Open Source Alternatives to OpenObserve

Commercializes the open-source Grafana observability platform with AI features.

A unified data analytics and AI platform built on the lakehouse architecture.

Logz.io provides an observability platform for cloud-native businesses, combining open-source tools for monitoring and security.

Open-source business intelligence and embedded analytics platform.

Full-stack observability platform built on open standards for unifying telemetry and accelerating troubleshooting.

Cloud data warehouse for building next-gen analytics experiences with sub-second performance, designed for engineers and AI agents.

Elementary Data provides a unified data control plane for the AI era, offering observability, quality, governance, and discovery for data and AI reliability.

An open-source orchestration platform for unifying data pipelines, AI workflows, and business processes.

A managed, private, and production-grade environment for OpenClaw, offering access to over 500 AI models and essential tools.

Open-source platform for programmatically authoring, scheduling, and monitoring data pipelines.

Together AI offers an AI-native cloud platform providing high-performance inference APIs, GPU clusters, and fine-tuning capabilities for open-source AI models.

An open-source TypeScript/JavaScript framework for building AI agents, from the creators of Gatsby.

ScyllaDB is a high-performance, low-latency NoSQL database for data-intensive applications, designed to scale with modern infrastructure.

Open-source data science platform for enterprise teams, enabling collaboration and reproducible results.

Open-source search and analytics engine for data exploration and real-time insights.

Mirantis provides cloud-native infrastructure and AI platforms for enterprises to manage and operate complex environments.

Open-source project for instant distributed tracing and metrics using eBPF and OpenTelemetry.

pgEdge offers distributed PostgreSQL that is optimised for the network edge in order to reduce data latency.

Open-source platform for ML experiment tracking and data versioning.

An open-source feature store for managing and serving data for AI/ML models in production.

A real-time search analytics database unifying search and analytics in a single platform.

An open-source, high-performance DataFrame library for Rust and Python, designed for efficient data manipulation and analysis.

Open-source alert management platform using AI to reduce noise and improve alert actionability for engineers.

Provides enterprise-grade database solutions based on the open-source MariaDB, offering advanced features, security, and scalability.

Cua provides an open-source framework and cloud desktops for AI agents to control operating systems and desktop applications across Linux, Windows, macOS, and Android.

Platform for developers building stateful reactive applications on the modern cloud with object store native databases.

Company

Odigos provides an open-source software solution for developers to enable distributed tracing for their applications using OpenTelemetry and eBPF, accelerating production issue resolution.

A suite of open-source and professional tools for API design, development, documentation, and testing.

ComputeSDK provides an open-source platform for benchmarking cloud infrastructure, including AI gateways, sandboxes, storage, and browsers, and offers a unified SDK for running code in remote sandboxes.

Open-source platform for managing the ML lifecycle, from experimentation to deployment.

Managed cloud data services for developers, including databases, Kafka, and ClickHouse.

Open-source framework for building and documenting APIs with a focus on developer experience.

Container-native virtualization for Kubernetes, enabling VMs and containers to run side-by-side.

High-performance, open-source vector search engine built in Rust for production-grade AI and machine learning workloads.

Open source Firebase alternative with a PostgreSQL backend and real-time capabilities.

An open-source data integration platform for ELT, reverse-ETL, and AI agents.

Fully managed ClickHouse service for real-time analytics on AWS, GCP, and Azure.

Modern infrastructure as code platform enabling developers to manage cloud resources using familiar programming languages.

Cloud Development Environments for efficient and secure team software development.

An open-source AI and machine learning platform for enterprises.

Open-source, end-to-end MLOps platform for enterprise AI development and deployment.

Octopus Deploy provides a unified platform for continuous delivery, automating deployments, runbooks, and operations for modern applications.

Source-available, multi-threaded Redis replacement for modern cloud workloads.

Open-access AI cloud platform providing affordable, on-demand GPUs for training and serving AI models.

Canonical develops and supports Ubuntu, a leading open-source operating system for cloud, servers, and edge devices.

Open-source tool to transform application data into accessible knowledge for AI agents.

An open-source platform for building and deploying AI agents and workflows.

Sponsors of OpenWALDO, a community-driven initiative for open-source AI training data, and provider of enterprise Linux, HPC, and AI infrastructure software.

Cloud-based browser API for AI agents, simplifying web automation with anti-bot protection and session persistence.

Open-source backend-as-a-service platform for building scalable applications.

Creator of InfluxDB, an open-source time series database for managing and analyzing high-volume, high-speed data.

An open-source developer portal for building and managing software.

Open-core company building tools for modern backend engineers to ship faster and better.

Track experiments, validate models, and collaborate with confidence using Skore, the methodology layer for AI coding tools.

Open-source data integration platform for security and infrastructure teams.