Rockset
Rockset is a real-time analytics database that simplifies ingesting, storing, and analyzing large datasets with instant SQL search and queries.
Quix enables you to sync from Apache Kafka to Rockset, in seconds.
Speak to us
Get a personal guided tour of the Quix Platform, SDK and API's to help you get started with assessing and using Quix, without wasting your time and without pressuring you to signup or purchase. Guaranteed!
Explore
If you prefer to explore the platform in your own time then have a look at our readonly environment
👉https://portal.demo.quix.io/?workspace=demo-dataintegrationdemo-prod
FAQ
How can I use this connector?
Contact us to find out how to access this connector.
Real-time data
Now that data volumes are increasing exponentially, the ability to process data in real-time is crucial for industries such as finance, healthcare, and e-commerce, where timely information can significantly impact outcomes. By utilizing advanced stream processing frameworks and in-memory computing solutions, organizations can achieve seamless data integration and analysis, enhancing their operational efficiency and customer satisfaction.
What is Rockset?
Rockset is a cloud-native, real-time analytics platform that allows users to perform fast SQL queries without needing to manage infrastructure or preprocess data. It ingests raw data from a variety of sources and enables instant analytics, eliminating the complexity overhead of traditional data warehouses.
What data is Rockset good for?
Rockset excels in handling realtime data streams and unstructured data formats such as JSON, CSV, Parquet, and more. It is ideal for applications that require immediate insights from live data and dynamic updates, as it allows for rapid query execution directly on raw data.
What challenges do organizations have with Rockset and real-time data?
Organizations encounter challenges with Rockset when dealing with high variability in data schema and maintaining cost efficiency while managing large scale real-time data queries. Additionally, integrating with existing data ecosystems and ensuring data consistency can be complex without careful architectural planning.