Bigeye
Bigeye focuses on data observability within the data engineering and science industry. The company offers services such as automated data quality monitoring, anomaly detection powered by machine learning, and granular root cause analysis. It primarily serves sectors that heavily rely on data, such as e-commerce and online education. Bigeye was formerly known as Toro Data Labs. It was founded in 2019 and is based in San Francisco, California.
Soda
Soda is a data quality platform focused on data delivery within the data management sector. The company offers services such as anomaly detection and metrics observability, and the establishment of data contracts to address data quality issues. Soda primarily serves sectors that require data governance and quality assurance, including financial technology, computer software, banking, media & entertainment, and retail. It was founded in 2018 and is based in Brussels, Belgium.
Validio
Validio provides automated data quality and observability within the data management sector. The services include detection of anomalies in data, lineage analysis for issue resolution, and insights into data asset utilization. Validio serves sectors that require data monitoring and management solutions, such as financial services, asset management, gaming, and travel. It was founded in 2019 and is based in Stockholm, Sweden.
Sifflet
Sifflet offers a data observability platform that provides tools for data cataloging, quality monitoring, lineage tracking, anomaly detection, and predictive analytics. Its solutions are intended for data leaders, engineers, and users, focusing on collaboration and decision-making in data environments. It was founded in 2021 and is based in Paris, France.
Lightup
Lightup is a company that provides data quality and observability solutions for AI and analytics applications. The company offers a platform that includes features such as AI anomaly detection, data reconciliation, and remediation, aimed at addressing data quality needs. Lightup's solutions support both structured and unstructured data and are compatible with cloud, hybrid, and on-premises environments. It was founded in 2019 and is based in Mountain View, California.
Elementary Data
Elementary is a company that focuses on data observability in the technology sector. The company offers services that monitor data pipelines, detect data issues, and provide data lineage, all within a user's dbt project. Their primary market is the data analytics and engineering industry. It is based in Tel Aviv-Yafo, Israel.
Pantomath
Pantomath offers data observability and traceability for data pipelines within the technology sector. It offers a platform that provides observability, operational monitoring, data quality assessment, and incident management to support data operations. Its solutions aim to provide data reliability and assist organizations in managing complex data environments. It was founded in 2022 and is based in Cincinnati, Ohio.
Telmai
Telmai operates within the data management and analytics industry focuses on artificial intelligence (AI) based data quality and observability. The company provides a platform for data quality monitoring, anomaly detection, and incident management that does not require coding. Telmai's services integrate with open architecture and various cloud storage solutions, allowing for workflows in data health analysis and security. It was founded in 2020 and is based in San Francisco, California.
Datafold
Datafold provides data engineering solutions, including automated data migrations, code testing, and quality monitoring within the data sector. The company offers services for data platform migrations, validates code changes, and monitors data quality through testing. It serves data engineering teams, offering tools that integrate with various data platforms. It was founded in 2020 and is based in New York, New York.
Collibra
Collibra offers data intelligence and solutions in the data management and artificial intelligence (AI) governance sectors. It provides a platform for data cataloging, governance, quality monitoring, and privacy automation to help organizations manage and trust their data. Collibra's platform serves various sectors, including the public sector, financial services, healthcare, insurance, life sciences, and retail, by enabling data-driven decision-making and compliance. It was founded in 2008 and is based in New York, New York.
Acceldata
Acceldata specializes in enterprise data observability and provides tools for monitoring and optimizing data quality, pipelines, infrastructure, and user interactions. The solutions support various sectors, including financial services, manufacturing, retail, and life sciences, with a focus on AI-driven operations and multi-cloud environments. It was founded in 2018 and is based in Campbell, California.
Monte Carlo
Monte Carlo operates in the data observability sector, offering a platform that focuses on data reliability and artificial intelligence (AI). Its main services include detecting data anomalies, triaging incidents, resolving root causes, measuring data quality, and optimizing cost and performance for data systems. It works with various sectors such as financial services, healthcare, technology, advertising, media, entertainment, retail, consumer packaged goods, and startups. It was founded in 2019 and is based in San Francisco, California.