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Customer-Facing Analytics that Pays: Engineering Insights from Pinterest

“Which SQL engine best meets our needs?” It’s a high-stakes decision that demands careful evaluation. Pinterest Senior Staff Engineer and Presto TSC member Zhenxiao Luo shares firsthand insights on how StarRocks became a cornerstone of Pinterest’s analytics ecosystem—cutting P90 latency by 50% while using only 32% of the previous infrastructure.

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Real-Time Analytics for Web3: Fraud Detection, Trading, and Growth at Scale

Web3 platforms face a fundamental analytics challenge that traditional data stacks can’t solve. Explore real-world examples from companies like Coinbase and TRM Labs, and learn practical strategies to overcome it.

Why Customer-Facing Analytics Breaks—and How to Build It Right

If you’re serving analytics to customers, you know the pain: slow queries, stale data, and scaling headaches. We’ll show you how teams have solved these problems with StarRocks—powering dashboards, APIs, and AI-driven insights.

Introducing StarRocks 3.5

StarRocks 3.5 brings major upgrades across system reliability, ingestion, performance, security, and more. In this video, we’ll break down what’s new, what’s improved, and what they mean for engineers using StarRocks in production.

Building Cost-effective Analytics Stack at Fanatics: StarRocks, Apache Iceberg & More

Explore how Fanatics rebuilt their analytics stack for real-time performance and scale using StarRocks, Apache Iceberg, Superset, and Kafka—in this practical, behind-the-scenes session.

Streaming Apache Iceberg Essentials: Mutable data, Small Files, Schema Evolution, And More

Discover how to build a high-performance streaming architecture on Apache Iceberg with Yingjun Wu (CEO, RisingWave) and Sida Shen (PM, CelerData). Get practical tips, real-world examples, and a live demo of Nimtable—an Apache-licensed tool for monitoring and optimizing Iceberg tables, including compaction status, metadata bloat, and layout issues.

Bringing Data Warehouse Performance to Apache Iceberg

This session offers a practical guide to unlocking the full potential of Apache Iceberg. From Iceberg v3 highlights to core techniques—vectorized execution, metadata handling, and intelligent caching—you’ll learn how to build a faster, more governed lakehouse.

Customer-Facing Analytics Meets Agents: Eightfold’s Journey Beyond Redshift

Suresh Bysani, Director of Engineering at Eightfold, joined us to share why Redshift fell short of their evolving needs—and the results they’re seeing after switching to StarRocks. He also offers a peek into agentic analytics, along with the new challenges they’re navigating around performance, permissions, and trust.

Customer-Facing Analytics that Pays: Engineering Insights from Pinterest

“Which SQL engine best meets our needs?” It’s a high-stakes decision that requires careful consideration, and Pinterest Senior Staff Engineer and Presto TSC member Zhenxiao Luo shares firsthand insights on how StarRocks became a critical pillar in Pinterest’s analytics ecosystem.

Introducing StarRocks 3.4

StarRocks 3.4 has arrived, packed with powerful new features! Take an in-depth look at the latest advancements in data lake analytics, query performance, vector search, and data ingestion—so you can make the most of this update!

Xiaohongshu/RedNote’s Secret for Customer-Facing Analytics With 200M+ Users

Discover how Xiaohongshu/RedNote, one of the world’s fastest-growing social platforms, is scaling its customer-facing analytics with open-source technologies—maximizing efficiency while keeping costs in check.

StarRocks Annual Community Roundtable: Celebrating 2024 and What’s Next in 2025

Catch up with the StarRocks community as we reflect on the milestones of 2024 and get an exclusive look at what's coming in 2025!

Demandbase Ditches Denormalization By Switching off ClickHouse

Discover how Demandbase transitioned from ClickHouse to StarRocks, achieving greater scalability, improved query performance, and reduced operational costs—ensuring a resilient foundation for their analytics needs.

CelerData Quarterly Update: Automatic Materialized Views and More

Find out how CelerData Cloud’s new enhancements empower users to reduce operational overhead, boost security, ensure availability, and enhance connectivity.

Stream Processing Must-Haves

Ben Gamble, Field CTO at Ververica (the original creators of Apache Flink), and Sida Shen, Product Manager at CelerData, break down the essentials of real-time stream processing, sharing insights into its benefits, challenges, and practical ways to get started.

