Open Source Alternatives to Sharkeye

Nomic AI builds tools to make AI explainable and accessible, focusing on data curation and visualization.

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

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

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

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

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

An open-source AI-powered SQL agent for natural language database interaction and data insights.

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

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

The Google of code search for open-source.

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

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

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

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

Self-service analytics on data lakes with data warehouse functionality and data lake flexibility.

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

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

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

An open-source, column-oriented OLAP database management system for real-time analytics.

Open-source business intelligence and embedded analytics platform.