Best Firehose.io Alternatives & Competitors in 2024

Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.

Key Firebase features:

Real-time Database Easy Integration Scalability Authentication Services

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

Flagsmith lets you manage feature flags and remote config across web, mobile and server side applications. Deliver true Continuous Integration. Get builds out faster. Control who has access to new features. We're Open Source.

Key Flagsmith features:

Feature Flags Remote Config A/B/X Testing & Optimization Organization Management

Try for free Open Source freemium

Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.

Key Kafka features:

High Throughput Scalability Fault Tolerance Durability

Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

Key Apache Spark features:

Speed Ease of Use Advanced Analytics Scalability

Open Source

Amazon Simple Queue Service is a fully managed message queuing service.

Key Amazon SQS features:

Scalability Reliability Flexibility Ease of Use

Open Source

Amazon Kinesis Firehose can capture, transform, and load streaming data into AWS.

Key Amazon Kinesis Firehose features:

Managed Service Real-time Processing Seamless Integration Automatic Scaling

SignalR is a server-side software system designed for writing scalable Internet applications, notably web servers.

Key SignalR features:

Real-time communication Simplified development Automatic Reconnection Cross-platform support

Apache Storm is a free and open source distributed realtime computation system.

Key Apache Storm features:

Real-Time Processing Scalability Fault Tolerance Broad Language Support

Open Source

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

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