What’s Next for Lakehouse in 2025 With Databricks and CelerData

Take a deep dive into the future of the lakehouse with this recorded fireside chat featuring Databricks Product Expert Michelle Leon. This session covers the latest developments, including Unity Catalog, Databricks' acquisition of Tabular, key differences between Databricks and Snowflake regarding open formats, and more.

StarRocks X Tencent - Introducing Vector Similarity Search

Tencent’s approach to transforming StarRocks into a high-performance vector database, addressing the challenges of building a billion-scale image repository and supporting both traditional analytical queries and vector similarity search within one unified system.

Query Engine Must-Haves for the Best Apache Superset Experience

Discover the query engine features essential for unlocking the full potential of Apache Superset and achieving the BI performance everyone hopes for but few ever get.

How to Accelerate Apache Iceberg Metadata Retrieval

Job planning in Iceberg can be slow, particularly with large metadata or high concurrency. This video details how StarRocks 3.3 improves planning speed using adaptive methods, backed by real-world examples and a demo comparing performance between versions 3.2 and 3.3.

StarRocks Virtual Meetup: Version 3.3.x and What’s Next

Catch the recorded session of the StarRocks August Community Call, where Harrison Zhao and Sida Shen walk you through the new features in 3.3.x, share upcoming plans, answer the most commonly asked questions, and update you on what’s happening in the StarRocks community.

Rockset Acquired by OpenAI: What's Next for Its Users?

Whether you're affected by Rockset's shutdown this September or simply exploring new database options, this video will guide you through a range of alternatives and help you find the best fit for your needs.

Materialized Views: Tips, Tricks, and Use Cases

Discover the latest updates and best practices on StarRocks' materialized views from Murphy Wang, the technical mind behind this feature, to help you achieve the best query performance for your data pipeline.

Data Upserts Challenges in OLAP Databases

Discover the challenges of data upserts in OLAP systems and explore effective strategies, including the delete and insert method, with real-world examples like Airbnb’s fraud detection.

What Is StarRocks and What Are Its Use Cases?

Get to know StarRocks, an Apache-licensed Linux Foundation open-source project, and discover how it excels as a data warehouse for real-time and customer-facing analytics, as well as serving as a query engine for data lakes and data lakehouses.

Data Lake Query Engines: Trino vs StarRocks

Explore the differences between Trino and StarRocks as data lake query engines, their architectures, performance benchmarks, and suitable use cases for modern data analytics.

StarRocks 3.3 is Here: Key Features and Improvements

StarRocks 3.3 is here, and it's more powerful than ever. In this video, we'll walk you through everything you need to know to get the most out of this release. Let's dive in and explore the new features and enhancements together!

The Register & CelerData: Ditch Your Data Warehouse with Superior Lakehouse Performance

CelerData's Product Manager, Sida Shen, recently teamed up with The Register's Tim Phillips to discuss how CelerData Cloud Serverless enables superior lakehouse performance, making it possible to ditch your data warehouse.

Going Serverless for Warehouse-Free Lakehouse Analytics

Discover CelerData Cloud Serverless, a fully managed lakehouse query engine built on StarRocks. Explore its advanced features and see how it enables data warehouse performance on the lakehouse through a demo!

StarRocks Connect: Sling - Extract & Load Data From Your CLI With Ease and Speed

Meet Fritz Larco, the brain behind Sling. Discover what sets Sling apart and the value it brings to StarRocks users.

Unlock User Behavior with 87M Events Using Hudi, StarRocks & MinIO - Apache Hudi Community Call

Learn how to run an open data lakehouse with Apache Hudi and MinIO, followed by an in-depth exploration of advanced user behavior analytics using StarRocks.

Apache Iceberg + StarRocks Your Recipe for Superior Lakehouse Performance

Follow StarRocks contributor Sida Shen in this information-packed session as he discusses common points of frustration for Iceberg users seeking better performance on the data lake. Discover how combining Iceberg with StarRocks can simplify and reduce the cost of your data lake queries.

What Is StarRocks: Features and Use Cases

Delve into the reasons behind StarRocks' emergence as the preferred query engine for a growing number of enterprises. Discover its key features, explore a variety of use cases, and learn how you can leverage StarRocks to benefit your organization.

