In March 2026, DB-Engines — a globally recognized authority on database rankings — released its latest category rankings. DolphinDB entered the global Top 5 for Time-Series Databases (TSDB) and the global Top 8 for Vector Databases (VectorDB), underscoring its standing as a world-class database platform.
First Time in Top 5 — A New Milestone in the Time-Series Domain
As a globally recognized authoritative ranking in the database field, DB-Engines' rankings are highly valuable for reference. Its scoring system covers multiple core dimensions, including database community activity, enterprise adoption rate, technology update frequency, and global search popularity. The rules are transparent and the data objective, making it an important reference for global developers and enterprises when selecting databases, often referred to as the "bellwether of the database industry."
Entering the Top 5 is a meaningful milestone, reflecting the growing recognition of DolphinDB's technical depth and market credibility on the global stage.
DolphinDB has built a strong and enduring position in the time-series database space, competing directly with established players such as InfluxDB and Kdb+. It serves nearly 200 leading enterprises — including CITIC Securities, Yangtze Power, and BYD — as the preferred platform for mission-critical scenarios across finance, energy, and manufacturing. With a native distributed architecture, millisecond-level query performance, and unified stream-batch computing at its core, DolphinDB is one of the platforms proven to handle both high-frequency financial trading and trillion-record industrial workloads with consistent stability.
A Strong Showing in the Global Overall Rankings
Across the full field of 389 databases, DolphinDB ranked 66th globally. The result speaks to DolphinDB's multi-model depth and its ability to serve a wide range of demanding scenarios at a world-class level.
Global Top 8 in Vector Databases — Backed by Multi-Model Depth
In the Vector Database (VectorDB) ranking, DolphinDB ranked 8th globally, demonstrating robust competitiveness. This ranking not only recognizes its vector processing capabilities but further confirms its comprehensive strength in adapting to multiple scenarios.
As a multi-model database, DolphinDB is not a single-type database but integrates multiple data models including time-series, vector, and relational models. It can efficiently handle various scenario requirements such as time-series data streams, vector retrieval, and structured queries without the need to deploy multiple separate database systems, significantly reducing enterprise data management costs and perfectly adapting to today's diverse data application scenarios.
This performance across multiple rankings is a testament to DolphinDB's continued technological innovation. Looking ahead, DolphinDB remains committed to deepening its investment in core database technologies — delivering better products and services, and pushing the boundaries of what a modern data infrastructure platform can achieve on the global stage.
About DolphinDB
DolphinDB is a high-performance distributed time-series database. Beyond efficient storage and querying of massive datasets, DolphinDB pioneers a fully featured programming language for complex analytics, alongside a high-throughput, low-latency, and developer-friendly stream processing framework — making it one of the most computationally powerful database systems available. DolphinDB is widely adopted by leading financial institutions across securities, fund management, banking, and insurance, as well as top enterprises in IoT-driven industries including energy, power, and industrial manufacturing — significantly enhancing large-scale data analysis efficiency and substantially reducing development costs.