Best Real-Time Data Processing Tools
Ranking tools based on processing speed, scalability, ease of integration, community support, and cost-effectiveness.
Top Ranked
Apache Storm is a distributed real-time computation system that processes data streams in parallel. It ensures high availability and low latency with fault-tolerant processing of tuples. Suitable for...
Apache Flink is an open-source stream processing framework that supports real-time data processing and batch processing. It offers high throughput, low latency, and fault tolerance. Suitable for organ...
Kafka Streams is a client library that enables stream processing on Apache Kafka. It provides high-performance, fault-tolerant stream processing capabilities with easy integration into existing applic...
Google Cloud Dataflow is a fully managed service for stream and batch processing. It offers serverless, scalable, and cost-effective solutions with built-in fault tolerance and automatic scaling. Suit...
Amazon Kinesis is a managed service for real-time streaming data. It supports serverless, scalable, and cost-effective stream processing with built-in fault tolerance and automatic scaling. Ideal for...
Apache Spark Streaming is a component of Apache Spark that enables real-time stream processing. It supports scalable, fault-tolerant, and high-performance data processing with easy integration into ex...
Apache Samza is a distributed stream processing framework that supports fault-tolerant, scalable, and low-latency data processing. It integrates well with Apache Hadoop ecosystem tools and offers flex...
Azure Stream Analytics is a serverless, fully managed service for real-time data processing. It supports scalable and cost-effective stream processing with built-in fault tolerance and automatic scali...
IBM Streams is a platform for real-time data processing and complex event processing. It supports scalable, fault-tolerant, and high-performance stream processing with built-in analytics capabilities....
Confluent Platform is a distribution of Apache Kafka that includes additional tools for stream processing. It supports scalable, fault-tolerant, and high-performance data processing with built-in anal...
