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 pipeline metadata such as cost, query volume, and popularity. Monitor and optimize the health of your pipelines, processes, and data infrastructure as a whole.
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.
Bring data observability into your catalog and keep a pulse on data quality. Set monitors and detect anomalies to prevent surprise bills.
Secoda integrates with your entire stack to help detect issues all the way from data sources, across transformations, to BI layers.
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.”
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.
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.
Yes, Secoda has the ability to connect with tools like Okta and Active Directory to manage your permissions from your RBAC tools. This way, you can confidently share Secoda knowing that the right people are seeing the right information.
Secoda integrations with Snowflake, Big Query, Redshift, Databricks, Postgres, Oracle, Microsoft SQL, MySQL and S3. For more information about our integration, you can visit our integration docs.
Secoda integrations with Tableau, Looker, Metabase, Redash, Mode, Sigma, Power BI and Google Data Studio. For more information about our integration, you can visit our integration docs.
Yes, Secoda works with both dbt Cloud and Core. Secoda is able to take the information from your YAML file and present it in your data discovery platform. In addition, Secoda also brings in dbt tests, tags, metrics and column level lineage into Secoda.
Secoda automates column and table level data lineage. In additional, Secoda also brings in tests, events and ETL into data lineage. All of Secoda's lineage is automated, but users can also manually contribute to lineage using Secoda's API.
Yes, Secoda integrates with Git and provides a version control for all changes made in Secoda in Git. This allows data teams to have a version of all metadata changes in Github or Gitlab and roll back changes if needed. In addition, data teams are able to merge changes to a metadata and review changes to their workspace in Git using Secoda.
Secoda does not pull in your data. Instead, Secoda pulls in metadata about your data. For a majority of the integrations connected to Secoda, this means Secoda pulls in resource names, popularity, lineage, queries, descriptions and frequent usage. For more information about our integration, you can visit our integration docs.