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What is Confluent Cloud?

Confluent Cloud is a fully managed, cloud-native data streaming platform built on Apache Kafka®, designed to handle real-time data streams across various environments. It enables organizations to seamlessly connect, process, and govern data streams at scale, facilitating the development of modern, data-driven applications.

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Connect

Effortlessly integrate and manage data streams from diverse sources, ensuring continuous data flow across your organization.

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Process

Utilize powerful stream processing capabilities to analyze and transform data in real-time, enabling immediate insights and actions.

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Govern

Implement robust governance tools to ensure data quality, security, and compliance, maintaining trust and reliability in your data streams.

Enable Real-Time Analytics On Confluent Cloud

CelerData Cloud, powered by StarRocks, brings high-performance, real-time customer-facing analytics directly to your streaming data from Confluent Cloud. Allow you to unlock the power of real-time insights without complex pipelines or data denormalization.

Real-time, second-level upserts

CelerData Cloud supports second-level upserts for all your mutable data, delivering instant insights across your entire data stream.

On-the-fly joins for simplified architecture

Reduce denormalization needs and streamline data architecture with efficient, on-the-fly joins.

Unmatched performance and cost-efficiency

Achieve peak performance at lower costs with a cost-based optimizer and C++ SIMD-optimized engine.

Real-Time Analytics Use Cases

Airbnb Logo

Fraud Detection

With users worldwide and millions of listings available, it's imperative for Airbnb to detect and prevent fraudulent activities instantly. Through real-time data analysis, Airbnb can quickly spot suspicious patterns, flag questionable bookings, or detect fake reviews, averting potential losses in time and maintaining user trust.
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Customer-Facing Analytics

With over 500 million monthly users, Pinterest uses real-time analytics to help advertisers optimize campaigns and improve engagement. Read their story to learn how Pinterest handles its growing data needs, providing faster, more impactful insights.
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Transportation

As a leading travel service provider, Trip.com relies on real-time analytics to manage millions of bookings, monitor flight statuses, and track customer feedback. Real-time dashboards empower employees to provide quick customer support, optimize services, and make data-driven decisions that enhance user experience.
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How CelerData Enhance Confluent Cloud

Query cache

An intermediate result cache tailored for customer-facing analytics, where all queries are generated from within the BI tool or application being used.

Primary key table

CelerData's Primary Key table is specifically engineered to deliver powerful query performance during continuous high-volume real-time data ingestion. The primary key index enables data change operations to be resolved at data ingestion, leaving only the latest version of records.

Cost-based optimizer

CelerData's cost-based optimizer (CBO) uses statistics collected from the data to estimate the costs of different execution plans for a query and picks the most efficient, essential piece to complex queries, especially with multi-table JOINs.

Massively parallel processing

CelerData's massively parallel processing (MPP) architecture with in-memory data shuffling prevents a single node from bottlenecking the entire system, allowing for near-linear scale, especially for JOINs and high cardinality aggregation queries.

Vectorized query
execution

Besides being written in C++ and fully SIMD optimized, CelerData's vectorized query executions deliver the industry's fastest query performance for Confluent Cloud.