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 Review collected by and hosted on G2.com.

Soda-Core started as an open-source library, but currently, Soda is releasing new features within Soda-Library, which is now a private library. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

I did poc on data quality using Soda and found that easy to maintain all my test process into a single tool Review collected by and hosted on G2.com.

sometimes it is failing due to library dependency whenever new version updated into soda Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

Soda core is very friendly for everyone to contribute to data quality management in an organization. Review collected by and hosted on G2.com.

I think there is still some confusion between Soda Core and SodaCL for new users. Review collected by and hosted on G2.com.

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. Review collected by and hosted on G2.com.

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 Review collected by and hosted on G2.com.