CnosDB vs Gnocchi
CnosDB
cnosdb.com
Gnocchi
gnocchi.osci.ioSide by side
| Figure | CnosDB | Gnocchi |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | Yes | — |
| Open source | — | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 0 |
| Spec score · Time-Series Databases | 8.5 (#6) | 7.7 (#21) |
| Architecture | CnosDB supports standalone and distributed deployment, including storage-compute separation and integration. | Its API and metric processing services are stateless and can be scaled horizontally by running additional daemons or API endpoints. |
| Deployment | The installation guide provides a Docker command for running the community image. | Gnocchi can be installed with pip, from source, using Docker, or using OpenShift. |
| Installation | The installation guide shows Docker installation and directs Ubuntu and Debian users to install through apt; it says to contact CnosDB for the Enterprise package. | Gnocchi can be installed using pip, from source, or using Docker; the documentation also describes an OpenShift installation option. |
| Integrations | The ecosystem integration page lists LangChain, Grafana, Jaeger, Kafka, Prometheus, Telegraf, TensorFlow, and Vector. | The documentation lists support for Grafana, Prometheus Remote Write, Nagios/Icinga, StatsD, Collectd, InfluxDB line protocol, and AMQP 1.0. |
| Product | CnosDB is an open-source distributed time-series database designed for high performance, compression, and ease of use. | Gnocchi is an open-source time series database for storing and indexing time series data and resources at large scale. |
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.