DolphinDB is dedicated to developing the most powerful and advanced time-series database. DolphinDB’s clients include investment banks, mutual funds, hedge funds, cryptocurrency exchanges, large IoT firms in energy, manufacturing and other industries, data analytics service providers, etc. Among the time-series databases in the world, DolphinDB is one of the fastest and has the most comprehensive computational capabilities. DolphinDB also offers streaming functionalities for complex real-time calculations. As of October 2021, DolphinDB is ranked 11th among the 37 time-series databases on DB-Engines Visit us online at www.dolphindb.com DolphinDB is used in the following three scenarios in quant finance, IoT and other fields: 1. Real time data warehouse: Super fast read and write speed with huge amounts of data. 2. Research and development: With SQL-based yet fully-featured scripting language, DolphinDB significantly improves the efficiency of development. 3. Real time computing: A low latency streaming framework with multiple built-in stream computing engines.

📊 The future of #IoT and connected systems depends on how well we can manage and analyze massive streams of data in real time. From smart grids to connected vehicles to industrial automation, organizations face the same challenge: ⚡️ billions of measurement points, high-frequency updates, and the need for instant insights. That’s why #DolphinDB launched the IOTDB engine — designed to help enterprises: ✅ Scale seamlessly to hundreds of millions of IoT data points ✅ Achieve millisecond-level latency for real-time decision making ✅ Optimize both performance and cost-efficiency at scale Whether you’re building the next-generation energy platform or IoT ecosystem, this tutorial shows how IOTDB can help transform raw data into immediate business value. 🔗 Explore the full tutorial here: https://lnkd.in/giRJZxBB 🌐 More info: https://dolphindb.com/ #DigitalTransformation #SmartIndustry #TimeSeries #DataManagement #IndustrialIoT #SmartGrid #EdgeComputing #DataInfrastructure

🗺️ Information is an edge — but only if you can capture it before the market does. Every day, news, research, and social signals flood the market. Buried in that noise are the insights that move prices. The challenge? Traditional databases can’t keep up — text queries are slow, and opportunities slip away. That’s why we built #DolphinDB TextDB engine. With TextDB, you can: - Ingest and structure massive news feeds instantly - Create text indexes that deliver results in milliseconds - Monitor sentiment and trends in real time Our latest benchmarks show queries running up to 20× faster than conventional LIKE searches. If your world depends on speed and insight — from alternative data to market intelligence — this is the edge you need. 👉 Explore the full tutorial: https://lnkd.in/gaDqexh2 🌐 More info: https://dolphindb.com/ #DataAnalytics #TextSearch #NewsAnalytics #BigData #FinTech #MarketIntelligence #AlternativeData #TextAnalytics #RAG #LLM

🔥 Another #DolphinDB Tech Deep Dive in the books – and what a session! Last week we took a closer look at JIT (Just-In-Time) compilation and how it’s changing the game for DolphinDB users. We walked through the evolution from optimizing UDFs to full object-oriented JIT support, meeting the needs of DLang, SQL, streaming, GPU, and plugins. 📈 The result? 2×–30× speed-ups in real-world tests across heavy workloads like position cost, implied volatility, Greeks, and stop-loss calculations – all powered by MLIR + LLVM, a flexible multi-language pipeline that keeps code efficient and maintainable. Thanks to everyone who joined live and shared questions – the conversation made it even better. 🎤 Next up: GPU acceleration – you’ll want to tune in! 🌐 More info: https://dolphindb.com/ #JIT #LLVM #MLIR #HighPerformanceComputing #DataAnalytics #QuantFinance #BigData #StreamingData #GPUAcceleration #FinTech

💡 New in DolphinDB Web: Multi-Tab + Git Integration Working on complex data projects with a single editor window? That's so 2020. 👏 What's new: → Multi-tab editing for managing multiple scripts without losing your mind → Native Git integration with GitHub and GitLab for seamless team collaboration Why this matters: No more switching between windows, copying code snippets, or wondering which version your teammate is working on. Everything flows in one interface. If you've been waiting for #DolphinDB Web to feel more like a real development environment, this is it. See it in action with our quick setup guide 👉 https://lnkd.in/gC52X-3T 🌐 More info: https://dolphindb.com/ #DataEngineering #DevProductivity #GitHub #GitLab #DevTools #RealTimeComputing

🛫 The edge-to-cloud data challenge is real — and it's costing companies millions in missed opportunities. As IoT deployments explode across manufacturing, transportation, healthcare, and smart infrastructure, the gap between what edge devices capture and what cloud systems can act on is widening fast. We just published our deep dive on solving this with #DolphinDB 's approach: ✅ Lightning-fast sync between edge and cloud with minimal latency ✅ Smart compression (lz4/zstd) that cuts transfer costs without losing speed ✅ Flexible deployment from tiny edge devices to massive cloud clusters ✅ Complete pipeline — capture, store, and analyze in real-time 👉 Dive into the full guide & benchmarks (14M+ records): https://lnkd.in/gbv2A4Ks 🌐 More info: https://dolphindb.com/ #RealTimeComputing #StreamingData #IoT #EdgeComputing #RealTimeData #CloudComputing #DataEngineering #BigData #SmartManufacturing

