# Soda Reviews **Vendor:** Soda **Category:** [Data Observability Software](https://www.g2.com/categories/data-observability) **Average Rating:** 4.4/5.0 **Total Reviews:** 55 ## About Soda Most companies struggle to operationalize data governance and quality. Business teams don’t want to manually enforce rules, and engineers get buried in pipeline issues — eroding trust in data and slowing innovation. Soda fixes this with the only end-to-end data quality platform that automates the entire workflow — from detection to resolution — with AI built for data quality. We meet users where they are: - Engineers manage everything as code in Git. - Business users create and review data contracts in a collaborative interface. - Together, they work in a shared, AI-powered workflow to define quality expectations, monitor metrics, and isolate and remediate bad data directly in their environment. By uniting teams, automating with AI, and securing trust at the source, Soda helps organizations like Disney, Nubank, and HelloFresh restore confidence in their data and decisions. Why Soda? - Best AI for Data Quality — purpose-built, faster, and more accurate, with 70% fewer false positives than traditional monitoring. - Unite Business and Engineering — collaborative data contracts that bridge governance and technical workflows. - Securely Isolate and Fix Bad Data — record-level anomaly detection and remediation inside your own environment. Soda brings width and depth to data quality — from every dataset across multiple warehouses to every individual record in a dataset. Join us in building a world where teams trust their data, decisions, and AI. ## Soda Pros & Cons **What users like:** - Users appreciate the **streamlined data quality tasks** of Soda, enhancing team alignment and real-time insights. (2 reviews) - Users value the **direct support via Slack** from the Soda team, ensuring quick and reliable responses to queries. (1 reviews) - Users appreciate the **customization options** of Soda, enabling tailored data quality tests and flexible implementation choices. (1 reviews) - Users appreciate the **clean and intuitive interface** of Soda, facilitating efficient data management and team alignment. (1 reviews) - Users value the **ease of use** of Soda, enabling quick access to information and efficient data management. (1 reviews) - Users value Soda's **flexibility** , enabling custom data quality tests and smooth integration with other tools for dynamic use. (1 reviews) - Insights (1 reviews) - Slack Integration (1 reviews) - User Interface (1 reviews) **What users dislike:** - Users find Soda's **limited functionality** frustrating, as advanced features feel underutilized or irrelevant to their tasks. (2 reviews) - Users feel that **limited access control** restricts the effective use of advanced features, hindering productivity for project managers. (1 reviews) - Users find **access issues** frustrating, as some advanced features remain underutilized for project managers with limited access. (1 reviews) - Users feel that Soda lacks **automated data quality testing** , making integration and data management more challenging. (1 reviews) - Users find the **limited features** of Soda inadequate for project management, lacking tailored tools for their specific needs. (1 reviews) ## Soda Reviews ### 1. A Handy Tool for Project Managers with Limited Usage **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Consulting | Enterprise (> 1000 emp.) **Reviewed Date:** October 21, 2024 **What do you like best about Soda?** Soda offers a clean and intuitive interface that makes it easy for me to quickly access the information I need as a project manager. I appreciate how it streamlines data quality tasks and provides real-time insights, which helps keep the team aligned on data integrity. Even as a limited user, I find the tool effective in supporting quality-related data management needs. **What do you dislike about Soda?** As a project manager with limited access, some advanced features feel underutilized or not entirely relevant to my daily tasks. It would be great if there were more simplified, role-specific views or tools for project managers who may not need full access to all functionalities." **What problems is Soda solving and how is that benefiting you?** Soda helps ensure data quality and accuracy, which is crucial for keeping our projects on track. By catching potential data issues early, it prevents delays and ensures that the team works with reliable information. As a project manager, this gives me confidence in our reports and reduces the risk of unexpected problems later in the project. ### 2. Flexible Data Quality Testing **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** October 07, 2024 **What do you like best about Soda?** Soda has multiple offerings, including an open source implementation, which allows customers to use the tool and the underlying technology without going straight to purchasing a license. The tool is very flexible and dynamic as you can write your own data quality tests, but also supports many common tests out of box. **What do you dislike about Soda?** Soda's paid offerings could be more turnkey in the sense of automated data quality testing, including integrating some more Machine Learning based Data Quality tests that are dynamic in nature. **What problems is Soda solving and how is that benefiting you?** We have been able to recommend Soda to customers looking for lightweight data quality testing tools that still provide some quality of life improvements over free alternatives. Soda has been able to improve the time to recovery for support operations as it alerts on quality issues (silent errors) and provides all the information required to coduct an RCA. ### 3. Preferred choice for Data quality & contracts **Rating:** 5.0/5.0 stars **Reviewed by:** Rahul S. | Principal Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 27, 2024 **What do you like best about Soda?** 1. It is very easy to write Soda data contracts & quality tests in YAML format. This will be a significant productivity booster, especially for non-developers. 2. No heavy software installation or extensive configuration was required while integrating Soda core with our Airflow based data pipelines, making it faster to get started. 3. We easily integrated with various source and target systems for our data pipelines, like: Salesforce, Snowflake, S3, BigQuery. 4. Soda Data Contracts allowed us to formalize expectations between data producers and consumers, ensuring data quality across pipelines. 5. Soda helped us to catch data issues in real-time, which is essential in environments where data accuracy is critical. This feature is integrated with PagerDuty, providing timely notifications to on-call support team. 6. Soda provided us built-in anomaly detection, helping identify data issues that might not be captured by predefined checks, thus adding a layer of robustness to data quality efforts. 7. Soda Core is free and open-source, making it accessible for teams that want to implement data quality checks without incurring additional costs. 8. Community support: We encountered a bug while writing data quality tests. When we reported to Soda community Slack, the issue was quickly investigated, acknowledged & a bug was created. We were really happy with the quick action. 9. Our data quality checks run frequently on a daily basis as being part of a DAG in Airflow. **What do you dislike about Soda?** 1. No integration with Data Hub (open source tool for Data observability) 2. The bug that we encountered in Soda core was quite intuitive and should have not existed in first place. 