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Introduction

Keen is a fully managed event streaming platform designed for developers to build event-driven applications without the complexity of managing streaming infrastructure. It leverages Apache Kafka, Storm, and Cassandra to provide a scalable and reliable solution for collecting, storing, querying, and visualizing event data.

Key Features:

  • Event Streaming: Collect real-time data from any source using the Streams API, with capabilities for enriching and transforming event attributes.
  • Persistent Storage: Securely store event data with multi-layer AES encryption.
  • Real-Time Analytics: Analyze stored data with a powerful Compute API for running queries and extracting insights.
  • Embedded Visualizations: Deploy white-labeled, in-app dashboards using the Data Viz Library.

Use Cases:

  • Product Analytics: Gain insights into product usage and user interactions.
  • Customer-Facing Metrics: Deliver in-product analytics to users with minimal development effort.
  • Business Operations: Integrate event data across sales, marketing, and finance tools.
  • Events-Based Billing: Implement personalized billing based on event data.
  • B2B SaaS: Build SaaS business models around event data.
  • Connected Devices/IoT: Stream real-time data from connected devices.

Alternatives

  • Confluent Cloud

    Offers a fully managed Apache Kafka service, providing a robust platform for real-time event streaming and data integration.

  • Amazon Kinesis

    Provides a suite of services for real-time data streaming, processing, and analytics, similar to Keen's event-driven approach.

  • Google Cloud Pub/Sub

    A scalable, asynchronous messaging service that enables real-time event ingestion and delivery for various analytics pipelines.

  • Azure Event Hubs

    A highly scalable data streaming platform that can ingest millions of events per second from connected devices and applications for real-time processing.

  • Databricks

    A unified data and AI platform that supports real-time streaming with Apache Spark Structured Streaming and Delta Live Tables for analytics and visualization.

  • Snowflake

    A cloud data platform that, with features like Snowpipe and Streams, enables real-time data ingestion and powerful analytics on streaming data.

  • Apache Flink

    An open-source stream processing framework designed for high-throughput, low-latency real-time analytics on event streams.

  • Redpanda

    A Kafka API-compatible streaming data platform that offers high performance and simplified operations for real-time event processing.

  • Mixpanel

    A product analytics platform focused on tracking user interactions and providing real-time insights and visualizations into user behavior.

  • Tinybird

    A real-time data platform for developers that allows building data products and APIs on top of streaming data with fast query performance.

FAQ

User Reviews

4.4/5.0
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Pricing

Pricing Model: Subscription, Usage-based

Team

For small teams that need access to core features and moderate monthly usage limits.

$149/month
monthly

Team

For small teams that need access to core features and moderate monthly usage limits. Save 10% with annual plans.

$134/month
yearly

Business

For businesses that need advanced features and high monthly usage limits.

$699/month
monthly

Business

For businesses that need advanced features and high monthly usage limits. Save 10% with annual plans.

$629/month
yearly

Custom

Plan limits aren’t quite right? Chat with our team to create a custom plan that fits your event stream processing needs. Custom usage limits, enterprise support, integration services and more.

Contact for pricing
annual

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