💭 DolphinDB Tech Deep Dive | # 2: JIT Compilation for Accelerated Computing We’re back with Episode 2 of our #DolphinDB Tech Deep Dive series — this time highlighting how JIT compilation enables the architecture and optimizations that make DolphinDB a real-time, high-performance platform. 🔹 Episode 2 Details 📅 Date: Thursday, August 21 🕢 Time: 7:30 PM (GMT+8) 🎤 Speaker: Jiening Cai, R&D Engineer at DolphinDB See how JIT Compilation unlocks next-level performance — with behind-the-scenes insights from our R&D team and an exclusive live demo. 📩 Register via email: info@dolphindb.com 🌐 More info: https://dolphindb.com/ #RealTimeComputing #JIT #BigData #DataEngineering #FinTech #IoT #SmartManufacturing #TimeSeriesData #DataArchitecture

In high-frequency trading, milliseconds make millions. Yet most traditional factor development platforms are still stuck in the past — siloed research and production workflows, slow backtests, and high-latency real-time calculations. Leading hedge funds found a better way with #DolphinDB : ✅ Factor calculations: 10-20x faster ✅ Full-market backtests: 100x faster ✅ Factor deployment: 75% faster The bigger picture? True "develop once, deploy anywhere" workflows, factors that work like reusable services, and real-time intelligence that turns market data into instant trading decisions. 📖 Read the full case study to see how milliseconds become a competitive edge: https://lnkd.in/gqNGQBs7 🌐 More info: https://dolphindb.com/ #QuantTrading #HFT #FactorDevelopment #HedgeFunds #Backtesting #RealTimeAnalytics

💡 Boost Your Quant Analysis with the #DolphinDB Empyrical Module Financial risk and performance metrics are the foundation of any solid trading strategy. The #Empyrical library from #Quantopian has long been a go-to for #Python users — now, DolphinDB makes it even faster and easier to calculate these metrics at scale. With the Empyrical module in DolphinDB, you can: ✅ Calculate metrics like Sharpe Ratio, Calmar Ratio, Alpha/Beta, Value at Risk, and more ✅ Run grouped computations in SQL directly on massive datasets ✅ Use metrics in real-time stream processing for live strategies 📊 In our benchmark tests, most functions ran 9× faster on average than Python — and in some cases, over 70× faster. 📥 Full tutorial, code examples, and benchmarks here: https://lnkd.in/gvNA4rrX 🌐 More info: https://dolphindb.com/ #QuantFinance #Trading #RiskManagement #BigData #FinancialAnalytics #RiskAnalytics #Backtesting

👏 Just wrapped up the very first #DolphinDB Tech Deep Dive livestream! We spent an hour diving deep into streaming SQL — the tech that's making real-time, high-frequency data processing actually possible. For everyone who joined live (and those catching up later), here's what we explored: ⚡ Our recipe for speed: → Process only new data (skip costly full scans) → Keep data hot in memory (no I/O bottlenecks) → Supercharge queries with hybrid indexing ✅ The numbers? We're talking 1,000 mixed operations per second with just 7ms from start to finish. That's the kind of speed that lets companies react to market changes, sensor data, or customer behavior in real-time. 👍 Huge thanks to everyone who joined and brought such sharp questions — the Q&A was a highlight. 🔜 Next session: JIT-accelerated computation — you’ll want this on your calendar. 🌐 More info: https://dolphindb.com/ #RealTimeComputing #StreamingSQL #BigData #TechTalk #DataEngineering #JIT #FinTech #IoT #SmartManufacturing

📈 Markets move faster. Risks evolve faster. Your infrastructure should, too. That’s why a top global brokerage reengineered its risk system with #DolphinDB Shark, our high-performance CPU-GPU hybrid platform — and the results speak volumes. ⚡ Snowball option pricing: up to 100x faster ⚡ Monte Carlo simulations: 4.2s → 20ms ⚡ Multi-counterparty exposure: 1h → 40s In a market where milliseconds matter, they turned from end-of-day batch jobs to real-time intraday insights — accelerating risk analytics, simplifying architecture, and staying ahead of volatility. 👉 See how they did it: https://lnkd.in/g4WsS7yD 📩 info@dolphindb.com 🌐 https://dolphindb.com/ #RiskManagement #RiskAnalytics #HFT #Fintech #GPUComputing #QuantFinance #RealTimeAnalytics #CUDA