3. While Soda Core is free, the more advanced features require a commercial license. 4. With Soda offerings, we have a huge risk of vendor lock-in. **What problems is Soda solving and how is that benefiting you?** Data contracts & data quality (governance). We would like it to integrate with Data hub, after which we can use it for Data observability as well. ### 4. Soda a unique data quality testing platform within and beyond data pipelines **Rating:** 5.0/5.0 stars **Reviewed by:** Ashish M. | Data Quality Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** March 01, 2024 **What do you like best about Soda?** Soda is one of the best quality platform avilable for performing high quality data assertions. I have been looking for some easy to use, comprenhensive and easily integratible solution in my organization as i am a data quality engineer and the variety and data quality is topmost for the customers which we serve.Some of the appreciable features Soda i have found while working with is ease of integration with yaml format, querible data assertions tests, reliable data profiling along with quality and scope with multiple integration channels like teams and others. It has extensive freshness checks with a simple grammer for even a business user to understand and implement quickly.We are also planning to integrate soda cloud features and using the soda capabilities to govern data products quality and observability. **What do you dislike about Soda?** Not any such, but it would be more extensive if some of the tests escape due to wrong information such as invalid coulmns then rest can be carried upon. **What problems is Soda solving and how is that benefiting you?** We come across a lot of datasets and data products in solving business problems on day to day basis .Soda has unique data quality assetions checks which we found useful. One of the usecase we found that its possible to extend multiple data depot sources quality with soda. Other problem is around data profiling with multiple metrices which are inherited in soda profiling checks. We have to run data quality checks multiple times and consistently to check variness of data over time where soda is really helpful. **Official Response from Janet Revell:** > Terrific! Thanks for your feedback. I'm glad to hear Soda working well for you so far. ### 5. Very easy to use **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Retail | Enterprise (> 1000 emp.) **Reviewed Date:** August 28, 2024 **What do you like best about Soda?** The best part about Soda is the ease of use of the tool. Once datasets are connected, its easy to plug in any checks or contracts that the business would want. It is very user friendly and easy to follow, making it fool proof for any business user, no matter the tech level. Soda also allows for a full range of collaboration. It takes questions out of emails and allows users to be in discussions around the quality of their data in the platform. **What do you dislike about Soda?** The collaboration and notes on checks. I think Soda would benefit from having a description field on the check to allow users to have context on what a check is for without opening up the check. **What problems is Soda solving and how is that benefiting you?** Soda is streamlining our data quality process and awareness. ### 6. Soda Data Quality and Reconciliation **Rating:** 4.5/5.0 stars **Reviewed by:** Rajmani A. | Computer Scientist 2, Mid-Market (51-1000 emp.) **Reviewed Date:** August 27, 2024 **What do you like best about Soda?** Soda is an impressive tool for maintaining data quality, offering a straightforward yet powerful approach to monitoring and ensuring the integrity of data. I liked Soda Checks Language (SodaCL). It's very powerful in defining threshold and metrics and performing validation with no-code. **What do you dislike about Soda?** Supports of search datasource like elasticsearch/opensearch was not supported. Guide for adding new datasource documentation would be very helpful. **What problems is Soda solving and how is that benefiting you?** Soda is solving challenges with data quality and integrity when present in a single source or even moving among multiple sources. ### 7. Soda: The Best and Flexible DQT (Data Quality tool) **Rating:** 3.5/5.0 stars **Reviewed by:** Gaurav M. | Data Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** August 07, 2024 **What do you like best about Soda?** I really like the flexible yaml configuration that soda provide to configure dqt checks. Also I find it's easy and smooth integration with other data tools like airflow(for orchestration) , databricks etc. that make it's integration and adoption very fast **What do you dislike about Soda?** Nothing as of now, sometime there is slight delay in support over slack community `soda-core` channel **What problems is Soda solving and how is that benefiting you?** Since our company data tech stack is already on databricks and airflow, we were able to integrate soda in our existing framework very fast and provide necessary data quality check that warns us beforehand only before publishing org wise reports. In a short time, Soda checks generates a good value in our org. ### 8. Soda.io - Excellent Data Quality Tool **Rating:** 5.0/5.0 stars **Reviewed by:** Juan Manuel L. | BI Consultant, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** February 29, 2024 **What do you like best about Soda?** One of the advantages that the tool offers is its flexibility to incorporate quality checks in the data. This allows the company's decision-making process to be improved. In addition, among other advantages we can mention its ease of use, even for non-technical users. We can also say that the platform facilitates collaboration between different team members. **What do you dislike about Soda?** Soda's main difficulty is its learning curve. Although it has a relatively user-friendly interface, users new to the area of ​​data analysis have difficulty understanding data quality checks, among other things, which makes the degree of success obtained during learning is not adequate. **What problems is Soda solving and how is that benefiting you?** Mainly, Soda is a tool for solving business problems related to data quality. With this tool, quality problems can be solved, such as automating missing value checks, saving time and resources. It also allows you to improve the decision-making process by having reliable data. **Official Response from Janet Revell:** > Thanks for your feedback, Juan Manuel. It's really helpful to hear your experience starting out and that it could be tricky for users new to the data quality space. We are, as we speak, working on making that learning curve less steep. Thanks! ### 9. Excellent response to queries and issues **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Food Production | Enterprise (> 1000 emp.) **Reviewed Date:** October 07, 2024 **What do you like best about Soda?** The Soda team's willingness to provide support to us via Slack has been a boon. Interacting directly with the Soda product team in the tool we already use internally means we get high quality responses to our questions. **What do you dislike about Soda?** There is nothing I particularly dislike about Soda. Disliking software is a strange thing to do. **What problems is Soda solving and how is that benefiting you?** Validating data ### 10. Interesting but hard to integrate in Dagster **Rating:** 3.0/5.0 stars **Reviewed by:** Mihai S. | Founder / CTO, Small-Business (50 or fewer emp.) **Reviewed Date:** June 17, 2024 **What do you like best about Soda?