Datameer Reviews & Product Details

Datameer seamlessly integrates with Snowflake without incurring extra query costs and provides users with an intuitive and efficient low-code data transformation experience.

It's also relatively easy to set up and has many features to assist different personas - Whether it's data engineers involved in data transformation or business users conducting ad-hoc analytics, Datameer is well-suited for various data use cases. Review collected by and hosted on G2.com.

It's something they are working on, and that's broadening their scope from being only snowflake-based to DW agnostic.

I really look forward to that. Review collected by and hosted on G2.com.

Speed.. I can move very fast, slice dice and prepare data. When I want no code I can go no code. If I want to write SQL, I can do that too. Profiling joins and columns saved me hundreds of hours in 2022-2023 Review collected by and hosted on G2.com.

Wish it had some native connectors to pull data into Snowflake Review collected by and hosted on G2.com.

Its has the capacity to handle a lot of data, the way that you can configure the import and export jobs are incredible, it has compatibility with almost any kind of data Review collected by and hosted on G2.com.

The web interface is unhelpful, you cant use 2 windows in the same session, so you have to change tabs if you want to compare data from 2 different workbooks or even worse 2 tabs in the same workbook Review collected by and hosted on G2.com.

Transformations are elementary and self-explanatory to apply. The best thing is its close integration with Snowflake to deploy code. Review collected by and hosted on G2.com.

It is tough to export jobs from the cloud. Review collected by and hosted on G2.com.

The Datameer SaaS platform is perfect for data modeling for analysts with all levels of SQL skills. If analysts are not technical and prefer a GUI-based approach, Datameer provides an easy-to-use interface that enables the same end result as if the transformations were written directly in Snowflake. Datameer also allows users to switch between the GUI or SQL, or simply utilize SQL itself. Another nice thing about Datameer is the transformations are written back to Snowflake as Views rather than Tables, so analysts can store their queries without affecting the original data design. Review collected by and hosted on G2.com.

As the SaaS platform is still new, there may be opportunities to build upon the existing transformation tool, but the team is very receptive to feedback. Review collected by and hosted on G2.com.

The tool is simple enough that users with no SQL knowledge can build reasonably complex transformation flows after a brief onboarding tutorial. The bells and whistles are limited, making for an easy-to-understand and less intimidating product for no-code users. But, because you can use SQL transformation, users with SQL experience have all the capabilities of using SQL. Review collected by and hosted on G2.com.

The user interface needs a little work, but I'm sure somebody will work that over time. For example, I was trying to build a complex transformation with a lot of steps, and it became hard to navigate the flow diagram. Review collected by and hosted on G2.com.

Datameer is an easy-to-use ETL platform and requires Less to NO coding skills. Non-technical people can easily navigate to GUI and build transformations with just a few clicks, SQL complex logics with just a few clicks.

Datameer can be used for data transformation and analytics on the data, but row-level operations are a bit limited. Datameer is built for No-code SQL operations within snowflake so it cant be compared with ETL tools, it is UNIQUE among other ETL tools in the market.

Non-SQL users can use this Datameer that generates the SQL queries in the form of views, this is a very good feature of Datameer. One more good feature is to extract the data in the form of CSVs at any step of the transformations that you do.

Detailed documentation that explains every functionality and feature of Datameer. Review collected by and hosted on G2.com.

- Documentation needs to be organized properly

- Row level operations are limited

- Lookup – This can be achieved using SQL query in SQL editor but not using Objects. So SCD-2 m may not be possible with the given transformation objects

- Merge operation – This can be done using SQL query but not using the objects available. So SCD-1 may not be possible with the available transformation objects

- SQL functions are limited Review collected by and hosted on G2.com.

It helps you to easily clean, blend and transform data in Snowflake Review collected by and hosted on G2.com.

Nothing. Frankly I haven't found any downsides Review collected by and hosted on G2.com.

The workbooks in datameer provide a friendly GUI interface. An analytical mind can easily prepare data using the inbuilt workbook function even without much technical knowledge.

The support team is highly responsive. (10 out of 10) Review collected by and hosted on G2.com.

There may be more opportunities in making UI more interactive and add more sophisticated Data prep tools. Review collected by and hosted on G2.com.

Datameer Spectrum connects to a multitude of data sources making it a great data integration solution. Very easy GUI lets us design complex ETL pipelines without spending time on coding. Easy to learn and master and includes transformation functions for any scenario. The Spark engine auto-scales and is very efficient. Datameer keeps adding more features and data connectors in Spectrum. Review collected by and hosted on G2.com.

They have a large training library but some videos should be updated. Review collected by and hosted on G2.com.