DolphinDB vs InfluxDB

DolphinDB is a real-time analytics and stream-processing platform built around a high-performance time-series database. Its storage engines cover time-series databases, OLAP and in-memory OLTP workloads, with more than 1,500 built-in analytical functions and more than 10 streaming engines. Batch and stream processing can use the same metric expression. Programming options include imperative, vectorized, functional and SQL paradigms. The distributed system supports horizontal scaling, load balancing, fault tolerance, distributed transactions and high availability across data nodes, controllers, streaming and API clients. Deployment options include cloud, on-premise and hybrid environments. Listed use cases span finance, energy, power, transportation, industrial manufacturing and scientific research. The Community Edition has a free perpetual license, limited to two nodes, each with two CPU cores and 8 GB RAM. A free Enterprise Trial supports high-availability clusters and includes expert technical support. Related components include Swordfish for embedded use, Shark for GPU workloads, Starfish for quantitative research workflows and Octopus for complex event processing. The product is available through API, extension, Linux, self-hosted, web and Windows options.

InfluxDB 3 is a time series database and platform for high-frequency data recorded with timestamps. It supports native SQL and InfluxQL queries, plus a built-in Python processing engine. Data can enter through line protocol, an HTTP API, client libraries, Telegraf or the influxdb3 CLI. More than 400 pre-built Telegraf plugins and official libraries for Python, JavaScript, Go, Java and C# connect it to data sources. InfluxDB stores data as compressed Parquet files in object storage with S3 API compatibility. Deployment choices include open-source single-node Core, self-managed Enterprise, managed Cloud Serverless and Cloud Dedicated, and Amazon Timestream for InfluxDB. InfluxData describes uses in industrial operations, observability and AI applications needing real-time data. Core is intended for development, prototyping and edge deployments, but lacks high availability and enterprise security. Cloud Serverless has a free option with service quotas and no high availability, plus $250 free credit. Core has community support; Enterprise and Cloud Dedicated include a technical support SLA.