** The documentation is good in regards to metrics and some of the metrics are interesting and new to us. We can learn a lot from them. **What do you dislike about Soda?** It is hard to integrate soda-core with dagster. Both, especially so Dagster changed a lot during the last year and finding up to date documentation is difficult. As integration is the first step I suggest creating more complete integration samples for popular pipeline tools + databases. Soda is a cool name but if you try searching for Soda on google you will immediately understand why it isn't a great one. **What problems is Soda solving and how is that benefiting you?** We integrate a lot of datasources, this makes it harder sometimes to write proper tests. ### 11. Just what we needed for validations **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** June 04, 2024 **What do you like best about Soda?** It seems to have everything we needed when looking for a better more experessive validations tool. When we sat down and brainstormed what we wanted we wrote up some thoughts and desires. When we started doing research and found Soda, it was essentially what we had dreamt up. **What do you dislike about Soda?** So far there isn't too much to dislike about Soda. Some of the documentation is a bit hard to follow at times, but after spending a few days with it the team has finally gotten the hang out it. **What problems is Soda solving and how is that benefiting you?** We wanted a more expressive way to build validations into our data pipeline and have them be built in a more customizable manner that could be read from an object as opposed to being core to the definition of the schema. ### 12. Soda simple framework for data quality with support for many platforms **Rating:** 4.5/5.0 stars **Reviewed by:** Peter F. | Data Scientist, Mid-Market (51-1000 emp.) **Reviewed Date:** June 05, 2024 **What do you like best about Soda?** The support for databricks as it enables be to do dat quality on any type og dataset **What do you dislike about Soda?** The cloud offer is Michael to expensive. **What problems is Soda solving and how is that benefiting you?** It enables my team to write complex data quality checks in an easy to read YAML syntax and execute the checks in any workflow in Databricks. **Official Response from Natasha Lauer:** > Peter, thank you for your review. It's great to hear the success your team is having with Soda for your Databricks workflow. We do have various pricing models for Soda Cloud - if you'd like to learn more, please don't hesitate to get in touch with me: tash@soda.io ### 13. Data Engineer **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** March 12, 2024 **What do you like best about Soda?** Soda helps users to do validations without need to write the queries which is the easiest way to play the SQL queries. The integrated platform of soda helps data producers and consumers. It has numbers to data sources available such as Snowflake, BigQuery, Amazon Athena or more. The way it is documented is very easy to understand and helps users to play with the data. Soda is definitely a good Data Quality tool. The best part about the Soda is The Soda Agent which containerised Soda Library that deploys in a Kubernetes cluster in cloud devices provider environment such as Azure of AWS. Features- Easy to understand Highly responsive Anomaly detection environment Ease of integration Data Quality Checks & Scheduled checks Multiple data source available **What do you dislike about Soda?** There are some limitations about Soda like users need to add additional configuration to the data sources in order to see the preview of the dataset. Soda doesn't performed operations like median and mode. **What problems is Soda solving and how is that benefiting you?** Soda has some amazing features like freshness foundational data quality check(data freshness), Anomalies Detection, Detect Missing data, Generate checks with AI, Automation for RCA which benefitted us to during the validation. It prioritise the data quality rules and data quality monitoring. **Official Response from Janet Revell:** > Thanks for sharing your feedback! ### 14. Good for complex quality assertions, great comunnity and easy to use **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Financial Services | Mid-Market (51-1000 emp.) **Reviewed Date:** February 28, 2024 **What do you like best about Soda?** Soda is a very flexible and customizable tool for quality assertions. We use it to validate the integrity of our data lake. Other tools suchs as dbt tests are good for modeld data but are more limited compared to soda that can be very customizable. **What do you dislike about Soda?** It was a little bit complex in the beggining to integrate with our spark infrastructure but after the first integration was finished the new ones were easier to do. The main issue was due to python libraries conflicts that took some time to solve. **What problems is Soda solving and how is that benefiting you?** Soda solves our data quality issues and helps us identify when there are issues in our data pipeline suchs as new deploys that might have broken the data transformation. We use it to extract metrics from our transactional databases and compare them with our delta lake to be sure that data has been replicated correctly. ### 15. Great Tool **Rating:** 3.5/5.0 stars **Reviewed by:** Rishabh J. | Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 27, 2024 **What do you like best about Soda?** Nice interactive platform with ease to access **What do you dislike about Soda?** Could add more functions to the platform **What problems is Soda solving and how is that benefiting you?** Improving data quality ### 16. Great tool for simplified testing **Rating:** 4.5/5.0 stars **Reviewed by:** Jordan T. | Architect, Mid-Market (51-1000 emp.) **Reviewed Date:** July 03, 2024 **What do you like best about Soda?** High level markup of DBT tests that would often take me many lines of code to write **What do you dislike about Soda?** Lake of an observability feature on Core. Lack of ability to do impact testing/obtain an impact report **What problems is Soda solving and how is that benefiting you?** Simplified DBT Testing **Official Response from Natasha Lauer:** > Thank you, Jordan - it's great to hear that we're lightening the load. Check out Soda Cloud for our out-of-the-box anomaly dashboards for data observability. And keep an eye on our releases for what's coming next. Feature requests can be posted in our Community; please do share: soda-community.slack.com ### 17. Soda makes Data Quality easy to implement and execute with good end-user engagement **Rating:** 5.0/5.0 stars **Reviewed by:** Rune L. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 30, 2023 **What do you like best about Soda?** Soda Cloud is a nice and user-friendly interface to both interact with our data and ensure data quality. The Agreements is a big hit for us! It will take a lot of Jira-work out of the picture, and let us focus on quick-to-implement data quality. **What do you dislike about Soda?** The SodaCL will be a bit of a learning curve for some of our business end-users to start implementing their own data quality. But from the experience we have now, the learning curve is quite managable. We would also like to see the Agreements be more collaborative. Make it easy for Stakeholders to see what changes have been made when they have to re-approve an Agreement. **What problems is Soda solving and how is that benefiting you?