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Soda

Soda

Overview

What is Soda?

Soda Data is a data reliability and quality platform that creates observability so data teams can find, analyze, and resolve data issues. Soda aims to make it easy to detect, diagnose, and resolve data issues across the entire data product…

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Recent Reviews

TrustRadius Insights

Soda is a versatile software that helps users address a range of business problems related to data quality and analysis. By writing …
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Pricing

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What is Soda?

Soda Data is a data reliability and quality platform that creates observability so data teams can find, analyze, and resolve data issues. Soda aims to make it easy to detect, diagnose, and resolve data issues across the entire data product lifecycle. Usin the practice of data reliability…

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  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting/Integration Services

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Product Details

What is Soda?

Soda Data is a data reliability and quality platform that creates observability so data teams can find, analyze, and resolve data issues. Soda aims to make it easy to detect, diagnose, and resolve data issues across the entire data product lifecycle. Usin the practice of data reliability engineering as code, it helps users to create coverage, eliminate data downtime, and make data available 24/7.

Soda Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo
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Comparisons

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Reviews

Community Insights

TrustRadius Insights are summaries of user sentiment data from TrustRadius reviews and, when necessary, 3rd-party data sources. Have feedback on this content? Let us know!

Soda is a versatile software that helps users address a range of business problems related to data quality and analysis. By writing automated data quality checks, analysts can have peace of mind knowing their data assets are accurate and reliable. This not only saves time but also resolves data quality issues faster, allowing for smoother workflows. Executives can also gain a better understanding of their data by identifying the most common issues affecting it, enabling them to make informed decisions based on reliable information.

Another key use case of Soda is in the field of machine learning. The software allows for tracking and detecting model drift, ensuring that models are always up-to-date and producing accurate results. Integration with other tools is seamless, making it easier for users to tackle data quality problems and identify any potential issues.

Soda also supports collaboration between different personas such as engineers and analysts, enabling them to contribute to data quality checks. By implementing automatic checks that assess data quality every morning, analysts can kickstart their analytics promptly without worrying about the reliability of the data. Additionally, Soda's high-level data quality dashboard facilitates conversations between business and technology teams, creating a shared understanding of data issues.

Furthermore, Soda provides capabilities for organizations to ensure the quality of their data through data analysis, availability, and exploration. Users can verify data access rights, monitor pipelines, detect vulnerabilities, and inaccuracies in real-time, thus preventing costly mistakes and improving overall accuracy and reliability.

Overall, Soda empowers businesses to enhance their data quality efforts by offering robust monitoring and validation tools that catch errors or inconsistencies as soon as they occur. With its profiling and visualization features, users can gain deeper insights into their data and make more informed decisions. The platform also promotes trust and confidence in data products and services by helping teams define and align on data quality expectations. Whether it's addressing specific data challenges or implementing comprehensive data quality strategies across domains, Soda provides valuable solutions for organizations striving to maintain high-quality data.

Integrations with popular tools: Many users have praised SODA for its seamless integrations with Slack, Snowflake, and Jira, allowing for easy connectivity and collaboration. This feature has been described as beneficial by multiple reviewers.

Comprehensive suite of data quality tools: Reviewers have expressed their satisfaction with SODA's built-in metrics, such as anomaly checks and distribution checks. These features provide a comprehensive suite of tools for tracking data quality, which has impressed many users.

User-friendly interface and syntax: Several users have commended SODA for its user-friendly interface and syntax. They appreciate that the tool is not limited to just data engineers but can be easily understood and implemented by a wide range of personas.

  1. Documentation for versioning: Some users have expressed the need for improved documentation to easily identify changes and customize their code, as they feel that the current documentation is lacking in this aspect.

  2. Bugs and instabilities: Several users have encountered bugs and instabilities throughout different parts of the software, which can be problematic for newcomers who are trying to learn and utilize Soda effectively.

  3. User interface usability: Users have mentioned that although the user interface is generally good, there is still room for improvement in terms of enhancing the overall user experience and making it more intuitive and user-friendly.

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