Score 8.6 out of 10


What is Datameer?

Analytics that make it easy for businesses to aggregate big data, leveraging the power and scale of Hadoop.
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Product Details

What is Datameer?

Datameer is a no-code analytics solution built for Snowflake. Discover, analyze and share hidden insights in minutes.

Empowering data engineers and analysts to transform and model data directly in their cloud warehouses via a simple SQL code or no-code interface to solve complex analytical projects.

Datameer Features

  • Supported: Data Discovery
  • Supported: Data Preparation
  • Supported: Data Validation
  • Supported: Sharing Insights
  • Supported: Snowflake Native
  • Supported: Data Catalog
  • Supported: Data Profiling
  • Supported: Metadata
  • Supported: Search
  • Supported: Auto Documentation
  • Supported: Modular SQL
  • Supported: No Code
  • Supported: Fresh Data
  • Supported: Full Lineage
  • Supported: Data Transformation
  • Supported: Send to Email
  • Supported: Send to Slack
  • Supported: BI integration
  • Supported: Materialization
  • Supported: Dependency Management
  • Supported: Version Control
  • Supported: Monitoring
  • Supported: Production Pipelines

Datameer Downloadables

Datameer Integrations

Datameer Competitors

Datameer Technical Details

Deployment TypesSoftware as a Service (SaaS), Cloud, or Web-Based
Operating SystemsUnspecified
Mobile ApplicationNo

Frequently Asked Questions

Analytics that make it easy for businesses to aggregate big data, leveraging the power and scale of Hadoop.

Alteryx, Tableau Prep, and Sigma Computing are common alternatives for Datameer.

