Datameer Reviews and Ratings

Rating: 8.4 out of 10

Score

8.4 out of 10

Community insights

TrustRadius Insights for Datameer are summaries of user sentiment data from TrustRadius reviews and, when necessary, third party data sources.

Business Problems Solved

Datameer, a Big Data BI tool, has been widely utilized by various departments within our organization. Non-technical analysts have found it particularly helpful for running high-power analytics on large data sets, simplifying the complexity of SQL or scripting languages used in Apache/Cloudera tools. The user-friendly GUI of Datameer supports nearly 200 built-in functions and allows for the creation of custom functions from imported PMML models.

Additionally, several departments have leveraged Datameer to aggregate vast amounts of data from different sources, enabling the generation of reports and dashboards for various business units. This tool has also proven effective in building use-case-driven data pipelines, eliminating the need for a dedicated data ops team and resulting in valuable time and cost savings. Its ease of use, without the requirement of coding knowledge, has made it accessible to business teams across the organization.

Furthermore, Datameer has served as a proof of concept for Hadoop for information technology and engineering teams, aiming to provide an analytical platform for all departments. It is the go-to platform for building data pipelines for real-world applications, especially when dealing with unstructured or semi-structured data. For example, it has been successfully utilized to extract, transform, and load data from local servers to a cloud-based data warehouse, supporting the reporting and dashboard infrastructure of the company.

The fact that Datameer users do not need coding knowledge has contributed significantly to its adoption by businesses looking to empower non-technical analysts while still harnessing the power of big data. With its wide range of functionalities and its ability to simplify complex tasks, Datameer has become an invaluable asset in our organization's big data analytics workflow.

Reviews

9 Reviews

For those who lack knowledge of SQL, this tool is indispensable

Rating: 9 out of 10

Incentivized

July 7, 2022

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

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.

Verified User

Engineer in Engineering (201-500 employees)

Vetted Review

3 years of experience

Four secure ETL pipeline tools in one platform at a sensible, constant price.

Rating: 9 out of 10

June 9, 2021

Use Cases and Deployment Scope

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.

Pros

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

Cons

Many tabs sometimes reduce your focus
Might be better to have a more compact design
Video tutorials are a little long

Likelihood to Recommend

<ul><li>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.

</li><li>Very powerful transformation capabilities.

</li><li>Lots of built-in features required for operationalizing pipelines that would otherwise require the use of multiple tools.

</li><li>Great tool if you need to ETL data to a cloud data warehouse like Snowflake. Datameer replaces our need for a data ops team.

</li><li>Solid integration with other BI products like Tableau and PowerBI and also data from Google Analytics and Facebook Ads.

</li></ul>

Abhinav Patel

ETL Developer in Information Technology at Zeus Industrial Products, Inc. (501-1000 employees)

Vetted Review

3 years of experience

View profile

Datameer Personal Edition

Rating: 7 out of 10

Incentivized

June 20, 2014

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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

Likelihood to Recommend

Datameer seems to be more suited towards big data scenarios, like clickstream data or server logs.

Hector Jimenez

Product Owner (Scrum/Agile) in Information Technology at TradeStation Securities (1001-5000 employees)

Vetted Review

1 year of experience

Datameer Review

Rating: 9 out of 10

January 31, 2014

Use Cases and Deployment Scope

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.

Pros

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.

Cons

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.

Likelihood to Recommend

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.

Ryan Baltes

Application Developer in Information Technology at Equifax (5001-10,000 employees)

Vetted Review

Reseller

1 year of experience

To Choose or Not to choose Datameer

Rating: 8 out of 10

November 16, 2013

Pros

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.

Cons

Email feature can be improved

Likelihood to Recommend

It is the first and only end-user focused application for Hadoop based analytics.

Verified User

Administrator in Information Technology (10,001+ employees)

Vetted Review

2 years of experience

Finding truth was hard

Rating: 5 out of 10

November 16, 2013

Pros

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

Cons

MapReduce execution
Graceful exception handling code wise

Likelihood to Recommend

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.

Verified User

Engineer in Information Technology (5001-10,000 employees)

Vetted Review

15 years of experience

Datameer- Excel (Lite*) on Hadoop

Rating: 3 out of 10

November 16, 2013

Pros

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.

Cons

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 .

Likelihood to Recommend

It could be good if you want to take a cursory look at a large data before handing it over to your tech teams .

Gaurav Chawla

Programmer Analyst in Information Technology at JPMorgan Chase (10,001+ employees)

Vetted Review

1 year of experience

Datameer is great for sum

Rating: 8 out of 10

November 16, 2013

Use Cases and Deployment Scope

Several departments are using Datameer to aggregate large amounts of data from disparate sources.

Pros

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.

Cons

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 www.datafoam.com.

Likelihood to Recommend

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.

Mike Blizman, PMP

Administration of Hadoop cluster - Cloudera, Datameer in Information Technology at Equifax (5001-10,000 employees)

Vetted Review

1 year of experience

View profile

Datamer as addition to Hadoop Framework

Rating: 10 out of 10

November 14, 2013

Pros

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.

Cons

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.

Likelihood to Recommend

Great product and great support team.

Serge Blazhievsky

Big Data Architect in Engineering at NICE Systems (1001-5000 employees)

Vetted Review

2 years of experience

Loading Reviews List....

Home
,
Data Preparation
,
Datameer
,
Reviews and Ratings

Datameer is great for sum

Rating: 8 out of 10

November 16, 2013

Use Cases and Deployment Scope

Several departments are using Datameer to aggregate large amounts of data from disparate sources.

Pros

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.

Cons

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 www.datafoam.com.

Likelihood to Recommend

This review was originally published in 2013.

Mike Blizman, PMP

Administration of Hadoop cluster - Cloudera, Datameer in Information Technology at Equifax (5001-10,000 employees)

Vetted Review

1 year of experience

View profile