Meet the first data management platform to connect data quality, observability, and discovery. Get visibility into the health of your entire stack, and prevent data asset sprawl.
The only platform to give you visibility into data quality issues. Receive and triage alerts via Slack, Teams, JIRA, and other channels you already use and create monitors in one central source.
Set thresholds and be alerted when queries, tables, or dashboards exceed their expected compute costs.
Configure essential monitoring on schemas, tables, and columns. Choose from freshness, cardinality, uniqueness, and more.
Automatically schedule and create thresholds with the ability to track the history of runs and visualize performance.
The only platform to give you visibility into data quality issues. Receive and triage alerts via Slack, Teams, JIRA, and other channels you already use and create monitors in one central source.
Secoda integrates with your entire stack to help detect issues all the way from data sources, across transformations, to BI layers. See data lineage across your entire infrastructure.
Identify the most popular tables and most used resources within your DAG. Automatically surface insights like which tables to deprecate or which resources require maintenance.
Before getting stuck with an outsized bill, get insights into costly pipelines and assets where costs are created. Secoda will suggest methods to reduce and manage your compute costs.
When a threshold is breached, notifications can be received via app, Slack, or email. Immediately see details like status and a list of resources related to the incident created from your DAG
"With Secoda, we can see all of our metadata in one place and build a single source of truth to enable self-serve analytics. These are huge time savings.”
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Technical Director, Data Systems
Secoda is SOC 2 Type 1 and 2 compliant. The way we process and store client data is secure and protected, based on standards set by the AICPA.
You can host Secoda in a self-hosted environment, behind your own VPN, and in your own VPC. Deploy via Terraform or Docker.
Sign in with the services you already use, including Google and Microsoft SSO, Okta, MFA and SAML
Securely move data from your private databases to Secoda with SSH tunneling.
Get control to remove or leave out sensitive datasets from your syncs or mark it automatically in Secoda.
Data managed with Secoda is fully encrypted in transit and at rest. We do not see the data we are moving.
Data observability is a process and set of practices that aim to help data teams understand the overall health of the data in their organization's data systems. Data observability provides the context needed for organizations to proactively identify data errors, pipeline issues, and locate the source of inconsistencies to strengthen data quality over time. It allows enterprises to fix issues in complex data scenarios and identify situations before they have a huge impact on the business.
The process of metadata monitoring typically involves collecting and analyzing metadata from sources across your organization, such as databases, data warehouses, data pipelines and more. With greater visibility into your metadata, you can better understand it and more easily search and find the data you need.
Data observability tools feature automated monitoring, root cause analysis, data lineage, and other features to proactively detect data issues. It is the ability to understand, diagnose, and manage data health across multiple IT tools throughout the data lifecycle.
The implementation of data observability and data monitoring offers several benefits, including improved data quality, more efficient data management, enhanced system reliability, and proactive issue identification.
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