Metaplane

Metaplane

A data observability platform.

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DateInvestorsAmountRound
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Acquisition
Total Funding000k

Financials

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Revenues, earnings & profits over time
USD20222023
Revenues00000000
% growth-31 %
EBITDA00000000
Profit00000000
EV00000000
EV / revenue00.0x00.0x
EV / EBITDA00.0x00.0x
R&D budget00000000

Source: Dealroom estimates

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More about Metaplane
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Metaplane is a startup focused on data observability, a crucial aspect of data management that ensures the accuracy and reliability of data within an organization. The company operates in the data quality and analytics market, serving clients who rely heavily on data for their operations, such as businesses using data warehouses, transformation tools, and business intelligence platforms. These clients include enterprises across various industries that need to maintain high data quality to make informed decisions.

Metaplane's core service is continuous monitoring of data flows within a company's data stack. This involves tracking metrics, metadata (data about data), lineage (data origin and movement), and logs (records of data activities). By using anomaly detection models trained on historical data, Metaplane identifies and alerts users to potential data issues before they become significant problems. This proactive approach helps organizations maintain trust in their data, ensuring that stakeholders are not the first to notice discrepancies.

The business model of Metaplane is likely subscription-based, where clients pay for ongoing access to their data observability tools. This model provides a steady revenue stream and allows clients to benefit from continuous improvements and updates to the service. Metaplane makes money by offering different pricing tiers based on the volume of data monitored and the complexity of the client's data environment.

In summary, Metaplane is a data observability company that helps organizations maintain high data quality by monitoring data flows and alerting users to potential issues. It serves businesses that rely on data for decision-making, operates in the data quality and analytics market, and uses a subscription-based business model to generate revenue.

Keywords: data observability, data quality, anomaly detection, data monitoring, data stack, data lineage, metadata, data logs, subscription model, business intelligence.

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