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What is Datameer?

Datameer helps businesses clean up, combine, and organize data to make sense of it and use it for reports and machine learning.

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Recent Reviews

Datameer Review

9 out of 10
January 31, 2014
Datameer is being used by our my organization as a Big Data BI tool on top of our Hadoop Cluster along with Hive, Impala, Pig, and HBase. …
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Product Demos

Datameer: Google Sheets Integration


A walkthrough of the Datameer interface


Datameer ClickStream Analysis Demo 点击流分析演示


Datameer Smart Analytics 智能分析演示


Low code vs SQL: What transforms data faster?

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Product Details

What is Datameer?

Datameer: Data Prep & Analytics for Snowflake

Datameer is a solution to discover, explore, clean, transform, automate, and share Snowflake data. The platform equips analysts with a complete data toolset to efficiently prep their data.

Key Features:

- Data catalog: Datasets can be filtered and searched using metadata for project-specific requirements.
- SQL or no-code data transformation: SQL SELECT statements or a visual, no-code interface are available for data shaping.
- Visual canvas-like interface: To design and maintain projects for a seamless workflow.
- Insights sharing: Results and exceptions can be shared via Email or Slack with scheduled delivery options.
- Snowflake integration: Data assets can be easily deployed to Snowflake.
- GIT version control: Automated version control and CI/CD for Snowflake data pipelines.
- Materialization and dependency management: To ensuresreliable data processing.
- Monitoring: To track pipeline performance for efficient data operations.

Benefits of Datameer Cloud:

- Increased data accuracy and consistency.
- Reduced data preparation time.
- Improved data access and sharing.
- Enhanced data-driven decision making.

Datameer is a Snowflake SELECT partner, recognized for its data preparation expertise. The platform prioritizes data security, with monitoring by Drata to protect valuable data.

Datameer Screenshots

Screenshot of DATA TRANSFORMATION: SQL or No Code

SQL SELECT statements can be used to explore and shape data. Work is represented visually on a canvas like interface, making it easier to design and maintain projects.

Datameer includes library of pre-built drag-and-drop transformations to accelerate SQL development or transform datasets without writing code.Screenshot of DATA CATALOG: Collaboration in Snowflake

Search, Metadata, Data Profiling, and Auto documentationScreenshot of AUTOMATION & INSIGHTS

Insights can be sent to email or Slack, integrated, and deployed to SnowflakeScreenshot of PRODUCTION PIPELINES: From ad-hoc exploration to production pipelines

GIT version control, materialization, dependency management, monitoring

Datameer Videos

Ryan Goodman, VP of Analytics at Reliant Funding, sat down with us and shared his Snowflake + Datameer journey. “It’s cloud-first. Flip a switch, connect to Snowflake, and go!”
Datameer: Extracting Insights from Snowflake Data

Datameer Integrations

Datameer Technical Details

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

Frequently Asked Questions

Datameer helps businesses clean up, combine, and organize data to make sense of it and use it for reports and machine learning.

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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Reviews and Ratings


Attribute Ratings


(1-9 of 9)
Companies can't remove reviews or game the system. Here's why
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.
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.
Mike Blizman, PMP | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Several departments are using Datameer to aggregate large amounts of data from disparate sources.
  • Datameer is an excellent "bridge" to Hadoop. Organizations who want to get started with a Hadoop cluster and the analytic capabilities provided by Hadoop, but do not have a large software development team to assist in creating Map/Reduce code are likely to be able to do some very cool things with their data with Datameer.
  • The support team at Datameer has been very responsive and quite helpful. Online ticket/email for creation of support tickets, phone or web-ex as necessary.
  • Much of the tool will be familiar looking to Excel users.
  • Provides a single interface to many of the things a developer/analyst would need to do.
  • No specific examples of this in general, but as you mature in your use of Datameer, you may have to decide between investing in training of your staff to use other tools in the Hadoop ecosystem, or you may need to increase your hardware investment a little faster than you would expect to keep pace with demand for the tool as it gains users. One con, specific to our organization is the ingestion-based license model, which could be too expensive for our uses. With other tools such as Hive, HBase, CouchDB, the costs are based on your hardware investment and support contracts (and license fees for Couch).
  • It would be nice to have a mature API (web service based perhaps) for sharing infographics generated in Datameer and forward through a proxy or web portal. If we could have used Datameer to provide customer facing graphical output through our other web portals in a secure and manageable way, the value proposition of the Datameer product would have been increased tremendously as a solution. When we assessed doing this more than a year ago, we found the older style security API inadequate for this purpose. I was able to do a prototype use case through custom configuration and development methods around reverse proxies and the custom wrappers I built, but maintenance and administration would have been awkward. At current state of maturity in Hadoop tools, I think using Hadoop and associated tools as a work horse and data lake, as part of a data stream that is secured deep in your environment is the best approach. Reporting tools are maturing quickly to provide connectors to Hadoop, while facilitating report sharing in a proven manner, so I am very, very bullish on Hadoop in the long run. Learn more about Hadoop at
This review was originally published in 2013.
Team composition and skill sets to determine what alternatives are feasible for that organization. Not every team can deliver map/reduce code, nor should they. Not every team can devise a data stream and a set of tools that makes sense in the long run given how fast Hadoop is changing. Authentication/Single sign on requirements can be met inside your network using standard things like LDAP.
Score 8 out of 10
Vetted Review
Verified User
  • It leverages scalability, flexibility and cost-effectiveness of hadoop to deliver an end-user focused analytic platform for big data without involvement of IT.
  • It overcomes Hadoop`s complexity by providing GUI interface with pre-built functions across integration, analytics and data visualization .
  • Excel feature is awesome for business users which is already provided by Datameer.
  • Using datameer now user can do smart analytic using Decision Trees, Column dependency and recommendation.
  • Recently HTML5 inclusion is making application to available on a wider range of devices, including the iPad and other mobile devices which does not support Flash.
  • It can be used in premise or in a cloud computing environment.
  • Wizard-based data integration designed for IT and business users to schedule and do transformation of large sets of structured, semi-structured and unstructured data without any knowledge of Hadoop ecosystem.
  • Email feature can be improved
It is the first and only end-user focused application for Hadoop based analytics.
Hector Jimenez | TrustRadius Reviewer
Score 7 out of 10
Vetted Review
Verified User
Datameer is being used as a proof of concept for Hadoop by information technology and engineering. We are trying to provide an analytical platform which can potentially be used across all the departments in the organization. We don't have a lack of data, and are focusing on use cases where unstructured or semi-structured data is relevant. For example, text notes used Customer Service to document cases and follow-up internally with other departments.
  • It is the only solution out there that provides a true face to Hadoop and all the other technologies around it.
  • It enables regular users and analysts with capabilities that are only available for data scientists in other solutions.
  • It provides an "Excel-like" interface to have quick and simple access to data in Hadoop.
  • Data visualization and graphics. Right now it's not very user friendly. Creating dashboards requires a lot of work that can be done by the application
Datameer seems to be more suited towards big data scenarios, like clickstream data or server logs.
January 31, 2014