The most common users of Datameer are from Enterprises (1,001+ employees).
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(1-4 of 4)
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Score 9 out of 10
Vetted Review
Verified User
We choose Datameer as my go-to platform for building up data pipelines for real-world applications. Recently, we have also begun using it to ETL data from our local servers to our cloud-based data warehouse. These pipelines are the lifeblood of my company's reporting and dashboard infrastructure. With Datameer, we were able to save money and resources that would have been used to establish and maintain a dedicated data operations team. The fact that Datameer users don't need to know how to code has led to the platform's adoption by businesses.
  • Connect to a broad variety of data sources with the help of robust connector support.
  • Its user interface is quite similar to that of Excel, making it easy to access your data.
  • Since it doesn't require any prior understanding of programming, there is a minimal learning curve for new users.
  • Concentration issues are possible while using a lot of tabs at once.
  • In most cases, the length of a tutorial video is excessive.
  • A more condensed design is certainly a viable option.
Datameer's workbooks include an intuitive GUI for maximum usability. Anyone with an analytical mind may easily compile data using the built-in worksheet capability without requiring much technological knowledge. Ad hoc reports may now be made and scheduled. In addition, I haven't had too much problem fixing things because I can get most of the answers I want there.
  • Expedite the process of reaping the rewards. To learn how to utilize Datameer as a developer takes less than a day.
  • The workspace's drag-and-drop feature makes it easy to move about in a hurry.
  • Simple-to-schedule information processing pipelines.
Based on our findings, we are unable to utilize the Apache Hive platform due to the associated costs. We also looked into Informatica, but decided against it because of its expensive pricing and poor integration with other BI products. Those unfamiliar with SQL may nevertheless use this tool to build complex transformation processes after a brief onboarding session.
Score 8 out of 10
Vetted Review
Verified User
Analysts of various SQL proficiency levels can benefit from using the Datameer SaaS platform for data modeling. Datameer offers a simple interface that achieves the same results as if the transformations were done directly in Snowflake, making it ideal for non-technical analysts who prefer a GUI-based approach. You may use SQL exclusively, or bounce back and forth between the GUI and SQL using Datameer. Moreover, analysts may save their queries in Datameer without compromising the original data architecture since the transformations are re-written to Snowflake as Views rather than Tables.
  • Extensive reading material outlining Datameer's many features and capabilities.
  • One other useful function is the ability to generate CSV exports of the data at any point throughout the transformation process.
  • Datameer's ability to produce SQL queries in the form of views is a great feature that makes it accessible to users without SQL expertise.
  • It is important to maintain order in the documentation process.
  • It has a huge collection of training materials, although some of the films may use an update.
  • Since the SaaS platform is still in its infancy, there may be room for improvement in the present transformation tool, and the development team is eager to hear your suggestions.
Without the need for technical subject matter expertise or in-depth technical knowledge, Datameer has enabled me to swiftly convert data and develop insights utilizing data from a variety of sources. Datameer is an ETL software that may be used with little to no knowledge of programming. Users with no technical background may construct transformations and sophisticated SQL logics with a few mouse clicks using the intuitive graphical user interface.
  • Features such as a non-coding interface, an enterprise data integration (EDI) platform, and adaptability.
  • With Datameer, your data engineering team may be as small as one person.
  • This tool is a must-have for anyone who isn't familiar with SQL.
Even while Datameer may be used for analytics and data transformation, it has several limitations when it comes to working with data at the row level. Datameer stands out from other ETL programs since it was developed specifically for No-code SQL operations inside of Snowflake. We have exposed our model to our customers to enable them to modify, filter, and extract their data and reports in the needed format, and we have utilized Datameer in our Snowflake for Google Search Console data that comes over AWS S3.
Snowflake, Apache Spark, Apify, Microsoft BI (MSBI)
Score 9 out of 10
Vetted Review
Verified User
Datameer is what I rely on to construct data pipelines based on actual use cases. As of recently, we have also been employing it for the purpose of extract-transform-load (ETL) from on-premises data to a cloud-based data warehouse. These pipelines power reporting and dashboards for several departments in my company. We were able to avoid the expense and overhead of staffing a data operations department because to Datameer. Since Datameer users don't have to worry about learning how to code, it's even being adopted by corporate groups.
  • A low barrier to entry thanks to a user-friendly interface that doesn't require programming knowledge.
  • Powerful connector support for connecting to a wide variety of data sources.
  • It has an Excel-like interface, so you can get to your data quickly and easily.
  • The possibility exists that a more compact layout might be preferable.
  • Multiple tabs might make it difficult to concentrate.
  • Tutorial videos tend to run on for too long.
Datameer's workbooks include a user-friendly graphical user interface. The in-built worksheet feature makes it simple for anybody with an analytical mind to compile data without needing much technical expertise. Allowing me to create and schedule ad hoc reports. Also, I haven't had too much issue troubleshooting because much of the information I need is readily available on the site.
  • Reduced time needed to realize benefits. It takes less than a day to get from being a developer to being able to use Datameer.
  • Drag-and-drop functionality in the workspace facilitates quick and simple navigation.
  • Information processing pipelines that are simple to schedule.
In our research, we found that Apache Hive use fees would prevent us from using the platform. We also considered Informatica, but its high price and limited compatibility with other BI tools led us to choose Datameer instead. After going through a short onboarding training, even users who aren't familiar with SQL will be able to construct complicated transformation processes using this tool. No-code users will find the lack of extra features to be reassuring, since it makes the product simpler to grasp. However, all the power of SQL is available to people with SQL knowledge thanks to SQL transformation.
Score 9 out of 10
Vetted Review
Verified User
I use Datameer for building use-case-driven data pipelines. We are also now using it to ETL on-premises data to a cloud data warehouse. These pipelines are used to enable reports and dashboards for various business units in my organization. Using Datameer has saved us a lot of time and money and we didn't need to hire a data ops team. Datameer is easy to use with no need to write code, so business teams are even using it.
  • Scales data processing using elastic compute framework (Spark)
  • Simplifies the process of building ETL data pipelines in the cloud
  • Extensive data source connectivity and easily connects to source data using connectors
  • A fast learning curve with a no-code interface so anyone can use it
  • It provides an Excel-like interface to have quick and simple access to data
  • Transformation speed
  • Many tabs sometimes reduce your focus
  • Might be better to have a more compact design
  • Video tutorials are a little long
  • Good for companies looking to scale up data processing over the next few years. Datameer has per-user pricing so we do not worry about ETL costs spiraling out of control compared to other products, like Fivetran, that price per usage.
  • Very powerful transformation capabilities.
  • Lots of built-in features required for operationalizing pipelines that would otherwise require the use of multiple tools.
  • Great tool if you need to ETL data to a cloud data warehouse like Snowflake. Datameer replaces our need for a data ops team.
  • Solid integration with other BI products like Tableau and PowerBI and also data from Google Analytics and Facebook Ads.
  • Quick time to value. Transition from developer to learning Datameer is less than a day.
  • Workspace is drag and drop, which makes it intuitive and easy to use.
  • Speed of data transformations.
  • Pulling data from various sources.
  • Easy to schedule data pipelines.
  • Tailor made for Snowflake and Redshift.
  • Documentation is sometimes not updated quickly.
  • Training videos are a bit long.
Pricing, support, and ease of use. We plan to scale up our data over the net few years and Datameer gives us all the things we need in one tool. Handles large transformations quickly and works with all the cloud data warehouses.

Datameer's per-user pricing sealed the deal for us as we plan to transfer much more data over the next few years. We looked at Fivetran but the usage pricing discourages growth. We also looked at Informatica but it was too expensive and didn't work as well with other BI tools like Datameer does.
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