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Release 2026.04 — Time-Series Analytics & Scalable Data Validation

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Release 2026.04 — Time-Series Analytics & Scalable Data Validation

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Release 2026.04 — Time-Series Analytics & Scalable Data Validation

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Connect digna Seamlessly With Your Existing

Data Stack

Cloud or On‑Prem? We support both.

How to Connect to Different Databases

digna is designed to plug directly into your ecosystem — with no data movement, no vendor lock-in, and full compatibility with your cloud or on-premise infrastructure.

Whether you work in Snowflake, Databricks, or Teradata, digna runs in-database and scales effortlessly across your environment.

All Integrations

Databases

Single Sign On

Alerting

TimescaleDB

Teradata

Snowflake

SAP HANA

PostgreSQL

Oracle

Netezza

Apache Hive

Apache Impala

Databricks

MariaDB

MS SQL Server

MySQL

Microsoft Entra ID

Open ID

SAML

Google

Jira Software

Zapier

Webhooks

Microsoft Teams

Slack

Email

TimescaleDB

Teradata

Snowflake

SAP HANA

PostgreSQL

Oracle

Netezza

Apache Hive

Apache Impala

Databricks

MariaDB

MS SQL Server

MySQL

Microsoft Entra ID

Open ID

SAML

Google

Jira Software

Zapier

Webhooks

Microsoft Teams

Slack

Email

"Installed, connected to our Netezza DB, and inspecting data - all within two hours."

- Vojkan Radak, Data Warehouse Product Manager, ITSV

FAQs

How do I integrate digna with my existing data stack?

Can I integrate digna in my workload / ETL Processes?

Does digna need access to my raw data?

Does digna work with Snowflake/Databricks?

Is digna suitable for monitoring data across various cloud data warehouses?

Can I deploy Modern Data Quality tools with On-premise installation?

How quick is the setup process for digna?

Can non-technical users operate digna effectively?

Can digna work with multiple data sources?

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