Imply Joins the Connect with Confluent Partner Program

Imply, the company founded by the original creators of Apache Druid, today announced it has joined the Connect with Confluent partner program, an initiative designed to help organizations accelerate the development of real-time applications through native integrations with Confluent Cloud. This partnership brings together Imply and Confluent’s cloud-managed services for Druid and Apache Kafka, respectively, offering developers:

  • Real-time analytics on streaming data of any scale: Stream millions of events per second from Confluent Cloud to Imply Polaris, the cloud database service for Druid, with subsecond latency—making data instantly available for real-time analytics.
  • A connector-free experience: Ingest data from Confluent Cloud directly into Polaris without installing and managing a connector.
  • Cloud-native, fully-managed real-time architecture: Build real-time applications on Kafka and Druid without the production risk and infrastructure management, while accelerating time to value for real-time analytics use cases.

Organizations now have a simplified experience for analyzing Kafka streams via Druid, the real-time analytics database built for streaming data, as Imply and Confluent together have made it easier to power mission-critical and customer-facing applications with real-time data. These applications are used in a wide range of industries for a variety of use cases, including security and fraud analytics, product analytics, IoT/telemetry analytics, and application observability.

Introducing the Connect with Confluent program

Connect with Confluent gives organizations direct access to Confluent Cloud, the cloud-native and complete data streaming platform that processes more than an exabyte of data per year. It’s now easier for organizations to stream data from anywhere to Druid with a fully managed Kafka service that spans hybrid, multi-cloud, and on-premises environments. In addition, the program supercharges partners’ go-to-market efforts with access to Confluent engineering, sales, and marketing resources. This helps ensure customer success at every stage from onboarding through technical support.

A partnership built from open source

Imply, like Confluent, is founded on a popular open-source technology. Apache Druid is commonly deployed alongside Apache Kafka, the core technology behind Confluent, in leading companies where real-time analytics are a crucial aspect of product offerings, operations, and customer experiences. Today, many of the world’s industry-leading and digital-native organizations—including Netflix, Salesforce,  Citrix, and even Confluent itself—use Kafka and Druid together to gain real-time insights and deliver cutting-edge products.

Together, Confluent and Imply provide a comprehensive, cloud-native platform designed for real-time analytics applications. The integration provides:

  • Effortless scalability: Imply Polaris easily scales data ingestion right alongside Confluent Cloud to jointly handle millions of events per second.
  • A fully-managed experience: Imply Polaris and Confluent Cloud automate key aspects of infrastructure management, ranging from setup to backups and upgrades, providing an effortless, reliable service.
  • Reliability and security: Imply Polaris and Confluent Cloud equip teams with a reliable platform for real-time applications while upholding strict security and compliance requirements.

This collaboration builds upon open-source technologies to empower developers with a cloud-native, real-time architecture purpose-built for analytics on streaming data. Polaris’ native integration with Confluent Cloud gives organizations the opportunity to capitalize on the synergies between Kafka and Druid without the operational complexities and production risk associated with self-managing open-source technologies, accelerating time-to-value for real-time use cases.

Learn More: 

  • Visit the Imply website to learn about the integration with Confluent Cloud
  • Sign up for a free trial of Imply Polaris
  • Read this blog on how to ingest data from Confluent Cloud in Polaris
  • Watch this video to learn what Druid is used for

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