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Rockset

Efficient hybrid search and real-time analytics database

#search
#analyze
#database
#real time
#Serverless
Rockset

Product Details

Rockset is a database platform that provides efficient search and real-time analysis for large-scale data. It supports indexing of vector, text, geospatial and JSON data, enables hybrid search architectures, and measures end-to-end latency with streaming data ingestion and high QPS workloads. Key benefits of Rockset include real-time indexing, millisecond-level SQL queries, rapid development of new features, reduced compute and storage costs, and the flexibility to manage shards, indexes, or clusters without ETL, denormalization, or clustering.

Main Features

1
Supports indexing of vector, text, geospatial and JSON data
2
Real-time indexing, built-in connector supports Kafka, MongoDB, DynamoDB, S3, OpenAI, etc.
3
Fast searching, filtering, aggregation, joins and vector searches using standard SQL
4
No ETL, denormalization, no sharding, indexing or clustering to manage
5
Separation of computing and storage and computing to improve the expansion efficiency of cloud services
6
Suitable for search, real-time analysis and AI applications, such as recommendation systems, personalization, dynamic pricing, etc.

How to Use

1
1. Register and log in to the Rockset platform
2
2. Create a new dataset and select the data source
3
3. Configure data indexing rules and search parameters
4
4. Use SQL for data query and analysis
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5. Use Rockset’s APIs to develop custom search and analysis functions
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6. Monitor query performance and adjust configuration as needed
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7. Use real-time data updates and analysis results to optimize business decisions

Target Users

Rockset is suitable for enterprise users who need to process large-scale data and require real-time analysis and search. Whether it is in game analysis, logistics tracking, anomaly detection or real-time reporting, Rockset can provide strong technical support to help enterprises quickly build and deploy related functions, save development time and reduce operating costs.

Examples

Gaming Analytics: Game analysis, such as telemetry, matching, anti-cheating, etc.

Logistics Tracking: Logistics tracking, such as ETA prediction, route optimization, inventory analysis, etc.

Anomaly Detection: Anomaly detection, such as fraud detection, spam fighting, threat detection, etc.

Real-time Reporting: Real-time reporting such as user-facing search and analytics, real-time dashboards, monitoring and alerts, etc.

Quick Access

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Categories

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› data analysis
› Development and Tools

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