StarRocks on Open Data Lakehouse Tutorial: StarRocks + Apache Iceberg + MinIO

Watch this step-by-step tutorial and learn how to use StarRocks as a powerful open data lake and lakehouse query engine with Apache Iceberg and MinIO. Discover how to achieve high performance and flexibility without requiring all data to persist within StarRocks.

Getting Started Tutorial: Building a Data Lakehouse With StarRocks, Apache Hudi, and MinIO

Discover how to set up and leverage StarRocks and Apache Hudi to create a robust open data lakehouse architecture, capable of handling the most demanding data warehouse workloads on open and standardized storage.

Tutorial: Getting Started with StarRocks - Storage-Compute Separation

Follow these easy steps to launch StarRocks with shared-data leveraging Object Storage and start querying, all in less than ten minutes.

StarRocks Connect: RisingWave

Rayees Pasha, the Head of Product at RisingWave, explores the inner workings and advantages of the RisingWave SQL streaming database in this video. Learn about its key features, real-world applications, and how RisingWave will bring value to StarRocks users.

5 Brilliant Lakehouse Architectures from Tencent, WeChat, and More

Learn where lakehouse design often goes wrong, how to avert disaster, and how to fully exploit the advantages of Data Lakehouses in terms of flexibility, scalability, and cost savings in this session.

How to Boost Your Data Lake Performance with Materialized Views

Dive into what has been holding data lake performance back, why a more intelligent approach to materialized views can solve these challenges, and how to plan ahead to make 2024 the year of amazing data lake performance for your company.

Trino Vs StarRocks - Data Warehouse Performance on The Lakehouse

Dive deep into the latest developments in data lakehouse querying and discover why it's time to transition from Trino.

Why Apache Druid Can't Handle Modern Real-Time Analytics and What to Do About It

Take an in-depth look at the reasons behind Apache Druid's shift in status within modern real-time analytics and what your 2024 strategy should entail.

From Denormalization to JOINs: Why ClickHouse Can't Keep Up

Learn about the latest advancements in JOIN operations and why it's the right moment to move beyond denormalization and alternatives like ClickHouse.

Tencent Games' Analytics With StarRocks

Tune into Tencent Games' session from the recent StarRocks Community Meetup in Singapore to learn how they utilized StarRocks to address their real-time analytics challenges.

The Practice of StarRocks at Shopee

Ma Teng of Shopee's data infrastructure team offers a comprehensive insight into their StarRocks journey. From deployment strategies to real-world use cases at Shopee, uncover the best practices to achieve robust data analytics operations.

RED's Journey to a 7x Performance Boost by Replacing Presto with StarRocks

Discover how RED, a social media giant with over 200 million monthly active users, achieved a 6-7x performance boost in data lake queries and reduced their P90 latency by 90% after transitioning from Presto to StarRocks.

ATRenew's Journey from Trino to StarRocks

Switching from Trino to StarRocks, ATRenew, a leader in pre-owned electronics trade-in and recycling, witnessed a drastic performance improvement, overcoming initial obstacles and achieving new efficiency levels.

Trip.com Achieved 7.4x Performance Boost by Replacing Trino with StarRocks

Learn how Trip.com upgraded its internal reporting platform, ArtNova, by transitioning from Trino to StarRocks, attaining an impressive 7.4x increase in performance without the use of materialized views.

TFiR X CelerData CelerData Enables Data Engineers To Build New Analytics Projects Faster

On-demand episode of @TFiRio: Let's Talk featuring Sida Shen, Product Marketing Manager at CelerData. In this episode, Sida shares his expertise in the data analytics field and explores how CelerData Cloud assists companies in enhancing query performance while reducing operating costs.

CelerData X DBTA - Go Pipeline-Free With Real-Time Analytics

Complex real-time data pipelines are now a thing of the past. Going "pipeline-free" is the new best practice for data-driven businesses. Learn how to build your own pipeline-free platform in this video.

How Expensive is Real-Time Analytics

Uncover what makes real-time analytics expensive and explore ways to find an optimal balance between efficiency, affordability, and in-depth analysis.

Is JOIN a Luxury in Real-time Analytics?