Datameer Review

Ryan Baltes | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Datameer is being used by our my organization as a Big Data BI tool on top of our Hadoop Cluster along with Hive, Impala, Pig, and HBase. It helps non-technical analysts to gain the power of running high power analytics on large data sets. It simplifies the SQL or scripting languages used in the Apache/Cloudera tools into a user GUI which supports almost 200 built-in functions and holds endless possibilities with the support of custom functions. Datameer also has the ability to import PMML models from SAS and other tools and create custom functions from these imports. Datameer is used across the whole organization and is growing on many analyst as the next up and coming analytical tool.
  • Importing data is quick and painless. Datameer has the ability to import anything through a JDBC connection and many other protocols.
  • Datameers Excel-like interfaces makes it easy for non-technical users to execute queries.
  • Datameers ability to also graphically represent their queries sets it apart from many tools.
  • Datameer does not have drill down capabilities on their infographics. This capability is will be supported by the end of Q1.
  • Datameer can be buggy if the version is not supported by the distribution of Hadoop being used.
  • Datameer does not make it simple to create samples of data sets.
Datameer is a great tool if someone is capable of keeping the most recent version of the tool up to date along with the most recent version of the distribution of Hadoop. The tool is easy to support but it must have someone who can run the back end processes.
November 16, 2013

Finding truth was hard

Score 5 out of 10
Vetted Review
Verified User
  • Redefines Big Data Analytics from a business analyst perspective without having to understand Big Data in the first place.
  • Allows you to view sample data, which helps in rapid building of logic.
  • Abstracts the complexity of the MapReduce Paradigm (programming model for large data sets) and allows user friendly Excel-like analytics on top of Hadoop
  • MapReduce execution
  • Graceful exception handling code wise
Ask about data integration especially on unstructured data ?
Ask about prebuilt data analytics functions.
Ask about enhanced data visualization and reporting aspect.
Ask about pre built analytic apps.
Gaurav Chawla | TrustRadius Reviewer
Score 3 out of 10
Vetted Review
Verified User
  • It can work with large data sets since it uses Hadoop in the background to crunch data.
  • It is easy to use for non- technology savvy managers to get quick insights about the data.
  • Quick and easy to learn . It took me 2 days to get to a point where I could use it and pull reports from it on my own.
  • I missed having someplace to write your own code. SQL or JAVA would be really helpful . I am comparing this to what I have seen it Informatica PowerCenter or Business Objects.
  • The number of the functions available in the workbooks could be expanded. There is only so much one can perform with a limited set of functions. One tends to expect the functions available in MS Excel when you see a workbook like environment , especially if the target audience is non-tech savvy managers.
  • Could add some text features like regular expressions for text mining on data .
It could be good if you want to take a cursory look at a large data before handing it over to your tech teams .
Serge Blazhievsky | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
  • One of the biggest challenges is teaching other developers about Hadoop framework and Datameer is just the tool I needed to speed that process up.
  • Ease of use, intuitive user interface and SDK to extend the existing set of functions is what makes Datameer unique for big data processing.
  • Map Reduce code generated by user interface complies with our very strict performance requirements.
  • Some additional functions we have to implement ourselves to help customer solve specific problem
  • Machine learning, data analytic offering can be expanded.
  • Support for multiple clusters can be useful.
Great product and great support team.
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