Soda Reviews & Product Details

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 effortless to read and understand. Definitely a wonderful tool for both developers and non-developers working with data. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

- 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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 definitely have changed. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 don't support NoSQL Engines (Example MongoDB, DynamoDB, ElasticSearch...). Review collected by and hosted on G2.com.

Easy to navigate through documentation

Good technical support from the slack community

Easy to integrate Review collected by and hosted on G2.com.

Some python libs should be upgraded to python 3.11 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

The UI needs some improvements, and the docs need to be updated more constantly. Review collected by and hosted on G2.com.

Easiness of integration

Ease of use

Fast switch to soda cloud

Data contract

lots of data quality checks

Lots of Soda Cloud features Review collected by and hosted on G2.com.

dbt integration could be improved (dbt plugin maybe?) Review collected by and hosted on G2.com.