Best Streaming Analytics Platforms for Oracle Cloud Infrastructure Object Storage

Find and compare the best Streaming Analytics platforms for Oracle Cloud Infrastructure Object Storage in 2025

Use the comparison tool below to compare the top Streaming Analytics platforms for Oracle Cloud Infrastructure Object Storage on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

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    Kinetica Reviews
    A cloud database that can scale to handle large streaming data sets. Kinetica harnesses modern vectorized processors to perform orders of magnitude faster for real-time spatial or temporal workloads. In real-time, track and gain intelligence from billions upon billions of moving objects. Vectorization unlocks new levels in performance for analytics on spatial or time series data at large scale. You can query and ingest simultaneously to take action on real-time events. Kinetica's lockless architecture allows for distributed ingestion, which means data is always available to be accessed as soon as it arrives. Vectorized processing allows you to do more with fewer resources. More power means simpler data structures which can be stored more efficiently, which in turn allows you to spend less time engineering your data. Vectorized processing allows for incredibly fast analytics and detailed visualizations of moving objects at large scale.
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