The 12 closest competitors and alternatives to Anomalo among data & analytics companies — ranked by similarity to what Anomalo actually does, not by market-cap band.
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Anomalo is a U.S.-based data quality company that provides automated monitoring and anomaly detection for data tables and pipelines. Its platform helps data engineering, analytics, and machine-learning teams identify issues such as unexpected changes, missing data, and schema problems in modern data environments.
Anomalo is a data & analytics company headquartered in United States. It has raised at least $72M across the 3 funding rounds on record. Its most recent funding round, Series B, raised $33M in January 2024.
At least $72M raised across the 3 rounds on record. Every round on record:
| Date | Round | Amount | Investors |
|---|---|---|---|
| Series B | $33M | 5 named | |
| — | $33M | 5 named | |
| — | $6M | 5 named |
Who invested in each round, lead investors, valuations and the co-investor graph — open the full funding history →
Ranked by semantic similarity — how close each company is to Anomalo by what it does, using Xcout's live company graph. Click any company for its full profile, or its competitor set.
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Qualytics is a data quality and observability company that helps organizations automatically profile data, detect anomalies, and monitor data quality across their data environments. Its platform is aimed at data engineering, analytics, and governance teams that need more reliable enterprise data.
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Monte Carlo Data, Inc. is a company headquartered in San Francisco, United States, specializing in data quality software. It provides a platform to monitor, troubleshoot, and improve AI systems in production with an intelligent orchestration system.
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DQC, also known as the Data Quality Company, develops data quality management software and tooling designed to find, fix, and prevent data issues to improve enterprise data accuracy. The company's platform helps organizations prepare their data for artificial intelligence applications and avoid data errors.
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Sifflet is a data observability platform that helps organizations monitor data quality, pipeline health, lineage, and dependencies across their data stack. It serves data engineering, analytics, and platform teams at companies that need to detect and troubleshoot data reliability issues.
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Monte Carlo provides an agent trust and observability platform that helps enterprises monitor, troubleshoot, and improve production AI systems and data pipelines. Its software offers end-to-end visibility across data and agentic estates to ensure reliability for data engineers, scientists, and enterprise leaders.
Similar data & analytics company
Revefi is a data operations and observability company that helps organizations monitor data pipelines, detect data-quality issues, and identify root causes of failures. Its platform is aimed at enterprise data and analytics teams responsible for reliable data warehouses and business reporting.
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Cribl, Inc. is a technology company that provides an AI platform for telemetry, helping organizations manage, process, and analyze IT and security data. The company offers software solutions designed to give users control over their observability data pipelines.
Data Analytics
Rockset is a U.S.-based cloud data platform that provides real-time analytics and search over operational and streaming data. It serves developers, data engineers, and businesses needing low-latency SQL queries and applications built on continuously updated data.
Data Quality & Analytics
Recce Solutions Ltd provides an AI-powered data review agent that integrates into pull request workflows for data engineers and analytics teams. The platform automates schema and data diffs, row count checks, and downstream impact analysis to help users catch data issues before code is merged.
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Ataccama provides a data management and data trust platform that offers tools for data quality, data cataloging, lineage, observability, and master data management. The platform helps enterprise organizations in industries such as financial services and insurance ensure data accuracy, maintain compliance, and prepare their data for AI initiatives.
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Validio is a Stockholm-based technology company founded in 2019. It offers a next-generation data platform designed for data lakes, warehouses, and real-time streams.
Similar data & analytics company
Secoda provides an AI-powered platform for data and analytics that helps data teams manage metadata, data catalogs, lineage, governance, and monitoring. The software connects to various data sources to automate workflows, ensure compliance, and deliver context-aware insights for data engineers, analysts, and business operations.
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