** We want to improve end-user engagement with data quality implementation. We want to move away from data quality being a data engineer-specific area to being much more of a busuess-user area, as they know the data they are working with. **Official Response from Natasha Lauer:** > Thank you, Rune - we're so pleased on the benefits you and the team are getting from Soda! ### 18. Soda.io is an essential part of our Data Strategy **Rating:** 5.0/5.0 stars **Reviewed by:** Mauricio d. | Enterprise (> 1000 emp.) **Reviewed Date:** October 03, 2023 **What do you like best about Soda?** The ease of implementing Soda.io was essential for us to promote a data quality culture within our company. We have a wide range of teams and datasets, and before Soda.io, there was no standardized, consistent, and scalable way to implement data quality scans. Soda allowed us to empower the business units to define and implement their own quality metrics, which boosted our data quality strategy in the company. Furthermore, the solution has been evolving rapidly over the past few years, delivering very useful new features. The observability power of Soda.io has given us a better understanding of our data quality, and now we can react quickly in case of any incidents. Another highly positive feature of Soda.io is its API integration capability and its ability to seamlessly integrate with a variety of technologies within the modern data stack, which is essential for our needs. **What do you dislike about Soda?** Despite the ease of implementation of Soda.io by our data engineering teams, less technical teams may still encounter some challenges in creating data quality scans. However, these difficulties have been decreasing with each new feature. The way datasets and tables are organized in the web interface (Soda Cloud) could be improved. For instance, the creation of groups or namespaces to group datasets and tables within the same context. **What problems is Soda solving and how is that benefiting you?** Soda is helping us scale our data quality strategy, empowering users to create and mantain their own data quality scans. It helps us to quickly identify and react whenever a key data pipeline breaks (which may affect, data accuray, freshness, completness, etc). As result we can keep a good control of data downtime metrics. **Official Response from Natasha Lauer:** > Thank you for your thoughtful and fantastic review, Mauricio! ### 19. Soda.io - A Game Changer for Data Quality and Governance **Rating:** 5.0/5.0 stars **Reviewed by:** Walace M. | Enterprise (> 1000 emp.) **Reviewed Date:** October 02, 2023 **What do you like best about Soda?** Soda.io has been a revelation for our data quality and governance needs. Our organization deals with vast amounts of data, and ensuring its accuracy and consistency is paramount. Soda.io has simplified this process immensely. One of the standout features of Soda.io is its user-friendly interface. Even team members without extensive technical backgrounds can navigate the platform effortlessly. The ability to set up custom data quality rules and checks has made a significant impact on our data workflows. We can identify and rectify data anomalies and errors quickly, which has improved our decision-making processes. **What do you dislike about Soda?** While Soda.io offers a user-friendly interface for basic operations, some of its more advanced features may have a steeper learning curve. Users with limited technical expertise might find it challenging to take full advantage of the platform's capabilities. Soda.io's integration capabilities with other software tools and platforms could be further improved. Users who rely on a variety of software applications may encounter challenges in seamlessly connecting and automating data quality processes. **What problems is Soda solving and how is that benefiting you?** Soda.io can help us to ensure the accuracy, completeness, and consistency of our data. It enables our users to define data quality rules and checks to identify and rectify data anomalies and errors. Soda.io provides real-time monitoring of data quality and issues. It can send alerts and notifications when predefined data quality thresholds are not met, allowing us to respond promptly. **Official Response from Natasha Lauer:** > Thank you for your review, Walace - we couldn't be happier to read the impact Soda is having; that's great news. Our no-code checks release is built for non-technical users: be sure to check it out! ### 20. Good but with some flaws **Rating:** 3.5/5.0 stars **Reviewed by:** Carlos B. | Mid-Market (51-1000 emp.) **Reviewed Date:** May 22, 2023 **What do you like best about Soda?** Ease of creation of validations without the need to write queries. **What do you dislike about Soda?** Many bugs and instabilities in several parts. **What problems is Soda solving and how is that benefiting you?** Data quality monitoring ### 21. Data Quality Monitoring for Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Luis C. | Enterprise (> 1000 emp.) **Reviewed Date:** June 09, 2023 **What do you like best about Soda?** We love the SODA API, SODA integrations with other products, the response time of the SODA team. This allows to make sure that every morning our analysts know the data is good to go for their analytics via a slack integration. With the SODA API, we were able to create a Tableau dashboard so that our leadership team between Business and Technology can have substance conversations when issues do arise. **What do you dislike about Soda?** The stigma that implementing SODA checks is hard. There is a learning curve, but usually when a product do require some learning this usually mean there is some flexibility that goes along with it. **What problems is Soda solving and how is that benefiting you?** 1) SODA allows us to create automatic checks that can detect if the data quality is good to go every morning, so our analysts can hit the ground running when they do their analytics 2) SODA allows the creation of a high-level data quality dashboard for our leadership team to discuss data issues. Usually, a conversation between the Business leadership team and Technology. 3) We use SODA to detect shifts in our data that feed our machine-learning models. This will inform us that we should consider retraining or reevaluating the model. ### 22. SODA for Data Validation is Efficient and Easy **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** August 14, 2023 **What do you like best about Soda?** Soda has a great learning curve. It's easy to understand and the documentation has great details for development. The best part is introducing checks on data sources! It's very easy to introduce verifications using yaml files and scanning tables with provided commands, instead of writing extensive sql. The output is effortles to read and understand. Definitely a wonderful tool for both developers and non-developers working with data. **What do you dislike about Soda?** It is not-so-straightforward to perform data sampling on failing rows during data validation. You would need to implement your own mechanism to keep sensitive data within the network while trying to extract necessary information. Also, the retention for resulting data (from the validation process) has a limit to 90 days; if you need longer retention you would need to engineer your own data storage. **What problems is Soda solving and how is that benefiting you?