Redpanda ↗

Documentation Index#

Fetch the complete documentation index at: https://docs.pinecone.io/llms.txt Use this file to discover all available pages before exploring further.

export const PrimarySecondaryCTA = ({primaryLabel, primaryHref, primaryTarget, secondaryLabel, secondaryHref, secondaryTarget}) => {primaryLabel && primaryHref &&

  {primaryLabel}

<svg width="24" height="24" viewBox="0 0 24 24" fill="none" xmlns="http://www.w3.org/2000/svg">
  <path d="M9.70492 6L8.29492 7.41L12.8749 12L8.29492 16.59L9.70492 18L15.7049 12L9.70492 6Z" fill="white" />
</svg>

{secondaryLabel && secondaryHref &&

    {secondaryLabel}
  
</a>

}

;

Redpanda Connect is a declarative data streaming service that solves a wide range of data engineering problems with simple, chained, stateless processing steps. It implements transaction based resiliency with back pressure, so when connecting to at-least-once sources and sinks, it’s able to guarantee at-least-once delivery without needing to persist messages during transit.

It’s simple to deploy, comes with a wide range of connectors, and is totally data agnostic, making it easy to drop into your existing infrastructure. Redpanda Connect has functionality that overlaps with integration frameworks, log aggregators and ETL workflow engines, and can therefore be used to complement these traditional data engineering tools or act as a simpler alternative.

The Pinecone connector for Redpanda provides a production-ready integration from many existing data sources, all in a few lines of YAML.

<PrimarySecondaryCTA primaryHref={“https://docs.redpanda.com/redpanda-connect/components/outputs/pinecone/"} primaryLabel={“Get started”} primaryTarget={"_blank”} />