DolphinDB
The world's fastest distributed time-series database
Published Sep 29, 2026
| Starting Price | Not publicly listed (appears sales-led / trial-based) | Published cloud pricing: entry tiers vary by plan | Typically enterprise-priced; public pricing often not transparent |
| Best For | Unified time-series storage, analytics, and streaming; particularly targeted at quantitative finance and high-frequency time-series | Teams seeking PostgreSQL ecosystem compatibility, managed cloud, and transparent cloud pricing | Finance/HFT-centric stacks with q language and long adoption history |
| Key Strength | Integrated streaming and in-database analytics; finance-oriented features and migration tooling from kdb+ | PostgreSQL compatibility, large ecosystem, managed cloud options, documented compliance on certain tiers | Proven in market data plants and HFT workflows; entrenched in many financial firms |
| Key Weakness | Smaller public review footprint; less transparent pricing; security/compliance posture not clearly published | Some advanced enterprise features gated by higher plans; PostgreSQL limits for extreme workloads | q language is niche; expensive; potential vendor lock-in concerns |
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Where DolphinDB appears to provide value (per vendor materials and partner ecosystem):
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