Open-source Sumo Logic alternatives

SigNoz is an observability platform, open source and built on OpenTelemetry. It aims to replace a fragmented monitoring stack with a single place for logs, metrics, traces, alerts, exceptions and dashboards, and it presents itself as useful for both engineering teams and their AI agents.

The APM view follows how each service performs, covering latency, error rate, throughput, Apdex, the busiest endpoints, and calls to databases and external services. Log management supports ingesting, searching and correlating logs with traces and metrics through a visual query builder. Dashboards can be built with a query builder, PromQL or ClickHouse SQL, infrastructure monitoring covers Kubernetes clusters, pods, nodes and host resources, and LLM and AI observability traces prompts, tool calls, tokens, latency and cost.

You can choose how to run it. SigNoz Cloud is fully managed, with a 30-day free trial and usage-based pricing that starts at $49. Enterprise options cover cloud, bring-your-own-cloud and self-hosted deployments with extra support and controls. The free Community edition runs in your own infrastructure via Docker, Kubernetes or Linux. The repository license is listed as 'Other' on GitHub.

Loki is a log aggregation system from Grafana, described as Prometheus for logs. It is horizontally scalable, highly available and multi-tenant. Instead of indexing the contents of log lines, it indexes a set of labels for each log stream and stores the compressed log text, which the project says makes it simpler to operate and cheaper to run. It is written in Go and released under the AGPL-3.0 license.

Because Loki reuses the labels familiar from Prometheus, you can move between metrics and logs using the same label sets, and it has native support in Grafana. It works especially well for Kubernetes pod logs, since metadata such as pod labels is scraped and indexed automatically. A typical stack has three parts: Alloy as the collection agent, Loki for storage and queries, and Grafana for exploration. Alloy replaces Promtail, which is considered feature complete. Unlike Prometheus, Loki receives logs by push.

OpenObserve, often shortened to O2, is open-source observability software spanning logs, metrics, traces and analytics, real user monitoring on web, Android and iOS, session replay, pipelines, SLOs and AI and LLM observability. It is pitched as a lower-cost option next to Datadog, Splunk and Elasticsearch for teams that want complete observability without the complexity or price.

Its architecture uses Parquet columnar storage and an S3-native design, which the project says can cut storage costs by up to 140 times compared with Elasticsearch, with petabyte-scale capacity. Topics reference OpenTelemetry, Prometheus, Jaeger and Kibana, showing the standards and tools it interoperates with. The README has sections on architecture, comparisons, production readiness, security and compliance, and an enterprise edition.

OpenObserve is AGPL-3.0 licensed, with a hosted cloud option and a self-hosted deployment, and documentation and a Slack community are provided. It suits engineering teams looking to consolidate logging, metrics and tracing in one tool while keeping storage costs under control.

Kibana is the user interface that sits on top of Elasticsearch. It lets people query, analyze, visualize and manage the data stored there, turning indexes into charts, metrics views and dashboards. It is part of the Elastic Stack and is commonly used for log analysis, observability and general analytics work.

Teams build visualizations and assemble them into shared dashboards, explore documents with search, and use the interface to manage parts of an Elasticsearch deployment. The project advises running Kibana and Elasticsearch at the same version, with major versions required to match, because mismatches can cause problems and support may ask for an upgrade first.

The code is written in TypeScript. The repository lists its license as 'Other' rather than a standard SPDX identifier, so the license files should be read for the exact terms. Kibana can be downloaded and run on your own infrastructure, and Elastic also offers a hosted version through its Cloud service.

Quickwit is an open-source, cloud-native search engine designed for observability, covering log management and distributed tracing, with metrics support listed on the roadmap. It is written in Rust, builds on the Tantivy search library, and is meant to search large volumes of data kept in cheap object storage.

It provides full-text search and aggregation queries, schemaless or strict-schema indexing, and a RESTful API that is compatible with a large subset of the Elasticsearch and OpenSearch APIs, so existing clients can often be reused. It is native to Jaeger and OpenTelemetry, works as a Grafana data source and can ingest from Kafka, Kinesis and Pulsar. Compute and storage are decoupled, with stateless indexers and searchers, and data can sit on Amazon S3, Azure Blob Storage or Google Cloud Storage.

