Imply teams up with Confluent to make building real-time analytics on streaming data easier with a cutting-edge developer experience created from open-source technologies
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.
“Imply’s partnership with Confluent is anchored in the transformative value of data in motion and in the commonality of delivering cloud-native services based on widely deployed open-source technologies,” said Praveen Rangnath, Chief Marketing Officer, Imply. “The seamless integration of Imply Polaris with Confluent Cloud empowers organizations to easily unlock the full potential of their streaming data with real-time analytics—thereby extending the value of their data-in-motion with analytics-in-motion.”
“Confluent Cloud with Imply Polaris is rapidly becoming the architecture of choice for injecting analytics into real-time customer experiences and optimized business operations,” said John Broad, Vice President, Partners & Alliances, Imply. “By partnering with Confluent and its robust ecosystem of systems integrators and technology partners, we enhance the durability and agility of analytics solutions while bringing innovative features, like schema auto-discovery for streaming data, to our joint customers.”
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.
“Data streaming is now a critical business requirement as companies shift toward a digital-first approach to everything,” said Paul Mac Farland, Vice President, Partner and Innovation Ecosystem, Confluent. “However, many companies don’t have the resources needed to successfully bring a complete set of data streaming capabilities to their applications and end users. Connect with Confluent solves this problem, helping Confluent technology partners accelerate their customers’ data-driven ambitions so they can win in the modern digital era.”
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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