** We wish to ensure that the data is valid, fresh, matches the expected conditions, and accounts for any schema change. We run a platform for buying/selling ads; precision of data is important for billing and reporting purposes. We lose money if we under-deliver or over-deliver. So, data validation is crucial here as it directly impact revenue. **Official Response from Natasha Lauer:** > Thank you - the impact of data quality on revenue is important to every organization and we're honoured that Soda is solving the problem for you. Please do provide any specific functionality feedback in our Community - it'll help you and your peers. ### 23. Great data quality tool for technically capable teams **Rating:** 4.5/5.0 stars **Reviewed by:** Rob W. | Head of Data Products, Enterprise (> 1000 emp.) **Reviewed Date:** August 14, 2023 **What do you like best about Soda?** Soda forms the backbone of our data quality framework and approach and provides a number of great capabilities: - Everything is code-driven, allows us to version/manage tests easily - Syntax is yml, easy for dbt users to understand how to write tests (and colocate them with dbt code) - Nature of the library (python, open source) has allowed us to extend it easily to make it work WITH our existing tools, not requiring yet another tool to access - Team is absolutely wonderful to work with, lovely people and highly responsive To frame our usage: we have implemented several thousand tests across every part of our data stack and it is used by multiple data engineering, analytics engineering, and analytics teams **What do you dislike about Soda?** - There's more of a learning curve than GUI-driven tools, which has made onboarding less technical users challenging - Some basics that would take advantage of the code-driven architecture (for example, templating org custom tests similar to dbt macros) are still under development. This means we have to write complex SQL tests repeatedly **What problems is Soda solving and how is that benefiting you?** We are using soda to: - Validate data quality end-to-end on our pipelines - Monitor data drift of metrics and customer expectations to proactively catch unexpected change - Automate observability (integrated into datahub) - Encourage our teams to think about data quality when creating new data products **Official Response from Natasha Lauer:** > Thanks for being such a great member of our Community, Rob, and for providing your support. There's a lot coming from development, some based on your excellent feedback. Watch this space! ### 24. Smooth experience with SodaSQL (now Soda Core) **Rating:** 4.5/5.0 stars **Reviewed by:** Stephen O. | Small-Business (50 or fewer emp.) **Reviewed Date:** August 27, 2023 **What do you like best about Soda?** I enjoyed writing checks in an SQL dialect and SodaSQL made it seamless for me to write checks in SQL, review it for potential customers, and made narrowed down their choice for a DQ tool to just two. I loved the docs as well. It was pretty easy to get started, and community members were helpful when I had issues with writing sample custom checks. **What do you dislike about Soda?** I found it helpful a lot, but since I did not use it in production in anyway, so I have not figured out what I do not like yet. I would have said maybe setting it up could have come with a smoother experience, but it's been about a year now, and there is Soda Cloud too, so a lot would definetly have changed. **What problems is Soda solving and how is that benefiting you?** Writing data quality checks. Providing data observability tooling options for my client. **Official Response from Natasha Lauer:** > Thank you for your thoughtful feedback, Stephen. ### 25. All in all Data quality check Framework **Rating:** 4.0/5.0 stars **Reviewed by:** Suman Kalyan S. | Senior Data Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** August 14, 2023 **What do you like best about Soda?** Effortless database coverage and data quality checks, fostering collaboration between Data and Quality Engineers for enhanced data reliability. Seamless integration with Slack, Snowflake, and Jira, combined with comprehensive built-in metrics, ensures effective data quality monitoring and tracking, while the SODA Cloud API facilitates historical check analysis. user-friendly interface, setup process, and compatibility with diverse data sources underscore its adaptability, making it a robust solution for addressing data quality challenges. **What do you dislike about Soda?** Soda.io has been functioning well for me without any issues. Regarding areas for enhancement, there is potential to refine the data check dashboard for improved reporting. **What problems is Soda solving and how is that benefiting you?** - Daily pipeline data quality check and anomaly detection - keeping the data warehouse healthy **Official Response from Natasha Lauer:** > Good to hear, Kumal. Your feedback matters - check out the updated data quality dashboards available in Soda. ### 26. A powerful tool for data quality testing beyond dbt **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** August 18, 2023 **What do you like best about Soda?** We've been playing around with Soda.io for our data quality checks, and I've gotta say, it's pretty cool. It feels like it goes a step beyond what we were doing with dbt tests. It's kind of like giving our data a deeper health check, making sure we catch those sneaky issues that might slip past us otherwise. **What do you dislike about Soda?** It could step up its game in the anomaly detection department. It would be awesome if Soda could be a tad sharper in spotting those oddballs. For example, sudden spikes in events (up or down) compared to historical trends or seasonality would be very useful to get alerted on. **What problems is Soda solving and how is that benefiting you?** After we've run our models dbt test, Soda does additional data quality tests. For example on column and schema checks, freshness, and cross-model data checks. Also being able to add thresholds for warn and error are useful. **Official Response from Natasha Lauer:** > It's great how Soda fits into your data workflow. There's more coming on anomaly detection - check out a recent release on Dimensional Anomaly Tracking. ### 27. Soda one of the best Data Quality frameworks for Structured data **Rating:** 5.0/5.0 stars **Reviewed by:** Juan P. | Enterprise (> 1000 emp.) **Reviewed Date:** August 13, 2023 **What do you like best about Soda?** I'm a big fan of how Soda, dbt tests, and the Soda Agent for AWS come together so seamlessly. Also Soda's custom tests give you the freedom to fine-tune your data quality process with ease. **What do you dislike about Soda?** If you are looking for a Data Quality framework that handles Unstructured data, SODA is not the right option for you, at least at this moment they dont support NoSQL Engines (Example MongoDB, DynamoDB, ElasticSearch...) . **What problems is Soda solving and how is that benefiting you?** Get the highest metrics possible in terms of consistency, integrity and quality in a data lake such as S3 really easily without requiring extra tools. Is just really easy to write tests and easy to maintain. **Official Response from Natasha Lauer:** > Thank you for your support, Juan - it's great to see how you are seamlessly integrating Soda to ensure data quality across your stack! ### 28. Easy to use and functional **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** June 04, 2024 **What do you like best about Soda?** Easy to navigate through documentation Good technical support from the slack community Easy to integrate **What do you dislike about Soda?** Some python libs should be upgraded to python 3.11 **What problems is Soda solving and how is that benefiting you?