Operational features include multi-tenancy with many indexes, partitioning, retention policies and delete tasks for GDPR use cases, and a Helm chart for Kubernetes. Quickwit is licensed under Apache-2.0 and you run it yourself. It suits teams looking for lower-cost log and trace storage with a familiar search API.

HyperDX is an open-source observability platform for working out why production is broken. It brings logs, metrics, traces, errors and session replays into one place, and works as a search and visualization layer on top of ClickHouse and OpenTelemetry, which the authors compare to Kibana for ClickHouse. It is a core component of ClickStack.

It is schema agnostic and can sit on top of an existing ClickHouse schema. Searching uses full-text and property syntax such as level:err, with SQL as an option, events can be compared with event deltas, high-cardinality events can be charted on dashboards, and alerts can be set up in a few clicks. Live tail shows the newest logs and traces, JSON strings can be queried natively, OpenTelemetry works out of the box, and APM views cover HTTP requests down to database queries.

One deployment option is ClickStack, a bundle of ClickHouse, HyperDX, an OpenTelemetry Collector and MongoDB, and HyperDX can instead be pointed at your own ClickHouse instance. It can also be used with ClickHouse Cloud. The project is MIT licensed and written in TypeScript.

Graylog is a log management server written in Java and described by its maintainers as free and open. It centralizes log data from many systems so teams can search, view and analyze events in one place instead of connecting to each machine individually.

The repository topics point to support for common log formats and transports, including GELF and syslog, along with Kafka and AMQP inputs. Topics also place the project in log analysis, log collection, secure logging and SIEM territory, which reflects its use for monitoring and security work. Specific features were not available when this entry was written, because the vendor website could not be read.

Security Onion is a no-cost, open Linux distribution built for threat hunting, security monitoring across an enterprise, and log management. It bundles a suite of tools designed to work together so defenders get visibility into both network and host activity from a single platform.

The Security Onion Console is a unified web interface for analyzing events and managing the deployment, with its own tools for alerting, dashboards, hunting, packet capture, detections and case management. Underneath it uses the Elastic Stack for search, Suricata for network intrusion detection, Elastic Fleet for host monitoring, Zeek for network metadata and other tools such as osquery and CyberChef. The installer and configuration are largely shell scripts.

The repository license appears as 'Other' on GitHub. Security Onion is deployed on your own hardware or virtual machines, either standalone or as a distributed grid. It suits security operations centers, incident responders and blue teams that want an integrated, open alternative to commercial monitoring platforms.

OpenSearch Dashboards is the data visualization tool that accompanies OpenSearch. It provides charts, dashboards, and exploration features that help turn indexed data into business intelligence and support data-driven decisions and planning. It is written in TypeScript and released under the Apache-2.0 license.

The project is community-driven and welcomes contributions through issues, feedback, ideas, and code, and the README points to resources for setting up a development environment, the code of conduct, and licensing information. It began as a fork of Kibana, which is why it follows a similar model of visualization over a search and analytics engine.

Dashboards is used together with an OpenSearch cluster and is self-hosted or run through managed services from cloud vendors. It suits operations, security, and analytics teams that already store logs, metrics, and documents in OpenSearch and need a way to search, visualize, and share insights.

ClickVisual is a lightweight, browser-based platform for log analysis and search, built on top of the ClickHouse database. It was created by the team at ShimoDocs and positions itself as a simpler tool for working with logs stored in ClickHouse, in the space where people often reach for Kibana and the ELK stack.

The interface offers a visual query dashboard with a histogram and raw log view, SQL-based querying, and percentage breakdowns for chosen fields. A VS Code style configuration board lets you push Fluent Bit configuration to a Kubernetes ConfigMap. It includes alarm workflows, and the documentation mentions login through GitHub and GitLab.

ClickVisual is written in Go and released under the MIT licence. It can be deployed with kubectl, which the project describes as out of the box, or installed with Docker or directly on a host, and documentation is published on its website. It suits platform and SRE teams that already collect logs into ClickHouse and want a straightforward UI for searching them without heavy infrastructure.