Acceldata provides enterprise-scale data observability covering data quality, pipeline reliability, and compute optimization across multi-cloud data environments.
Platforms for monitoring the health and performance of ETL data pipelines.
Acceldata provides enterprise-scale data observability covering data quality, pipeline reliability, and compute optimization across multi-cloud data environments.
DataOps suite for ETL testing, data quality, and BI validation across enterprise pipelines.
Heroku is a cloud platform as a service (PaaS) that enables developers to build, run, and scale applications without managing infrastructure.
Bolt.new is an AI-powered, browser-based development platform that lets users describe apps in natural language and instantly build, run, and deploy full-stack applications without local set...
MongoDB is a document database platform offering a flexible JSON-like data model for modern application development, available as self-managed or fully managed Atlas.
StepSecurity provides security tools for GitHub Actions workflows, including runtime security monitoring, network policy enforcement, and supply chain protection for CI/CD pipelines.
Checkly is a monitoring-as-code platform for API monitoring and end-to-end testing that integrates with CI/CD pipelines to detect issues before they affect users.
Prefect is a workflow orchestration platform for data engineering that provides scheduling, monitoring, and management of complex data pipelines with Python-native task definitions.
CyberArk is the leader in privileged access management and identity security, protecting the most critical enterprise credentials and secrets across on-premise and cloud environments.
Hevo Data is a no-code data pipeline platform for ETL and reverse ETL that automates data movement between 150+ sources and destinations.
Sifflet provides a full-stack data quality and observability platform with automated monitoring, schema tracking, and data lineage for modern data teams.
Monte Carlo provides data observability that monitors data quality, freshness, volume, and schema changes across the data stack to detect and resolve data issues.
Data observability platform for Google BigQuery with pipeline monitoring and anomaly detection.
Data quality and compliance monitoring platform