** Writing data checks for data pipelines, saves time and money **Official Response from Natasha Lauer:** > Thank you for sharing your Soda experience. I'll share the feedback on the Python Library with our product team. Reach out to us in Slack if you need anything else. ### 29. Data Quality tool for DE and QA teams **Rating:** 4.5/5.0 stars **Reviewed by:** Jose S. | Software Engineer in Testing, Mid-Market (51-1000 emp.) **Reviewed Date:** July 26, 2023 **What do you like best about Soda?** Easy method to implement coverage for databases and have good data quality and data health. The options they offer out of the box can help you setup a quick test suite for multiple databases. It's a nice tool to make Data Engineers and Quality Engineers work together for better data. **What do you dislike about Soda?** The UI needs some improvements, and the docs need to be updated more constantly. **What problems is Soda solving and how is that benefiting you?** Separation of unit tests written by Data Engineers in other tools and integration tests by QA in Soda. We opted to use Soda as a QA tool for the transformations and data health in our databases. But always keep the DE team in the loop of our test coverage. **Official Response from Natasha Lauer:** > Thank you for your support and thoughtful feedback, Jose! ### 30. The ease of implementing Soda helped us improving our data quality **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** February 15, 2024 **What do you like best about Soda?** Easiness of integration Ease of use Fast switch to soda cloud Data contract lots of data quality checks Lots of Soda Cloud features **What do you dislike about Soda?** dbt integration could be improved (dbt plugin maybe?) **What problems is Soda solving and how is that benefiting you?** Soda helps us discover data quality issues in the pipelines we build ### 31. Data Quality for ELT **Rating:** 4.0/5.0 stars **Reviewed by:** Sergio S. | Data Engineer, Information Technology and Services, Mid-Market (51-1000 emp.) **Reviewed Date:** August 08, 2023 **What do you like best about Soda?** Soda-Core/Soda-Library is an intuitive tool that is easy to set up and use for data tests. It also comes with user-friendly documentation and a supportive community on Slack. On the other hand, Soda Cloud is designed for business partners to conduct tracking tests, set up custom notifications, and more **What do you dislike about Soda?** Soda-Core started as an open-source library, but currently, Soda is releasing new features within Soda-Library, which is now a private library. **What problems is Soda solving and how is that benefiting you?** Soda specializes in data testing and tracking, particularly within ELT pipelines. It is easy to set up and can be seamlessly integrated with tools like Airflow. **Official Response from Natasha Lauer:** > Thank you for taking the time to provide your review, Sergio! ### 32. Nice and compact quality tooling for certain use cases **Rating:** 4.0/5.0 stars **Reviewed by:** Isak S. | Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** August 10, 2023 **What do you like best about Soda?** Soda covers a space between Great expectations and DBT test. Great expectations is a bit too verbose, soda and dbt is more compact. DBT test dont work well inside pipelines, if you want to test an intermediate dataframe without materializing it to a table, Great expectations and soda can test dataframes. **What do you dislike about Soda?** Tests have to be one of the out of the box tests or a sql query, you cant easily do generic python tests, maybe you can make it work with UDFs, also no connector to OpenMetadata, which we are using in our org. No OSS ui. **What problems is Soda solving and how is that benefiting you?** Big plus above dbt tests reported in Openmetadata: more information in test outcomes, not just fail / pass but also e.g nbr of rows / max value for column, and dataframe checks. **Official Response from Natasha Lauer:** > Thank you for taking the time to provide your review, Isak! ### 33. Data Validation for Analytics **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Entertainment | Enterprise (> 1000 emp.) **Reviewed Date:** June 19, 2023 **What do you like best about Soda?** We love all the integrations SODA provides. We currently use the Slack, Snowflake, and Jira integrations. SODA also has a large suite of built-in metrics to track data quality including anomaly checks and distribution checks. We also love the SODA Cloud API to pull all of our check results over time. **What do you dislike about Soda?** Overcoming the code vs. no-code debate. SODA has a no-code option, but our team is a proponent of writing the code to give us more customization. **What problems is Soda solving and how is that benefiting you?** SODA is allowing us to write automated data quality checks for our data assets. It allows our analysts to have peace of mind for their day-to-day analytics and resolve data quality issues faster. It is also allowing our executives to better understand the issues in our data beyond knowing the presence. They are able to see what types of issues affect our data the most often. We're also using SODA to track our machine learning models and detect model drift. ### 34. Very reliable product **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consumer Goods | Enterprise (> 1000 emp.) **Reviewed Date:** February 28, 2024 **What do you like best about Soda?** A very reliable product that meets organizational needs and very easy to implement. We leverage it for Data Quality and Data Contracts, and it has been very effective. **What do you dislike about Soda?** For my use-cases, it serves my needs, hence no dislike. I will only suggest to release more products like Data Catalog and version control integrations. **What problems is Soda solving and how is that benefiting you?** Data Quality and Data Contract topics **Official Response from Janet Revell:** > Great to hear-- I'm glad Soda is helping in your data quality and contract effort.s ### 35. Soda as a External Data Quality Framework **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Consulting | Mid-Market (51-1000 emp.) **Reviewed Date:** August 10, 2023 **What do you like best about Soda?** 1. The open source framework to use for free for python users. 2. Great documentation on Soda agent deployment in cloud. 3. Easily create datasource and schedule checks. 4. Integration with orchestration frameworks like 'Airflow' and data governace tools like 'Alation' is quite easy. 5. Defining and checking DQ check fails is not confusing. **What do you dislike about Soda?** 1. While defining checks if I miss to do syntax checks my scheduled check will fail and not show me the actual error in the log. 2. Soda should provide service option of manged instance of Soda agent which they are currently not. **What problems is Soda solving and how is that benefiting you?** We use data vault architecture and in that its advised to use reactive approach on data quality that proactive approach. So once datapipeline run is completed. It was difficult to identify failed records as we would need to run stored proc and store data. But with soda thats quite easy we just define the rules and we can see the data in same or diff table and its easy to see the stats based on the threshold of number of records failed. **Official Response from Natasha Lauer:** > Thank You! Do stay up to date with our releases; there's more on its way. ### 36. Soda review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** February 29, 2024 **What do you like best about Soda?** I did poc on data quality using Soda and found that easy to maintain all my test process into a single tool **What do you dislike about Soda?