LinDB vs TimechoDB
LinDB
lindb.io
TimechoDB
timecho-global.comSide by side
| Figure | LinDB | TimechoDB |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | — |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Time-Series Databases | 8.7 (#5) | 7.5 (#29) |
| Availability | LinDB supports multiple replicas and is described as able to keep working with only one replica alive. | TimechoDB offers an active-active architecture with a two-node setup for high availability and real-time hot backup. |
| Deployment | The documentation describes standalone and cluster modes, and deployment as a binary with ETCD as its external dependency. | The product supports embedded, edge, and cloud deployments, as well as standalone and distributed modes. |
| Integrations | The documentation says data ingestion currently supports FlatBuffers, Protocol Buffers, and InfluxDB protocols. | The ecosystem guide lists integrations including Kafka, Flink, Spark, Grafana, DataEase, DBeaver, ThingsBoard, Ignition, and Telegraf. |
| Product | LinDB is an open-source, cloud-native, horizontally scalable distributed time-series database. | TimechoDB is an enterprise-grade product based on Apache IoTDB with enhanced performance, expanded features, and customization. |
| Security | The introduction lists self-governance and defensive capability against malicious users as features. | The product page lists audit logs and system whitelisting, while the current user guide documents account, permission, connection, communication, storage, and audit security features. |
| Support | The product page links to GitHub channels for feature requests, bug reports, and questions. | The product page describes professional support with service-level agreements and lists expert support and usage training in its feature comparison. |
Plans
In their own words
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.
TimechoDB
TimechoDB has no write-up on Specifiction yet; its figures are above.