We're super grateful to discuss Real-Time Hybrid Search & Analytics in the AI Era at the MIT Seminar. Thank you to Professor Samuel Madden for inviting us. Our conversation centered around a core question: What kind of database infrastructure does #AI truly need?

Every data system does real-time updates differently. How do Apache Doris, #Snowflake, #ClickHouse, #Redshift, #Iceberg, and #Hudi handle fast-changing data? 1️⃣ Copy-on-Write (CoW) 2️⃣ Merge-on-Read (MoR) 3️⃣ Merge-on-Write 🔗 https://t.co/acUWMgX93B

VeloDB Cloud 25.11 is live 🚀 The managed cloud service of Apache Doris now brings stronger data security, smoother workflows and native Kafka integration, and faster billing. 🔗 Release note: https://t.co/ghhhGHa0ip

When evaluating Apache Doris, #Elasticsearch, or #ClickHouse for #observability, you're really deciding how to handle massive volumes of fast-moving, constantly evolving data. Apache Doris supports large-scale JSON analytics and lower storage costs. 🔗 https://t.co/V55o8qslCB

📣 Webinar: Context Engineering, Hybrid Search, Apache Doris 4.0 AI Features 👉 RSVP: https://t.co/xAwgGO2XAL Apache Doris 4.0 and its new hybrid search capability in context engineering: delivering high-accuracy retrieval without the usual cost trade-offs. #RAG, #HybridSearch

AI workloads can generate logs in petabytes scale 🤯 Minimax (the creator behind AI chat app Talkie) chooses Apache Doris over #Elasticsearch and Loki to build its log system for AI applications. New Stack: iLogtail > Kafka > Apache Doris https://t.co/ozGQ0reIGp

JSON is everywhere: logs, metrics, events, AI... How do different systems handles large-scale JSON analytics? Apache Doris, Iceberg, and Snowflake uses #VARIANT. Elasticsearch uses dynamic mapping. ClickHouse uses JSON type.

Happy Thanksgiving from VeloDB & Apache Doris! We’re grateful for our community and everyone building with real-time analytics. This year marks big steps: Doris 4.0 now unifies vector search, hybrid search, and structured analytics in one SQL engine. 🔗 https://t.co/LhJZ4JRYqd

Heading to reinvent? Meet us at Data + AI Architecture Meetup at #AWSreInvent 🎟️ RSVP: https://t.co/znn9Mu8Ea9 Join us, Dremio, PATHSDATA, and PuppyGraph to chat about Iceberg, lakehouses, graph analytics, and Rust-native data platforms. @AWSstartups

Key #AI capabilities in Apache Doris 4.0: 1️⃣ Vector Search Vector indexing with the #HNSW type 2️⃣ AI Functions 3️⃣ Hybrid Search and Analytics Processing (HSAP) Text search, vector search, and structured analytics in one engine 4️⃣ Doris #MCP Server 🔗 https://t.co/LhJZ4JRYqd

⏰ Last call to register: Live tomorrow VARIANT Explained: Comparing JSON Analytics in Apache Doris, Iceberg, Elasticsearch, Snowflake, and ClickHouse 👉 RSVP before we go live: https://t.co/vXMljutWyD

Build an AI log analytics platform with Apache Doris + AWS Kinesis + Lambda + SageMaker + Amazon Bedrock. Parth Soni, a senior data engineer and AWS Solution Architect, shared this architecture at the recent Doris Summit 2025. 🔗Watch: https://t.co/pUtun65UZk

We built a real-time lakehouse pipeline, with S3 Tables + AWS Glue + Apache Doris to query Iceberg data in S3 directly. 1. S3 Tables store data in the Iceberg format 2. AWS Glue as the metadata layer 3. Apache Doris (via VeloDB) as the compute engine 🔗 https://t.co/Mu7Tzsc4vG

Apache Doris 4.0 is here 🚀Vector search. AI functions. Hybrid search. Now you can do hybrid search, managing and querying vector embeddings, structured, and semi-structured data, all in one SQL engine. #ApacheDoris, #VectorSearch, #HNSW, #AWS, #Graviton

Last Call 📣 Join us and AWS tomorrow for a live webinar on Agentic AI and data agents. Build a data infrastructure that's ready for AI and agentic workloads. 👉 Register:

Join our webinar to see how VARIANT in Apache Doris delivers fast JSON analytics at scale. 👉 Register: https://t.co/vXMljutWyD Demo: Query 1 billion rows of JSON data in seconds on Apache Doris. See how Elasticsearch, Snowflake, ClickHouse, and Iceberg handle JSON.

Apache Doris shows up to 70% better price-performance on ARM (AWS Graviton4) than on x86 🚀 We put Apache Doris to test on ARM-based Graviton4 vs. x86 across five OLAP benchmarks: ClickBench, SSB 100G, SSB-Flat 100G, TPC-H 100G, and TPC-DS 100G. 🔗 https://t.co/dnNMRfXyZZ

Join us for an Agentic AI webinar 🤖 ➡️RSVP: https://t.co/Blx8sNlf9J - Doris 4.0 demo: Vector search, hybrid search, and AI functions in a unified system. - Use AWS data and Al services to build your own domain-specific data agent.

Join us for the next Data for AI Meetup 🎟️ RSVP: https://t.co/RlpslmTwGd Build a data infrastructure that's ready for AI and agents, with multi-modal catalogs and real-time lakehouses Hear from top engineers at Uber, Pinterest, Datastrato, and VeloDB.

⏰ Last call: Just 2 days left! Join our webinar this Thursday to learn how to build a real-time lakehouse with Apache Doris and data catalogs. ➡️ RSVP: https://t.co/HSaddLrZKM Agenda: - Build unified analytics with Doris and catalogs - Using metadata to power AI devs