As modern businesses continue to rely heavily on accurate, timely, and high-quality data for informed decision-making, a growing number of data quality tools have emerged, promising to monitor, analyze, alert, and even clean data across various platforms. However, there’s a catch: many of these traditional data quality tools export your data from their native environment to external systems for analysis. This approach not only consumes valuable time but also poses significant risks and increases costs.

At digna, we believe there’s a better way. We take a fundamentally different approach: “In-Database Data Analysis”. Our platform works within your data infrastructure, minimizing the need to export and move data around. Instead of shifting data out of the database, we analyze it directly at the source and export only the necessary metrics, ensuring data integrity and saving both time and costs.

Let’s explore why this approach is not only more efficient but also more secure and cost-effective.

The Hidden Costs of Export-based Data Analysis

Many data quality tools require you to extract large volumes of data from your database before running their analysis. While this might seem straightforward, it introduces several inefficiencies and risks:

Time-Consuming Process

Exporting data from a database can take significant time, especially when dealing with large datasets. The process of exporting, transferring, and re-importing data can slow down workflows, impacting productivity across teams. For businesses that rely on real-time data, these delays can lead to missed opportunities and sluggish decision-making.

Increased Infrastructure Costs

Exporting data comes with hidden costs. Moving data out of your database requires additional infrastructure to store and process it externally. These data movements often increase bandwidth and storage expenses, adding a financial burden to your organization. The bigger your datasets, the higher the costs.

Security and Compliance Risks

When data leaves its original environment, it becomes vulnerable. External systems and platforms introduce new attack surfaces, increasing the risk of breaches and non-compliance with data privacy regulations. Exporting data puts you at greater risk of unauthorized access or loss, as your data passes through different systems and environments.

Data Inconsistencies

Extracting and moving data between platforms can lead to inconsistencies or errors during the transfer process. Data discrepancies between the original source and the external analysis platform can compromise the accuracy of your insights and decision-making, defeating the entire purpose of data quality management.

The digna Difference: In-Database Data Quality Platform

At digna, we’ve flipped the traditional model on its head. Our platform performs data quality analysis directly within your database. This means your data stays where it belongs—safe, secure, and efficient. With compatibility with any preferred database base you want including Databricks, Oracle, Microsoft SQL Server, Teradata, Snowflake, Netezza, SAPHANA, MySQL, PostgreSQL, Timescale, MariaDB, Apache Impala, we export only the necessary metrics for reporting, reducing overhead and allowing you to retain full control of your data.

Here’s how our in-database approach helps you stay ahead:

Faster, Real-Time Analysis

By analyzing data directly in the database, digna avoids the time-consuming process of data export. We profile your data continuously with our Autometrics feature, capturing key metrics for real-time analysis. This ensures you get insights as the data is updated—no delays, no extra steps.

Lower Infrastructure Costs

Since digna analyzes data without needing to extract it from the database, your infrastructure costs stay low. Our solution eliminates the need for additional storage or processing power, keeping your operations lean and efficient.

Enhanced Data Security

With digna, your data stays in your database. Our in-database approach minimizes exposure to external systems, keeping your data secure from breaches and third-party risks. We understand how crucial security is in today’s regulatory environment, and we’re committed to safeguarding your data at every step.

Consistency and Accuracy

By maintaining data integrity within the database, digna reduces the risk of discrepancies caused by external data movement. You’re always working with the most accurate, up-to-date information, enabling confident and informed decision-making.

Experience the Power of In-Database Data Quality Analysis

The traditional method of exporting data for quality checks is becoming a practice of the past. With digna, you can perform comprehensive data quality checks directly in your database, ensuring faster insights, reduced costs, and enhanced security. Our advanced features are designed to give you peace of mind and control over your data.

Ready to save time, cut costs, and protect your data? Book a demo with digna today. Discover how our in-database data quality solution can streamline your processes and deliver superior results with real-time anomaly detection and automated insights.

Experience the power of keeping your data secure and analytics sharp, all without ever leaving your database. Say goodbye to the complexities of data export and hello to streamlined, in-database data quality management with digna.