Rockset
AI-powered search and analytics database for rapid application development.
Acquired Rockset
Acquired · September 2024
Rockset was a real-time analytics and search database, founded in 2016 by former Facebook engineers. OpenAI acquired it on June 21, 2024 for its data indexing and retrieval technology. The standalone cloud service was shut down on September 30, 2024, roughly 90 days after the announcement, forcing customers to migrate off the platform. The technology was folded into OpenAI's retrieval infrastructure.
Acquired by OpenAI.
Last known pricing: Usage-based cloud pricing; enterprise quotes on request
Is Rockset shut down?
Effectively, yes. Rockset was acquired by OpenAI in Sep 2024 and the standalone product was sunset. Its record is preserved in the ToolDirectory.AI graveyard, our hand-reviewed registry of AI tools that shut down or were acquired.
What to use instead
Overview
Accelerate AI and ML Application Development with Rockset's Cloud-Native Database
Rockset is a cloud-native search and analytics database that enables the rapid development of search, analytics, and AI applications. It offers real-time indexing, full-featured SQL, and compute-compute separation, positioning itself as a cloud-native alternative to Elasticsearch. Rockset is designed for businesses that require speed and scalability in their data processing and application development.
Key Features:
- Real-Time Indexing: Continuously ingests and indexes various data types, including JSON, geospatial, and time series.
- Millisecond SQL: Provides standard SQL capabilities for efficient data retrieval and complex queries.
- Cloud-Native Design: Ensures scalability and flexibility with compute-compute separation.
- High Performance: Delivers fast query responses even under high QPS workloads.
- Integrations: Built-in integrations for Kafka, MongoDB, DynamoDB, S3, OpenAI, and LangChain.
- Enterprise-Grade Security: Maintains robust security and compliance standards.
Ideal Use Case:
Rockset is ideal for developers and data engineers building real-time search, analytics, and AI applications, especially in environments where speed and scalability are critical. It's particularly useful for businesses dealing with large-scale data and requiring rapid insights.
Why use Rockset:
- Speed and Efficiency: Offers fast data ingestion and query responses.
- Scalability: Handles large volumes of data and high query rates.
- Flexibility: Adapts to various data types and complex query requirements.
- Ease of Use: Simplifies the development process with cloud-native capabilities.
tl;dr:
Rockset provides a high-performance, cloud-native database solution for developing search, analytics, and AI applications quickly and efficiently. It stands out for its real-time indexing, millisecond SQL queries, and scalability, making it a valuable tool for modern data-driven businesses.
FAQ
Q: What is Rockset used for? A: AI-powered search and analytics database for rapid application development.
Q: Is Rockset free? A: Rockset offers a free trial. See the Rockset pricing page for current tier details.
Q: Who is Rockset's ideal user? A: Rockset serves data analysts and BI teams working on AI-driven workflows.
Q: What competes with Rockset? A: Top alternatives to Rockset include Hex, Quantexa IQ, and Triple Whale. See our directory for in-depth comparisons.
Related
Looking for more options? Browse the BI & Analytics directory or read our best AI analytics tools listicle. Rockset is also tracked on Crunchbase.
Why Use Rockset
