Streamdata.io Alternatives & Competitors

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

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

TradingJournal is a modern trade tracking app that helps traders understand their performance, reduce emotional mistakes, and optimize strategies. With risk analysis, pattern detection, and visual insights. Free and ad-free.

Key TradingJournal features:

Smart Trade Insights Risk Management Dashboard Multi-Asset Support Interactive Charts

Try for free free

OpenZoo is an open-source, distributed, stream and batch processing framework.

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

An easy to use, powerful, and reliable system to process and distribute data.

Key Apache NiFi features:

User-Friendly Interface Extensive Connector Support Real-time Data Processing Scalability

Open Source

SQLstream, Big Data stream processing software, powering smart services for the Internet of Things from streaming machine and sensor data.

Key SQLstream features:

Real-time Data Processing SQL-based Interface Scalability Integration with Existing Systems

logstash is a tool for managing events and logs.

Key logstash features:

Flexible Data Collection Real-Time Processing Ecosystem Integration Built-In Plugins

Start tracking your visitors in 1 minute!

Key Histats features:

Real-Time Analytics User-Friendly Interface Detailed Reporting Customizable Widgets

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

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

alooma brings together a reliable data pipeline, an easy data transformation interface, and a powerful stream processor.

Key alooma features:

Real-Time Data Integration Scalability Supports Multiple Data Sources User-Friendly Interface

Azure Stream Analytics offers real-time stream processing in the cloud.

Key Azure Stream Analytics features:

Real-time Data Processing Ease of Use Scalability Integration with Azure Ecosystem

Apache Beam provides an advanced unified programming model to implement batch and streaming data processing jobs.

Key Apache Beam features:

Unified Model Portability Rich SDKs Windowing and Triggering

Open Source