Best Streaming Analytics Platforms for Oracle Cloud Infrastructure Object Storage

Compare the Top Streaming Analytics Platforms that integrate with Oracle Cloud Infrastructure Object Storage as of December 2025

This a list of Streaming Analytics platforms that integrate with Oracle Cloud Infrastructure Object Storage. Use the filters on the left to add additional filters for products that have integrations with Oracle Cloud Infrastructure Object Storage. View the products that work with Oracle Cloud Infrastructure Object Storage in the table below.

What are Streaming Analytics Platforms for Oracle Cloud Infrastructure Object Storage?

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 Oracle Cloud Infrastructure Object Storage currently available using the table below. This list is updated regularly.

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    Kinetica

    Kinetica

    Kinetica

    A scalable cloud database for real-time analysis on large and streaming datasets. Kinetica is designed to harness modern vectorized processors to be orders of magnitude faster and more efficient for real-time spatial and temporal workloads. Track and gain intelligence from billions of moving objects in real-time. Vectorization unlocks new levels of performance for analytics on spatial and time series data at scale. Ingest and query at the same time to act on real-time events. Kinetica's lockless architecture and distributed ingestion ensures data is available to query as soon as it lands. Vectorized processing enables you to do more with less. More power allows for simpler data structures, which lead to lower storage costs, more flexibility and less time engineering your data. Vectorized processing opens the door to amazingly fast analytics and detailed visualization of moving objects at scale.
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