Pure numbers! Why are users switching to Apache Doris for log storage and analytics? 🤔 Check the story of this cybersecurity leader in APAC After switching to Apache Doris, they achieved 3× write throughput, with only 3 servers instead of 13.

Pure numbers! 2⃣ Why are users switching to Apache Doris for log storage and analytics? 🤔 📌 User B Elasticsearch struggled with slow aggregations and inflexible indexing. By migrating to Apache Doris, they now enjoy 10× faster aggregation and 60% lower storage costs.

🏦 Top commercial bank migrated from Elasticsearch to Apache Doris for PB-scale log storage and analytics User story of a bank whose credit card center generates over 14 billion log entries (~80 TB) per day, with a total archived volume exceeding 40 PB velodb.io/blog/1410

Flink forward with Apache Doris ✨

As of today, countless users have adopted Apache Doris for log storage and analytics — many migrating from Elasticsearch or ClickHouse. We’ve tracked their efficiency gains to give you a clearer picture of how the migration pays off.👇

Congratulations on EMQX 5.10.0! With it, you can now integrate MQTT data with Apache Doris and its compatible databases. This will make a powerful IoT analytics solution! More about EMQ Technologies and how it can work together with Apache Doris: velodb.io/blog/1412 #IoT #MQTT

We decided to take on the JSONBench challenge to see how Apache Doris handles semi-structured data. We were eager (and a bit nervous) to see how Apache Doris would perform.👇 velodb.io/blog/1422

How Apache Doris Works Under the Hood: Basic Concept 5️⃣ Vectorized Engine 🚂 Left: A traditional volcano model engine that processes rows one by one Right: Fully vectorized engine of Apache Doris paired with late materialization, which processes a whole data batch at a time

Yes, the data lakehouse vision sounds promising, but real-world adoption comes with challenges. Don't worry, we hear you. See how Apache Doris can make your lakehouse journey easier ⬇️ Latest blog by Rayner Chen, Apache Doris PMC Chair velodb.io/blog/1411

What’s driving data engineers to migrate from Elasticsearch / Grafana Loki to Apache Doris? We'd like to revisit the moment when we first introduced inverted index into Apache Doris. doris.apache.org/blog/Building-…

There are 100 reasons for migrating from Snowflake to open source: 1️⃣ Unpredictable charges 2️⃣ Limited support for real-time, high-concurrency analytics workloads 3️⃣ Not enough infra control 4️⃣ Customization gap ... What does Apache Doris user say? linkedin.com/events/7348310…

How Apache Doris Works Under the Hood: Basic Concept 4️⃣ MPP architecture

Migrating from Snowflake to Apache Doris: Real-World Case Study Join our live webinar with Parth Soni, a seasoned data engineer and solutions architect who has migrated from Snowflake to Apache Doris in his project 🙌 linkedin.com/events/7348310…

Apache Doris is a modern #data warehouse for real-time analytics. It delivers lightning-fast analytics on real-time data at scale. Doris 3.0.6.2 is now available for download: buff.ly/GsPLrEF #opensource

VeloDB Webinar on migrating from Snowflake to Apache Doris: a real-world case study 🎙️ youtube.com/watch?v=-kIXM3…

A hands-on guide to Apache Doris as a data lakehouse solution! 🌊 What can it do? 1️⃣ For lakehouse analytics acceleration: ✔️ Caching for query acceleration ✔️ Materialized views and transparent SQL rewriting velodb.io/blog/1428

Upcoming meetups in CA and HK! 🏙️ Sunnyvale, California | Au 20 📣 Real-Time IoT Analytics with Apache Doris: EMQ Technologies and VeloDB in Action velodb.io/events/doris-m… 🏙️ Hong Kong | Aug 22 📣 NebulaGraph × Apache Doris Meetup: the New Fintech Paradigm velodb.io/events/apache-…

Get started with Apache Doris: Deploy with Docker youtube.com/watch?v=xPxO8l…