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Open Source Alternatives to

Datadog

2 Alternatives

Prometheus

From metrics to insight

Database

Power your metrics and alerting with Prometheus.

63.2kstars10.2kforks939contributors514issuesLast commit 4d ago
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Read more about Prometheus

Prometheus is an open-source monitoring system and time series database designed to power your metrics and alerting needs. It offers a powerful and flexible platform for collecting and querying time series data, enabling you to gain valuable insights into your systems and applications.

•Dimensional data: Prometheus implements a highly dimensional data model. Time series are identified by a metric name and a set of key-value pairs.
•Powerful queries: PromQL allows slicing and dicing of collected time series data in order to generate ad-hoc graphs, tables, and alerts.
•Great visualization: Prometheus has multiple modes for visualizing data: a built-in expression browser, Grafana integration, and a console template language.
•Efficient storage: Prometheus stores time series in memory and on local disk in an efficient custom format. Scaling is achieved by functional sharding and federation.
•Simple operation: Each server is independent for reliability, relying only on local storage. Written in Go, all binaries are statically linked and easy to deploy.
•Precise alerting: Alerts are defined based on Prometheus's flexible PromQL and maintain dimensional information. An alertmanager handles notifications and silencing.
•Many client libraries: Client libraries allow easy instrumentation of services. Over ten languages are supported already and custom libraries are easy to implement.
•Many integrations: Existing exporters allow bridging of third-party data into Prometheus. Examples include system statistics, as well as Docker, HAProxy, StatsD, and JMX metrics.

Prometheus is 100% open source and community-driven. All components are available under the Apache 2 License on GitHub. It is a Cloud Native Computing Foundation graduated project, ensuring a robust and well-supported ecosystem.

ThingsBoard

Open-source IoT platform

Developer Tools

Device management, data collection, processing, and visualization.

21.4kstars6.2kforks191contributors98issuesLast commit 3d ago
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Read more about ThingsBoard

ThingsBoard is an open-source IoT platform designed for device management, data collection, processing, and visualization. It supports industry-standard IoT protocols such as MQTT, CoAP, and HTTP, and can be deployed both on-premises and in the cloud. The platform is known for its scalability, fault-tolerance, and high performance, ensuring that you never lose your data.

•Device Management: Register and manage devices, monitor client-side and provision server-side attributes, and send RPC commands.
•Data Collection: Collect and store telemetry data reliably, even during network and hardware failures.
•Data Visualization: Create rich IoT dashboards with over 30 customizable widgets for real-time data visualization and remote device control.
•Rule Engine: Define complex rule chains to process incoming data, trigger alarms, and integrate with external systems.
•Multi-tenancy: Support for multi-tenant installations, allowing multiple administrators and millions of devices and customers.
•Security: Transport encryption for MQTT and HTTP(s) protocols, device authentication, and credentials management.
•Customization: Extend platform functionality with customizable rule chains, widgets, and transport implementations.
•Fault-tolerance: Identical server nodes with automatic failure detection and replacement, ensuring no downtime.
•Horizontal Scalability: Linear increase in supported requests and devices as new servers are added in clustering mode.
•Microservices Architecture: Maximum scalability and fault-tolerance with microservices, also supports monolithic deployment for smaller environments.

ThingsBoard provides a comprehensive solution for various IoT use cases, including smart energy, smart farming, fleet tracking, smart metering, environment monitoring, smart office, water metering, and smart retail. Its open-source nature, licensed under Apache License 2.0, allows for free use in commercial products, and it can be hosted as a SaaS or PaaS solution.