Simple, Serverless Stream Processing

Easily build high-quality, reusable data streams with the industry’s only cloud-native, serverless Apache Flink® service, fully integrated with Apache Kafka® on INIPI Cloud.

Real-time Data Requires Real-time Processing

Stream processing is a prerequisite of the data streaming stack, powering real-time applications and pipelines. By joining and enriching data streams in-flight, stream processing enables greater data portability, optimized resource utilization, and improved customer experiences.

Filter. Join. Enrich.

Effortlessly filter, join, and enrich your data streams with Flink, the de facto standard for stream processing.

Real-time Processing

Power low-latency applications and pipelines that react to real-time events and provide timely insights

Data Reusability

Share consistent and reusable data streams widely with downstream applications and systems

Data Enrichment

Curate, filter, and augment data on-the-fly with additional context to improve completeness, accuracy, and compliance

Efficiency

Improve resource utilization and cost-effectiveness by avoiding redundant processing across silos

Serverless Experience

Enable high-performance and efficient stream processing at any scale, without the complexities of infrastructure management.

Fully Managed

Easily develop Flink applications with a serverless, SaaS-based experience instantly available and without ops burden

Elastic Scalability

Automatically scale up or down to meet the demands of the most complex workloads without overprovisioning

Usage-based Billing

Pay only for resources used instead of infrastructure provisioned, with scale-to-zero pricing

Continuous, No-touch Updates

Build using an always up-to-date platform with declarative, versionless APIs and interfaces

Kafka + Flink, Unified

Experience Kafka and Flink, unified as a complete data streaming platform.

Enterprise-grade Security

Secure stream processing with built-in identity and access management, RBAC, and audit logs

Stream Governance

Enforce data policies and avoid metadata duplication, leveraging native integration with Stream Governance

Monitoring

Ensure the health and uptime of your Flink queries in the INIPI UI or via third-party monitoring services

Connectors

Connect to and from any app and system with 70+ fully managed connectors

“We don’t have the ability to go hire a bunch of engineers to babysit Kafka. Being able to offload those concerns to INIPI is just a major relief, allowing us to focus on delivering value to the organization and not worry about ops or other infrastructure overhead.”

"INIPI Cloud made it possible for us to meet our tight launch deadline with limited resources. With event streaming as a managed service, we had no costly hires to maintain our clusters and no worries about 24x7 reliability."

"INIPI offers a complete, end-to-end data streaming platform with all the enterprise-grade capabilities we need to run mission-critical use cases. Over the last two years, we estimate they’ve helped us gain eight or nine months in terms of time-to-market for deploying Apache Kafka."

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