What challenges come with JOIN operations? Why are they often seen as a "luxury" in real-time analytics? And what's behind the rising adoption of denormalization as a solution, including its limitations? Watch this 2-minute video to discover the answers.

Ditch Denormalization: Why StarRocks' JOINs Are So Fast

StarRocks offers some of the best JOIN performance available today, but how does it achieve this? Learn the secrets of StarRocks JOINs in this webinar.

How to Go Pipeline-Free With Real-Time Analytics

What does it mean to go "pipeline-free" with your real-time analytics, and how can you get started? This joint webinar with CelerData and DZone will show you how.

Debunking The Biggest Myths About Real-Time Analytics

Many businesses avoid real-time analytics fearing that it's difficult to implement and maintain, but a lot has changed to make this no longer the case. Understand why in this video.

How to Simplify Your Real-Time Analytics Pipeline

While complex real-time data pipelines were once the norm, businesses no longer have to settle for slow and difficult to scale. Learn how to simplify your analytics pipeline in this video. 

How to Develop User-Facing Analytics Projects That Scale

Understand how to better manage analytics projects that need to scale to accommodate thousands of users without compromising performance in this webinar.

How to Make User-Behavior Analytics Work for You

Delve into the technical world of user behavior analytics, uncovering the secrets to its effective application and learning from industry leaders. This video walks you through user behavior analytics in StarRocks, featuring a live demo to help you navigate the process.

Why Achieving Real-Time User-Facing Analytics Is Hard

Understand the significance of real-time analytics for immediate decision-making and the hurdles of managing speed and concurrency. This video details how to tackle real-time user-facing analytics challenges.

How Real-Time Analytics Works: A Step-by-Step Breakdown

This video dives into the exciting world of real-time analytics. From data generation to decision-making, this video covers all the essentials.

What Is User-Facing Analytics?

Uncover the importance of user-facing analytics, as well as the solutions to its challenges, in this fast-paced and informative visual journey.

Real-time Analytics at Airbnb with StarRocks

See why Airbnb chose StarRocks to power their real-time trust analysis, Tableau BI reporting, metrics management, and much more in this talk by Airbnb engineer Jingwei Lu.

Pipeline-Free Real-time Analytics with StarRocks

Discover how going "pipeline-free" with your real-time analytics can not only make managing your analytics platform easier, but also improve your real-time performance.

StarRocks Virtual Office Hours: November 2022

In this 30-minute office hour session, StarRocks experts share what's new with the project, what's next on the product roadmap, and answer common questions about the platform.

StarRocks on AWS:
A Fireside Chat

Get the facts about the new StarRocks on AWS solution, an AWS partner solution developed by CelerData in collaboration with AWS. Learn how it's accelerating analytics on the cloud.

Real-Time Analytics Explained

Hear from two of the leading voices in the real-time analytics space as they answer the question: what is real-time analytics and how can you get the best performance for your business?

Presto, ClickHouse, StarRocks: The road to real-time analytics at a top social app

Understand your options when it comes to delivering high-performance real-time analytics when working with massive data volumes in this webinar.

Achieving real-time analytics using Apache Kafka®, Apache Flink® and StarRocks

Learn how to maximize your real-time analytics performance with enterprise-level data volumes using StarRocks with Apache Kafka and Apache Flink.

Democratizing Analytics at Airbnb with StarRocks

Learn how and why Airbnb made the move to StarRocks when it came time to build the next generation of their Minerva metrics platform.

How StarRocks Turbocharges Real-Time Analytics

Analyst Sanjeev Mohan shares what data engineers and analytics teams need to do to ensure their tech stack can address the needs of a rapidly shifting analytics landscape.

Five Key Capabilities for Implementing Real Time Analytics

Learn the five key capabilities for implementing real-time analytics, and find out how ngram builds its next-generation real-time data stack for blockchain analytics.

Real Time Analytics Deep Dive: Practical Use Cases

Dr. Prashanth Southekal and Sanjeev Chib, VP and Managing Director of Data Solutions at Moneris, discuss practical use-cases for real-time analytics.

How can StarRocks outperform ClickHouse, Apache Druid® and Trino？

See how StarRocks surpasses ClickHouse, Apache Druid, and Trino in performance. Learn about its superior support for complex data models and how it achieves faster query speeds in both wide and multi-table scenarios.