Imply partners with Confluent for real-time streaming analytics at scale
Praveen Rangnath of Imply
Imply, a company founded by the original creators of Apache Druid, has joined the Connect with Confluent partner programme. Through native interfaces with Confluent Cloud, this initiative aims to help organisations in accelerating the development of real-time applications.
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.
Organisations now have a simplified experience for analysing Kafka streams via Druid, the real-time analytics database built for streaming 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,” says Praveen Rangnath, chief marketing officer, Imply. “The seamless integration of Imply Polaris with Confluent Cloud empowers organisations 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 optimised business operations,” says John Broad, vice president, partners and 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.”
Connect with Confluent gives organisations direct access to Confluent Cloud, the cloud-native and complete data streaming platform that processes more than an exabyte of data per year. In addition, the programme boosts 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,” says 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.”
Together, Confluent and Imply provide a cloud-native platform designed for real-time analytics applications. The integration provides:
- Effortless scalability: Imply Polaris 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 organisations the opportunity to capitalise 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.
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