Best Stream Analytics Software
Stream analytics software monitors and analyzes integration data in real time. These tools allow users to analyze data in transfer between applications or through APIs. This allows users to analyze both historical events and what’s happening at that exact time. Companies use stream analytics to better understand what data users are retrieving and to monitor endpoints. Users can analyze data being transferred amongst devices like internet of things (IoT) endpoints, such as smart cars, machinery, or home appliances. Many tools contain data visualization components to present and map connected devices. Other common features include competitive analysis and big data analytics. There is some crossover between stream analytics and big data analytics tools, but big data analytics tools aren’t necessarily used specifically to provide real-time information.
To qualify for inclusion in the Stream Analytics category, a product must:
Featured Stream Analytics Software At A Glance
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Operations Hub connects, cleanses, and automates customer data across the HubSpot CRM, providing operations teams with tools to maintain data quality, ensure system integration, and streamline busines
786,179 Twitter followers
Amazon OpenSearch Service securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like application monitoring, log analytics, observability, and webs
2,220,162 Twitter followers
Evam is a leading technology company that provides comprehensive solutions and products for real-time, cross-channel customer experiences. Our cutting-edge continuous intelligence technology leverages
Ingest event streams from anywhere, at any scale, for simple, reliable, real-time stream analytics
31,775,247 Twitter followers
Amazon Kinesis Data Streams is a massively scalable, durable, and low-cost streaming data service. Kinesis Data Streams can continuously capture gigabytes of data per second from hundreds of thousands
2,220,162 Twitter followers
The Tealium Customer Data Hub (CDH) is a sophisticated customer data management solution designed to facilitate real-time connections among customer engagement data across an organization. By integrat
Tealium Customer Data Hub is a platform that unifies customer data from multiple sources in real time, enabling segmentation and data activation across various tools. Reviewers frequently mention the platform's extensive integration capabilities, real-time data processing, and flexibility in building customer profiles as standout features. Users experienced a steep learning curve, complexity in initial setup, and occasional performance issues when handling large volumes of data.
4,743 Twitter followers
The Elastic Stack, commonly known as the ELK Stack, is a comprehensive suite of open-source tools designed for ingesting, storing, analyzing, and visualizing data in real-time. It comprises Elasticsea
64,417 Twitter followers
IBM StreamSets is a robust streaming data integration tool for hybrid, multi-cloud environments that enables real-time decision making. It allows ingestion and in-flight transformation of structured,
708,744 Twitter followers
Amazon Kinesis is a suite of managed services designed to collect, process, and analyze real-time streaming data at scale. It enables organizations to handle large volumes of data from diverse sources
2,220,162 Twitter followers
Amazon Managed Streaming for Apache Kafka (Amazon MSK) is an AWS streaming data service that manages Apache Kafka infrastructure and operations, making it easy for developers and DevOps managers to ru
2,220,162 Twitter followers
Azure IoT Central brings the Internet of your things to life by connecting your devices, analyzing previously- untapped data, and integrate business systems and transforming your company when you unco
13,088,482 Twitter followers
Cloud-native service for data in motion built by the original creators of Apache Kafka® Today’s consumers have the world at their fingertips and hold an unforgiving expectation for end-to-end real-ti
43,602 Twitter followers
Azure Event Hubs is a scalable data streaming platform and event ingestion service, capable of receiving and processing millions of events per second. Event Hubs processes and stores events, data, or
13,088,482 Twitter followers
Spotfire® is a visual data science platform designed to help organizations address complex, industry-specific challenges by effectively utilizing data. This solution offers a range of flexible packagi
Apache Kafka is an open-source distributed event streaming platform developed by the Apache Software Foundation. It is designed to handle real-time data feeds with high throughput and low latency, mak
66,058 Twitter followers
