SAN FRANCISCO--(BUSINESS WIRE)--Redpanda, the all-in-one streaming data platform, announced new bolstered AI integrations available within Redpanda Connect. It now offers more than 100 cloud-based managed connectors and stream processors, including connectors for AI services like OpenAI, Vertex AI, and AWS Bedrock, a Sovereign AI connector for Ollama, and connectors for vector databases like Pinecone and Qdrant. Redpanda Connect also now offers GPU clusters on GCP for high-performance AI workloads. The new AI connectors are available on all major cloud providers: AWS, GCP, and Microsoft Azure.
“Redpanda has consistently exceeded our expectations,” said Arya Ketan, Senior Principal Engineer at ShareChat. “As a long-time user of Redpanda Connect from before it was acquired earlier this year, we are incredibly excited about the new capabilities and value Redpanda has added in such a short time. Redpanda was already saving us millions of USD annually, but bringing these connectors to the cloud will save our data teams significantly in time and resources by ensuring an instant and seamless experience.”
This launch also unveiled the vision for a single unified engine called Redpanda R1, a multimodal streaming engine with flexible topics that can meet the diverse latency, storage, durability, and security access requirements of today’s streaming data applications.
“The data streaming market is rapidly evolving to support the diversity of data-intensive applications, especially connecting modern AI systems with cloud-native tools,” said Alex Gallego, founder and CEO of Redpanda. “We are committed to helping developers simplify how they build real-time applications by unveiling our vision for Redpanda R1. Unlike complex disjointed alternatives, we want developers to experience a unified product with topic-level flexibility that can deliver any latency, durability, or connectivity requirement in a single engine.”
In addition to the launch of Redpanda Connect on the cloud, Redpanda announced:
- Cloud Topics, a new type of topic that can be optimized for the greater needs of any workload: latency, cost, or performance. They run in the same Redpanda cluster alongside other types of topics.
- Apache Iceberg Topics, a new type of topic that makes streaming data instantly available as Iceberg tables in data lakes and data lakehouse catalogs, and easily analyzed using standard cloud-based SQL engines.
- Kafka Migrator for Redpanda, a new tool that migrates schemas, metadata, and access configurations from Kafka clusters to Redpanda in a single command. It also gives simplified observability and error reporting for swift troubleshooting.
Read about Redpanda’s latest launches in detail on the Redpanda website.
About Redpanda
Redpanda is the streaming data platform for developers. API-compatible with Apache Kafka, Redpanda introduces a breakthrough architecture and disruptive capabilities that make it an easy, fast, scalable, and cost-effective engine of record for both real-time and historical enterprise data. Innovators like Lacework, Jump Trading, Vodafone, Moody’s, Hotels Network and Alpaca rely on Redpanda to process hundreds of terabytes of data a day. Backed by premier venture investors Lightspeed, GV and Haystack VC, Redpanda is a diverse, people-first organization with teams distributed around the globe. To learn more, visit our website at redpanda.com and follow us on X (formerly Twitter) at @redpandadata.
