyzed in real time or at scale to track user activity for a music streaming service.

Traditional approaches can require complex configuration of storage systems and may not scale well without significant overhead. Redpanda Connect makes it easy to stream real-time data to scalable cloud storage solutions, such as Amazon S3. By defining a simple configuration, Redpanda Connect ensures data can be batched and transferred seamlessly to S3.

Here’s a quick demo and its corresponding GitHub repo.

3. Enhancing AI workflows with real-time data processing

For organizations leveraging AI, the challenge often lies in efficiently processing and transforming unstructured data into usable formats for AI models. Take the legal field, for example, where documents like court case files must be summarized, tagged, and converted into embeddings before you allow similarity or semantic search and retrieval.

Redpanda Connect integrates with OpenAI and other AI services to enable real-time AI-powered data processing. It consumes unstructured data and transforms it via embedding models to generate embeddings for fast, scalable AI workflows.

Here’s the demo and its corresponding GitHub repo.

Try Redpanda Connect for Cloud

Whether you’re running Redpanda BYOC on AWS, GCP, or Azure, Redpanda Connect lets you leverage the inherent flexibility in your cloud infrastructure to scale your data integration and processing needs dynamically.

Ready to dive in with Redpanda Connect on Cloud? Join our Redpanda Connect Livestream on September 26th for a firsthand tour of how it all works. In the meantime, sign up for Redpanda Cloud to take Redpanda Connect for a spin!

‍