Best Streaming Analytics Platforms for MongoDB
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Compare the Top Streaming Analytics Platforms that integrate with MongoDB as of June 2025
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This a list of Streaming Analytics platforms that integrate with MongoDB. Use the filters on the left to add additional filters for products that have integrations with MongoDB. View the products that work with MongoDB in the table below.
What are Streaming Analytics Platforms for MongoDB?
Streaming analytics platforms are software solutions that enable real-time processing and analysis of data as it is generated or streamed from various sources such as IoT devices, sensors, social media, and transactional systems. These platforms allow businesses to gain immediate insights from continuous data streams, enabling them to make faster decisions, detect anomalies, and optimize operations in real-time. Key features of streaming analytics platforms include data ingestion, real-time event processing, pattern recognition, and advanced analytics like predictive modeling and machine learning integration. They are commonly used in applications such as fraud detection, customer behavior analysis, network monitoring, and supply chain optimization. Compare and read user reviews of the best Streaming Analytics platforms for MongoDB currently available using the table below. This list is updated regularly.
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1
IBM StreamSets
IBM
IBM® StreamSets enables users to create and manage smart streaming data pipelines through an intuitive graphical interface, facilitating seamless data integration across hybrid and multicloud environments. This is why leading global companies rely on IBM StreamSets to support millions of data pipelines for modern analytics, intelligent applications and hybrid integration. Decrease data staleness and enable real-time data at scale—handling millions of records of data, across thousands of pipelines within seconds. Insulate data pipelines from change and unexpected shifts with drag-and-drop, prebuilt processors designed to automatically identify and adapt to data drift. Create streaming pipelines to ingest structured, semistructured or unstructured data and deliver it to a wide range of destinations.Starting Price: $1000 per month -
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Kapacitor
InfluxData
Kapacitor is a native data processing engine for InfluxDB 1.x and is an integrated component in the InfluxDB 2.0 platform. Kapacitor can process both stream and batch data from InfluxDB, acting on this data in real-time via its programming language TICKscript. Today’s modern applications require more than just dashboarding and operator alerts—they need the ability to trigger actions. Kapacitor’s alerting system follows a publish-subscribe design pattern. Alerts are published to topics and handlers subscribe to a topic. This pub/sub model and the ability for these to call User Defined Functions make Kapacitor very flexible to act as the control plane in your environment, performing tasks like auto-scaling, stock reordering, and IoT device control. Kapacitor provides a simple plugin architecture, or interface, that allows it to integrate with any anomaly detection engine.Starting Price: $0.002 per GB per hour -
3
Fluentd
Fluentd Project
A single, unified logging layer is key to make log data accessible and usable. However, existing tools fall short: legacy tools are not built for new cloud APIs and microservice-oriented architecture in mind and are not innovating quickly enough. Fluentd, created by Treasure Data, solves the challenges of building a unified logging layer with a modular architecture, an extensible plugin model, and a performance optimized engine. In addition to these features, Fluentd Enterprise addresses Enterprise requirements such as Trusted Packaging. Security. Certified Enterprise Connectors, Management / Monitoring, and Enterprise SLA-Based Support, Assurance, and Enterprise Consulting Services -
4
GigaSpaces
GigaSpaces
Smart DIH is an operational data hub that powers real-time modern applications. It unleashes the power of customers’ data by transforming data silos into assets, turning organizations into data-driven enterprises. Smart DIH consolidates data from multiple heterogeneous systems into a highly performant data layer. Low code tools empower data professionals to deliver data microservices in hours, shortening developing cycles and ensuring data consistency across all digital channels. XAP Skyline is a cloud-native, in memory data grid (IMDG) and developer framework designed for mission critical, cloud-native apps. XAP Skyline delivers maximal throughput, microsecond latency and scale, while maintaining transactional consistency. It provides extreme performance, significantly reducing data access time, which is crucial for real-time decisioning, and transactional applications. XAP Skyline is used in financial services, retail, and other industries where speed and scalability are critical.
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