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Rockset is a real-time analytics database that provides a platform for building real-time applications. It offers features such as hybrid search, real-time indexing, and the ability to use standard SQL for fast search, filtering, and aggregations. The platform is designed to handle high-speed data ingestion and querying, making it suitable for use cases such as real-time reporting, user-facing search and analytics, live dashboards, monitoring, and alerting. Rockset's architecture is optimized for cloud environments, with a focus on efficiency and scalability. It separates compute and storage, allowing users to scale each independently based on their needs. This can help in optimizing costs and resource utilization. The platform supports various data sources, including Kafka, MongoDB, DynamoDB, and S3, and provides native connectors for seamless integration. It also offers features for handling vector data and embeddings, making it suitable for use cases that involve machine learning and AI. One of the key advantages of Rockset is its ability to deliver real-time indexing and queries with low operational effort and cost. This can be particularly valuable for organizations that require fast and efficient access to their data for real-time decision-making and application functionality. In terms of pricing, Rockset offers a flexible model based on compute and storage usage. Users can choose from different instance classes and storage options, allowing them to tailor the platform to their specific requirements and budget. Overall, Rockset is a powerful platform for real-time analytics and application development. Its ability to handle high-speed data ingestion, support for standard SQL, and efficient cloud-optimized architecture make it a compelling choice for organizations looking to build real-time applications and derive insights from their data in a fast and scalable manner."

• Real-time analytics, Cloud database, Hybrid search, Standard SQL support, High-speed data ingestion, Scalability, Cloud-optimized architecture, Native connectors for data sources, Support for vector data and embeddings, Low operational effort and cost for real-time indexing and queries, Flexible pricing based on compute and storage usage