CnosDB vs LinDB
CnosDB
cnosdb.com
LinDB
lindb.ioSide by side
| Figure | CnosDB | LinDB |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | Yes | — |
| Open source | — | — |
| Web | — | Yes |
| Windows | — | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 1 |
| Spec score · Time-Series Databases | 8.5 (#6) | 8.7 (#5) |
| API | The REST API documents endpoints for writing data and executing SQL requests. | LinDB provides a version 1 HTTP REST API under /api/v1/* for insert, query, and state operations. |
| Deployment | The installation guide provides a Docker command for running the community image. | The documentation describes standalone and cluster modes, and deployment as a binary with ETCD as its external dependency. |
| Integrations | The ecosystem integration page lists LangChain, Grafana, Jaeger, Kafka, Prometheus, Telegraf, TensorFlow, and Vector. | The documentation says data ingestion currently supports FlatBuffers, Protocol Buffers, and InfluxDB protocols. |
| Product | CnosDB is an open-source distributed time-series database designed for high performance, compression, and ease of use. | LinDB is an open-source, cloud-native, horizontally scalable distributed time-series database. |
| Security | The configuration documentation provides optional TLS certificate and private key settings. | The introduction lists self-governance and defensive capability against malicious users as features. |
| Use cases | The stated application areas include IoT, industrial internet, connected vehicles, and IT operations. | The documentation describes LinDB for IoT and IT operations monitoring, including metric storage and analysis for IaaS, PaaS, SaaS, and application layers. |
Plans
In their own words
CnosDB
CnosDB is an open-source distributed time-series database for workloads such as IoT, industrial internet, connected vehicles, and IT operations. It supports standard SQL, time-based aggregation, and a DataFrame API. Data can be written without a predefined schema, including out of order, and historical data can be replenished. Ingestion methods include SQL, Line Protocol, OpenTSDB, Elasticsearch bulk, Loki, NDJSON, and OpenTelemetry. Deployment options include standalone, distributed, and storage-compute separated modes, on public, private, or hybrid clouds. The documentation describes horizontal scaling for storage and stateless compute nodes. Integrations include Grafana, Prometheus, Telegraf, JDBC, and a Python SDK; the open-source Python connector provides a PEP 249 interface for SQLAlchemy and pandas. Import and export formats include PARQUET, CSV, and JSON with AWS S3, Google Cloud Storage, and Azure Blob Storage. CnosDB documents retention policies, multi-tenancy, and role-based permissions, as well as optional TLS certificate and private-key settings. Community Edition is free under AGPL-3.0.
LinDB
LinDB is an open-source distributed time-series database for IoT and IT operations monitoring. It stores and analyzes metrics across IaaS, PaaS, SaaS and application layers, using a schema-free model of metrics, tags and fields. LinQL provides SQL-like syntax for queries and cluster or database operations; data can be inserted and queried through an HTTP REST API, client connections and an admin console. Ingestion supports FlatBuffers, Protocol Buffers and InfluxDB protocols, with Go and Java client libraries listed. The system separates computation from storage and identifies ETCD as its only external dependency. It supports replicas, horizontal scaling, operation across multiple IDCs, and automatic minute, hour and day rollups. Deployment documentation covers standalone and cluster modes, with packages for Linux, Windows and macOS and a Docker guide for Linux. LinDB is free under Apache 2.0. Its data scope is limited to numeric time series with accuracy up to the second; it is not suited to text records or finer time precision.