Monte Carlo Releases Data Observability Platform
Dec. 2, 2020 — Monte Carlo, a data observability company, today announced the launch of the Monte Carlo Data Observability Platform, an end-to-end solution to prevent broken data pipelines. Monte Carlo’s solution delivers the power of data observability, giving data engineering and analytics teams the ability to solve the costly problem of data downtime.
As businesses increasingly rely on data to drive better decision making and maintain their competitive edge, it’s mission-critical that this data is accurate and trustworthy. Today, companies spend upwards of $15 million annually tackling data downtime, in other words, periods of time where data is missing, broken, or otherwise erroneous, and 1 in 5 companies have lost a customer due to incomplete or inaccurate data. As the number of data sources and complexity of data pipelines increase, data issues are an all-too-common reality, distracting data engineers, data scientists, and data analysts from working on projects that actually move the needle.
In the same way that New Relic, DataDog, and other Application Performance Management (APM) solutions ensure reliable software and keep application downtime at bay, Data Observability solves the costly problem of unreliable data.
Introducing the Monte Carlo Data Observability Platform
Our category-creating Data Observability platform is an end-to-end solution for your data stack that monitors and alerts for data issues across your data warehouses, data lakes, ETL, and business intelligence. The platform uses machine learning to infer and learn your data, proactively identify data issues, assess its impact, and notify those who need to know. By automatically and immediately identifying the root cause of an issue, teams can easily collaborate and resolve problems faster.
“The fastest thing that can destroy an executive’s trust in data is for it to be wrong — we make sure that doesn’t happen,” said Barr Moses, CEO and co-founder of Monte Carlo. “Over the last few years, businesses have moved from hoarding data to putting it to work for them. In my conversations with hundreds of data professionals I was struck by the fact that organizations were investing millions of dollars and strategic energy in data, but the people at the front lines couldn’t use it or didn’t trust it. With Monte Carlo’s Data Observability Platform, data teams can unlock the potential of their data and finally trust it to deliver value for their companies.”
The Monte Carlo Data Observability platform delivers:
- End-to-end observability into all of your data assets. Monte Carlo connects to your existing data stack, providing visibility into the health of your cloud warehouses, lakes, ETL, and business intelligence tools.
- ML-powered incident monitoring and resolution. Monte Carlo automatically learns about data environments using historical patterns and intelligently monitors for abnormal behavior, triggering alerts when pipelines break or anomalies emerge. No configuration or threshold setting required.
- Security-first architecture that scales with your stack. Designed by security industry veterans, the platform intelligently maps your company’s data assets while at-rest without requiring the extraction of data from your environment and scalability to any data size. Monte Carlo never stores or processes your data – full stop.
- Automated data catalog and metadata management. Real-time lineage and centralized data cataloguing provide a single pane-of-glass view that allows teams to better understand the accessibility, location, health, and ownership of their data assets, as well as adhere to strict data governance requirements.
- No-code onboarding. Code-free implementation for out-of-the-box coverage with your existing data stack and seamless collaboration with your teammates.
In September 2020, Monte Carlo announced $16 million in funding from leading venture capital firms including Accel and GGV, as well as DJ Patil, the former Chief Data Scientist of the U.S., and Eli Collins, the former Chief Technologist at Cloudera.
The Monte Carlo Data Observability Platform is currently available for qualified organizations. For more information, attend our Data Observability Meetup on December 2, 2020 at 9:00 p.m. EST/6:00 p.m. PST!
Companies Pioneering the Data Observability Category with Monte Carlo
“Snowflake is committed to helping companies unlock the true value of their data and analytics through the Data Cloud,” said Benoit Dageville, Snowflake Co-founder and President of Products. “As companies leverage more and more data sources and cloud data ecosystems scale to meet the demands of the enterprise, it’s important that data is reliable and accurate at all times. We’re excited to empower Monte Carlo to achieve their innovative vision for end-to-end data observability with Snowflake’s single, integrated platform and give their teams the ability to trust their data across the entire data engineering life cycle.”
“Looker gives teams self-served insights into their analytics through powerful data experiences that deliver actionable business outcomes. As part of this vision, we are excited to have an integration with Monte Carlo to ensure that the data fueling these insights is accurate and reliable,” said Shohei Narron, Technology Partner Manager at Looker, the business intelligence and analytics platform from Google Cloud. “Through Monte Carlo’s new Looker integration, mutual customers can now trace field-level lineage all the way down to Looks, Explores, Reports, and Dashboards, facilitating greater visibility into the health of their data pipelines and the insights those pipelines deliver.”
About Monte Carlo
As businesses increasingly rely on data to drive better decision making, it’s mission-critical that this data is accurate and reliable. Billed by Forbes as the New Relic for data teams and backed by Accel and GGV, Monte Carlo solves the costly problem of broken data through their fully automated, end-to-end data observability platform.
Source: Monte Carlo