** sometimes it is failing due to library dependency whenever new version updated into soda **What problems is Soda solving and how is that benefiting you?** This help us to track the test results and make alert to users easily **Official Response from Janet Revell:** > Thanks for your feedback! ### 37. Love soda platform for it's flexibility and simplicity without compromising extensive features **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Renewables & Environment | Enterprise (> 1000 emp.) **Reviewed Date:** August 09, 2023 **What do you like best about Soda?** I configured SODA with databricks warehouse and cluster and implemented for almost all use cases using inhouse checks, CTEs and User defined queries. Features I love the most are 1. Easy filter options to perform checks against recent or a portion of big data 2. Reconciliation checks against migration data 3. Data discovery to find the schema and perform schema evolution checks when schema merge is disabled for a delta table 4. Option to disable sample data collection is useful to implement checks against pii data confidently 5. Easy to configure integrations and to manage incidents 6. Notifications flexibilty Excited to try the upcoming features and finally, they do an excellent job when it comes to support. **What do you dislike about Soda?** 1. Unable to create agreement without agent in SODA UI 2. There is room for improvement on the SODA UI and with the documentation 3. Column profiling is enabled only for specific data types **What problems is Soda solving and how is that benefiting you?** SODA is the solution that I use to meet the Data Quality vertical under the Data Governance framework **Official Response from Natasha Lauer:** > We're glowing from this glowing review - thank you! Stay up to date with our releases; there's more on its way. ### 38. Powerful and easy-to-setup tool for Data Validation **Rating:** 5.0/5.0 stars **Reviewed by:** Hugo V. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 08, 2023 **What do you like best about Soda?** I loved Soda's simplicity of use and set-up, although not as straightforward as dbt-tests it's much more powerful and works with lots of data sources, which makes it really flexible. **What do you dislike about Soda?** The open-source version feels a bit lacking at times compared to the paid one, although you can implement most of the connectors by yourself it will be much appreciated if a Slack integration and some basic reporting features were included in the open-source version. **What problems is Soda solving and how is that benefiting you?** Soda is helping us ensure Data consistency in our multi-source data pipelines without the need for programming language knowledge other than SQL, which is really useful for the less tech-savvy member of the team. **Official Response from Natasha Lauer:** > Happy to hear how Soda is supporting you, Hugo. Thank you for your feedback on Soda Core. Currently our integrations and APIs are only available in Soda Library and Soda Cloud. ### 39. Data quality is accessible for everyone **Rating:** 5.0/5.0 stars **Reviewed by:** Kan O. | Data Product Developer and Technical Coach, Small-Business (50 or fewer emp.) **Reviewed Date:** August 14, 2023 **What do you like best about Soda?** Soda core is very friendly for everyone to contribute to data quality management in an organization. **What do you dislike about Soda?** I think there is still some confusion between Soda Core and SodaCL for new users. **What problems is Soda solving and how is that benefiting you?** Since SodaCL provides human-readable language, I think it solves the issue that people normally think data quality management is a data engineer's job. Now we can involve the business units to help us write tests. **Official Response from Natasha Lauer:** > Involving the business is imperative in getting data quality right and we are delighted you've discovered this with Soda, Kan! And we're making it as easy as possible with our no-code check creation. Re: Soda Core, that's our open source engine. SodaCL is the domain-specific language used to create Soda checks. ### 40. soda.io a data monitoring tool as SaaS **Rating:** 5.0/5.0 stars **Reviewed by:** Prajwal S. | Application Developer, Enterprise (> 1000 emp.) **Reviewed Date:** April 18, 2023 **What do you like best about Soda?** Soda.io Provides API Integrations, which can connect databases, data lakes, data warehouses, and cloud storage. Soda.io can integrate with popular data platforms and data processing frameworks such as Apache Spark, Apache Kafka, Apache Flink, and Apache NiFi. Cloud supporters Like Azure, AWS, Google and Oracle. It can be integrated with Power BI and Tableau for Visualization. **What do you dislike about Soda?** Data monitoring and validation solutions may have limitations regarding the types of data sources they can connect to and process. Limitations in terms of the ability to integrate with other data tools. Like any software solution, soda.io may have regular updates and maintenance requirements **What problems is Soda solving and how is that benefiting you?** Soda.io is a platform that helps organizations ensure the quality of their data through data analysis, data availability, and data exploration capabilities. The platform allows users to verify data access rights, monitor pipelines, and detect vulnerabilities and inaccuracies in real time, helping organizations identify and fix data good papers early in the document's life. ### 41. Data monitoring and validation using Soda.io **Rating:** 4.5/5.0 stars **Reviewed by:** Kavyansh P. | Software Engineer - II, Mid-Market (51-1000 emp.) **Reviewed Date:** April 15, 2023 **What do you like best about Soda?** 1. Soda.io also provides integrations with various data sources and platforms, such as Amazon S3, Google Cloud Storage, Snowflake, and more, allowing organizations to monitor and manage their data quality across multiple sources in a single platform 2. The platform uses a variety of data validation techniques, including schema validation, and anomaly detection, to identify issues and alert users when data quality problems arise **What do you dislike about Soda?** It is a little complex and not for someone from a non-IT or computer background. If someone wants to use this platform efficiently, needs to have some programming knowledge. **What problems is Soda solving and how is that benefiting you?** One common problem that organizations face is ensuring the accuracy of their data. With Soda.io, users can set up data monitoring and validation rules to catch errors or inconsistencies in their data as soon as they occur. This can help prevent costly mistakes and ensure that data is accurate and reliable. Soda.io can helped me to get deeper insights into their data by providing data profiling and visualization tool and helped for making the right decision. ### 42. Soda is a great tool for building a data culture **Rating:** 4.5/5.0 stars **Reviewed by:** Thais A. | Mid-Market (51-1000 emp.) **Reviewed Date:** June 18, 2023 **What do you like best about Soda?** Soda is an easy tool to use daily. Soda Core and Soda Cloud are an amazing combo for testing data and creating data contracts with business partners. What I like most about Soda is how easy it is to start testing. Setting up Soda Core is very straightforward and it offers a few things I consider essential when adopting a new tool: API's, support and community. **What do you dislike about Soda?** I believe the documentation could be better versioned so users could know which page to use as a reference for the current version in production. It would save significant time in understanding what changed in the documentation updates. **What problems is Soda solving and how is that benefiting you?