Eventador Fully Managed Apache Kafka Alternatives & Competitors

Spark Streaming makes it easy to build scalable and fault-tolerant streaming applications.

Key Spark Streaming features:

Scalability Integration Fault Tolerance Ease of Use

Amazon Kinesis services make it easy to work with real-time streaming data in the AWS cloud.

Key Amazon Kinesis features:

Real-time data processing Scalability Fully managed service Integration with AWS ecosystem

Turn SQL Data into Decisions. Build professional dashboards and data visualizations without technical expertise. Easily embed analytics anywhere, receive automated alerts, and discover AI-powered insights all through a straightforward interface.

Key Draxlr features:

Dashboards and Visualizations Slack Notifications Email notifications Query Builder

Try for free paid Free Trial $59.0 / Monthly

Confluent offers a real-time data platform built around Apache Kafka.

Key Confluent features:

Scalability Real-Time Data Processing Comprehensive Ecosystem Ease of Use

Open Source

Leo enables teams to innovate faster by providing visibility and control for data streams.

Google Cloud Dataflow is a fully-managed cloud service and programming model for batch and streaming big data processing.

Key Google Cloud Dataflow features:

Scalability Fully Managed Unified Programming Model Integration

Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

Key Apache Flink features:

Real-time Stream Processing Event Time Processing State Management Fault Tolerance

Open Source