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What is Soda?

Soda assists in the management of data operations by detecting problems and notifying the appropriate personnel. With its automated and self-serve monitoring features, no data or individual is overlooked. By offering comprehensive observability across your data workloads, you can proactively address potential issues. Furthermore, data teams can identify problems that may escape automation's notice. The self-service functionalities ensure extensive coverage is maintained for data monitoring needs. Timely alerts are sent to the relevant individuals, enabling business teams to diagnose, prioritize, and resolve data challenges effectively. Importantly, your data remains securely within your private cloud, as Soda monitors it at the source while only storing metadata within your cloud environment. This way, Soda provides a robust solution for ensuring the integrity and reliability of your data operations.

What is Digna?

digna is a next-generation data quality and observability platform designed to help organizations build trust in their data, detect issues early, and understand how their data behaves over time. As data environments grow in complexity, traditional monitoring approaches are no longer enough. digna goes beyond static checks and dashboards by combining observability with analytics, enabling teams to not only detect anomalies but also interpret patterns, trends, and changes in data behavior. Comprehensive Data Observability Across Your Entire Platform digna is built as a modular platform with five independent components that can be deployed together or separately, depending on your needs: * Data Anomalies — Detect unexpected changes in data volumes, distributions, and behavior using AI-driven anomaly detection without manual rules * Data Analytics — Understand trends, patterns, and seasonality through built-in time-series analysis * Data Timeliness — Monitor data delivery and ensure pipelines meet expected arrival times * Data Validation — Enforce data quality rules and compliance with flexible, scalable validation logic * Data Schema Tracker — Detect schema changes in real time to prevent pipeline failures and downstream issues Together, these modules provide full visibility into both data quality and business data behavior. Key Advantages * In-database processing ensures data never leaves your environment, supporting privacy, security, and regulatory compliance * AI-driven anomaly detection eliminates the need for manually defined rules * Built-in analytics capabilities enable teams to understand data trends and behavior without external tools * Scalable validation framework supports consistent data quality across complex data environments * Schema change tracking protects pipelines from breaking changes Designed for Modern Data Platforms digna integrates seamlessly with leading data platforms including Snowflake, Databricks, Teradata, and more.

Media

Media

Integrations Supported

Snowflake
1Sol
Alation
Amazon Redshift
Apache Airflow
Azure Synapse Analytics
Collibra
DataOps.live
Databricks
Google Cloud BigQuery
Kestra
Metaphor
STRM
Slack

Integrations Supported

Snowflake
IBM Netezza Performance Server
MariaDB
MySQL
PostgreSQL Maestro
SAP HANA
SQL Server

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
On-Prem

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Online Training

Company Facts

Organization Name

Soda

Date Founded

2018

Company Location

Belgium

Company Website

www.soda.io

Company Facts

Organization Name

digna GmbH

Date Founded

2019

Company Location

Austria

Company Website

www.digna.ai

Categories and Features

Data Contract

Not specified

Data Management

Not specified

Data Observability

Not specified

Categories and Features

AI Data Analytics

Not specified

AI Tools

Not specified

Anomaly Detection

Not specified

Data Management

Not specified

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

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