** Solda helped us to start testing the basics contracts in our data platform. ### 43. Great Product, great company **Rating:** 5.0/5.0 stars **Reviewed by:** Fernando V. | Data Analyst, Mid-Market (51-1000 emp.) **Reviewed Date:** September 25, 2023 **What do you like best about Soda?** I love the great integration of soda with tools like Slack **What do you dislike about Soda?** I think it's a great product, I didn't had any issue with it **What problems is Soda solving and how is that benefiting you?** Thanks to this tools I could notice some issues with the data that the only other way to notice it was if somebody with context of the data would alert it **Official Response from Natasha Lauer:** > Thank you for this great review, Fernando! Wishing you continued success with Soda. ### 44. great data quality tool **Rating:** 5.0/5.0 stars **Reviewed by:** Deepanshu J. | Mid-Market (51-1000 emp.) **Reviewed Date:** September 12, 2023 **What do you like best about Soda?** SODA integration, notifications and ease of use. **What do you dislike about Soda?** still developing. less mature maybe. Changes very quiickly **What problems is Soda solving and how is that benefiting you?** data checks and data quality **Official Response from Natasha Lauer:** > Thank you, Deepanshu - stay up to date with our releases; there's lots more on its way. ### 45. Very interesting premise but could have been better **Rating:** 2.0/5.0 stars **Reviewed by:** Anup J. | Enterprise (> 1000 emp.) **Reviewed Date:** March 28, 2023 **What do you like best about Soda?** The reusability of SodaCL and its incredible scope and completeness of the tool is amazing.The central concept of testing-as-code with its associated tools is brilliant as well. I appreciate the very complete and professional nature of the docs **What do you dislike about Soda?** Simply, put its too much work. Introducing the tool to your teammates is almost impossible, as most people look at learning a new language and say no thanks. The level of setup required to get SodaCL going does not help either **What problems is Soda solving and how is that benefiting you?** We generally integrate SodaCL into our data ingestion pipeline. We receive data from multiple clients whom we often don't have too much control over. So we setup automated serverless functions which do data quality checks and flag the devs for issues. We use these reports to compare with clients on if this is expected behaviour ### 46. The ideal option to implement data quality at scale **Rating:** 5.0/5.0 stars **Reviewed by:** Mahdi K. | Enterprise (> 1000 emp.) **Reviewed Date:** June 15, 2023 **What do you like best about Soda?** Soda is a great option to implement data quality checks thanks to its user-friendly syntax (can be understood by a wid range of personas and not only data engineers) and wide range of built-in checks and metrics. **What do you dislike about Soda?** Nothing comes to mind. Using the open-source package requires some engineering work but that can be avoided via the managed/cloud version. **What problems is Soda solving and how is that benefiting you?** - Implementing various types of data quality checks at scale (hundreds of tables) - Allowing different personas (engineers, analysts, PMs, etc.) to understand and contribute to the checks ### 47. Data Quality made easy **Rating:** 5.0/5.0 stars **Reviewed by:** David M. | Small-Business (50 or fewer emp.) **Reviewed Date:** August 10, 2023 **What do you like best about Soda?** I like the easy of use of the tool and how quick it is to get started. **What do you dislike about Soda?** It's a new tool and there is some functionality left to develop. **What problems is Soda solving and how is that benefiting you?** It's making the Data Quality integration and processes with my tools very easy **Official Response from Natasha Lauer:** > Love to hear that we're making data quality easy for you, David. Feel free to provide any specific functionality feedback in our Community or contribute. ### 48. Custom data quality and validation rule **Rating:** 4.5/5.0 stars **Reviewed by:** Kamal H. | Mid-Market (51-1000 emp.) **Reviewed Date:** August 13, 2023 **What do you like best about Soda?** custom data quality and validation rule and ease of use/setup. easy to follow and good documentation is very much useful as well. **What do you dislike about Soda?** definitely expectation from data engineering perspective is evolving, so far loving it. **What problems is Soda solving and how is that benefiting you?** custome distribution and data drift detection **Official Response from Natasha Lauer:** > Thank you, Kamal - we are happy that you are loving using Soda. ### 49. Streamlining data monitoring **Rating:** 5.0/5.0 stars **Reviewed by:** Sujeeth G. | Senior Software Developer, Mid-Market (51-1000 emp.) **Reviewed Date:** April 20, 2023 **What do you like best about Soda?** Soda.io tools helped managing analyzing the data. It also helped me resolve issues while managing the data. The tool helped me to data profiling and do periodic data quality checks **What do you dislike about Soda?** There nothing to dislike. Soda.io provides open source tools to monitor the data which not every company do that. We can ensure data Quality using the tools provided by soda.io **What problems is Soda solving and how is that benefiting you?** Soda.io is helping me to monitor the data issues in wide range. Soda.io helping data team using soda.io tool to identify data issues and profiling data and data quality ### 50. About Soda.io **Rating:** 4.5/5.0 stars **Reviewed by:** NIKHIL G. | GCP Data Engineer at TCS, Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2023 **What do you like best about Soda?** One of the best tool for data operations. It mainly identify the issues and the alert the right people. It is very useful for the data engineers to find the data issues where automation cannot find. **What do you dislike about Soda?** Nothing as of now. It would be great if we can get good documentation about the tool. **What problems is Soda solving and how is that benefiting you?** Soda.io is solving a bunch of problems such as analysing customer data, capturing the data, integration of the data with different sources and target systems and migrating the data. - [View Soda pricing details and edition comparison](https://www.g2.com/products/soda/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-30+05%3A08%3A32+-0500&secure%5Bsession_id%5D=bb455944-03df-46d9-8285-5735a06db5a5&secure%5Btoken%5D=af3341e9beda196b684e6c94d768e3889b65550c238150e6417ffc514d15c54e&format=llm_user) ## Soda Features **Functionality** - Real-time Analytics - Data quality monitoring - Automation - End to End visiblity **Management** - Anomaly identification - Single pane view - Real-time alerts - Data lineage - Integrations **Generative AI** - AI Text Generation **Functionality** - Identification - Normalization - Data Matching **Agentic AI - Data Observability** - Autonomous Task Execution - Multi-step Planning - Cross-system Integration - Natural Language Interaction - Proactive Assistance **Management** - Reporting - Quality Audits - Dashboard - Governance **Generative AI** - AI Text Generation - AI Text Summarization ## Top Soda Alternatives - [Monte Carlo](https://www.g2.com/products/monte-carlo/reviews) - 4.3/5.0 (519 reviews) - [Great Expectations](https://www.g2.com/products/great-expectations/reviews) - 4.5/5.0 (11 reviews) - [dbt](https://www.g2.com/products/dbt/reviews) - 4.7/5.0 (205 reviews)