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SelectDB

15 articles · Page 1 of 1
DataFunSummit
DataFunSummit
Jul 3, 2026 · Databases

Agent Native: Ultra‑Fast Analytical Database Paradigm for Agents

The presentation at the Agentic AI Summit details the four core challenges of agent‑driven data analysis and introduces SelectDB’s Agent Native architecture—combining sub‑second query speed, unified multimodal search, semantic understanding, and cloud‑elastic observability, with reported storage savings of up to 88% and 5‑10× text‑search acceleration.

Cloud ElasticityData InfrastructureHybrid Search
0 likes · 7 min read
Agent Native: Ultra‑Fast Analytical Database Paradigm for Agents
DataFunTalk
DataFunTalk
Jun 26, 2026 · Databases

How SelectDB Tackles Speed, Unification, Agent‑Native and Cloud Elasticity for the Agent Era

The 2026 SelectDB AI product launch outlines how the database addresses four Agent‑era challenges—sub‑second speed, unified multi‑modal data, Agent‑Native interfaces, and cloud elasticity—through benchmark‑backed performance, a new MCP server, Litefuse observability, and a serverless architecture.

AI Data InfrastructureAgent-NativeMulti-modal
0 likes · 10 min read
How SelectDB Tackles Speed, Unification, Agent‑Native and Cloud Elasticity for the Agent Era
DataFunSummit
DataFunSummit
Jun 20, 2026 · Big Data

Building an Agentic Analytics Platform for the Gaming Industry with SelectDB

The article analyzes the fourfold challenges of game‑industry data analysis—high timeliness, massive concurrency, heterogeneous sources, and petabyte‑scale volumes—and explains how SelectDB’s evolution to an AI‑Ready, Agentic platform with MCP and a semantic layer addresses these issues through real‑time OLAP, multimodal processing, and autonomous decision loops.

AI-ReadyBig DataGame Data Analytics
0 likes · 16 min read
Building an Agentic Analytics Platform for the Gaming Industry with SelectDB
DataFunSummit
DataFunSummit
Jun 5, 2026 · Industry Insights

Why Enterprise Agents Need Real‑Time Fact Retrieval More Than Semantic Understanding

The article analyzes how enterprise‑level AI agents, when deployed in production, struggle with factual data retrieval despite semantic capabilities, and argues that real‑time, low‑latency, multimodal analytics—exemplified by systems like Apache Doris and SelectDB—are the essential data entry points for successful Agent deployments.

AI AgentApache DorisHybrid Search
0 likes · 9 min read
Why Enterprise Agents Need Real‑Time Fact Retrieval More Than Semantic Understanding
DataFunSummit
DataFunSummit
May 16, 2026 · Industry Insights

How SelectDB Powers a Next‑Gen Real‑Time Data Warehouse for Banks

The article analyses the structural mismatch between banks' demand for instant data‑driven decisions and their legacy, component‑heavy architectures, then details how SelectDB’s high‑performance, unified MPP engine, schema‑change agility, and financial‑grade security enable a real‑time data‑warehouse platform that supports diverse banking scenarios from dashboards to fraud detection.

AI integrationData SecurityDataMind
0 likes · 19 min read
How SelectDB Powers a Next‑Gen Real‑Time Data Warehouse for Banks
DataFunSummit
DataFunSummit
Apr 21, 2026 · Industry Insights

How SelectDB Cuts 60% Costs and Boosts Real‑Time Performance for New Energy Batteries

The whitepaper analyzes the data‑driven transformation of the new‑energy battery sector, outlines four core challenges—massive data streams, fast‑changing R&D demands, long manufacturing cycles, and multi‑dimensional quality standards—and demonstrates how SelectDB’s unified lake‑warehouse architecture delivers million‑level throughput, second‑level latency, up to 30× query speedup, and 60% cost reduction across real‑world case studies.

Big DataCase StudyData Warehouse
0 likes · 18 min read
How SelectDB Cuts 60% Costs and Boosts Real‑Time Performance for New Energy Batteries
DataFunSummit
DataFunSummit
Mar 31, 2026 · Industry Insights

How SelectDB Overcomes the ‘Impossible Triangle’ in Real‑Time Automotive Data

The whitepaper explains how the explosive growth, multimodal nature, and real‑time collaboration demands of intelligent connected‑vehicle data create two “impossible triangles,” and how SelectDB’s three technical innovations—Index+Bitmap primary keys, Variant sparse columns, and hybrid full‑text/vector search—enable cost‑effective, high‑performance real‑time analytics across five automotive scenarios with proven case studies from leading OEMs.

AutomotiveData InfrastructureDatabase Innovation
0 likes · 17 min read
How SelectDB Overcomes the ‘Impossible Triangle’ in Real‑Time Automotive Data
DataFunTalk
DataFunTalk
Jul 1, 2024 · Big Data

DataFunCon2024 Beijing: Real‑Time Lakehouse and Big Data Sessions

The DataFunCon2024 Beijing conference on July 5‑6 showcases a series of technical talks about real‑time lakehouse architectures, big‑data analytics, and cloud‑native data warehouses, offering practitioners insights into Apache Paimon, SelectDB, and Doris implementations for faster, more agile data processing.

Apache PaimonLakehouseSelectDB
0 likes · 8 min read
DataFunCon2024 Beijing: Real‑Time Lakehouse and Big Data Sessions
DataFunTalk
DataFunTalk
Dec 13, 2023 · Databases

SelectDB Boosts GuanceDB Observability: Architecture Upgrade, Cost Reduction, and Performance Gains

This article details how SelectDB’s inverted‑index, Variant data type, and sampling capabilities were integrated into GuanceDB to replace Elasticsearch, achieving up to 70% storage cost reduction, 2‑4× query speed improvement, and a ten‑fold overall cost‑performance boost for log analytics and observability workloads.

Log AnalyticsObservabilityPerformance
0 likes · 20 min read
SelectDB Boosts GuanceDB Observability: Architecture Upgrade, Cost Reduction, and Performance Gains
DataFunTalk
DataFunTalk
Oct 25, 2023 · Databases

Apache Doris Summit Asia 2023: Highlights, Innovations, and Industry Use Cases

The Apache Doris Summit Asia 2023 showcased the milestone 2.0 release, impressive performance gains, rapid community growth, and diverse industry deployments, while outlining future cloud‑native and unified analytics directions that position Doris as a leading real‑time data warehouse solution.

Apache DorisBig DataData Warehouse
0 likes · 13 min read
Apache Doris Summit Asia 2023: Highlights, Innovations, and Industry Use Cases
DataFunSummit
DataFunSummit
Jun 4, 2023 · Databases

From Apache Doris to SelectDB: Evolution Towards the Next‑Generation Cloud‑Native Data Warehouse

This presentation introduces Apache Doris, examines changing data analysis demands in the cloud era, explains why SelectDB was created, and details SelectDB’s cloud‑native architecture, performance, unified capabilities, ease of use, cost efficiency, open‑source nature, and its application scenarios for modern data warehousing and log analytics.

AnalyticsApache DorisCloud-native
0 likes · 15 min read
From Apache Doris to SelectDB: Evolution Towards the Next‑Generation Cloud‑Native Data Warehouse