Rockset

Preview：

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Introduce：

Rockset is a database platform that provides efficient search and real-time analysis of large-scale data. It supports indexing of vector, text, geospatial, and JSON data, enables hybrid search architectures, and measures end-to-end latency through streaming data intake and high QPS workloads. Key benefits of Rockset include real-time indexing, millisecond SQL queries, rapid development of new features, reduced compute and storage costs, and the flexibility to manage shards, indexes, or clusters without ETL, de-normalization.
Rockset
Stakeholders:
Rockset is suitable for enterprise users who need to handle large amounts of data and require real-time analysis and search. Whether it’s game analytics, logistics tracking, anomaly detection or real-time reporting, Rockset offers powerful technical support to help companies quickly build and deploy relevant capabilities, saving development time and reducing operational costs.
Usage Scenario Examples:

Gaming Analytics: Game analytics such as telemetry, matching, anti-cheating, etc
Logistics Tracking, such as ETA forecast, route optimization, inventory analysis, etc
Anomaly Detection: Anomaly detection, such as fraud detection, spam fighting, and threat detection
Real-time Reliorting: Real-time reporting, such as user-facing search and analytics, real-time dashboards, monitoring, and alerts

The features of the tool:

Indexing of support vectors, text, geospatial, and JSON data
Real-time index, built-in connector support Kafka, MongoDB, DynamoDB, S3, OlienAI and more
Fast search, filtering, aggregation, join, and vector search using standard SQL
No ETL, no normalization, no shards, indexes, or clusters to manage
Separation of computing and storage and separation of computing and computing improve the scaling efficiency of cloud services
For search, real-time analytics, and AI applications such as recommendation systems, personalization, dynamic pricing, and more

Steps for Use: