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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
54 out of 55 Total Reviews for Soda
Overall Review Sentiment for Soda
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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. Review collected by and hosted on G2.com.
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." Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
Supports of search datasource like elasticsearch/opensearch was not supported.
Guide for adding new datasource documentation would be very helpful. Review collected by and hosted on G2.com.
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 Review collected by and hosted on G2.com.
Nothing as of now, sometime there is slight delay in support over slack community `soda-core` channel Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
There is nothing I particularly dislike about Soda. Disliking software is a strange thing to do. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
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. Review collected by and hosted on G2.com.
