Datameer vs. Grafana

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.

Incentivized

Just about any organization with more than one server and more than one cluster as it scales very well. Configuration of the application takes time and finesse to fine tune to where the balance of load time and getting data quickly meets. The plugins add load time but fine tuning for the application to meet demand needs nailed down at implementation

Incentivized

• 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.

• Alerting through many different medium as Slack, Email, Webhook etc
• Beautiful and unlimited number of dashboards to view your metrics and tweak them as you please
• Log aggregation and powerful Logql to filter and view your logs
• Microservices monitoring
• Large number of plugins and data sources to collect your metrics from almost anywhere

Incentivized

• 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

Incentivized

• Documentation needs to be more clarified since it can be confusing for beginners
• Notification alert message templates need to be simplified

Incentivized

Employees with intermediate SQL and Hive knowledge can generate reports faster than using Datameer . It does have visualization tool but I don't think it is anything that cannot be accomplished by importing the data in Excel

Easy to use for most things, starts to require some planning as your projects get more complex.

Great usage in terms of monitoring of any application from backend to frontend and even any AWS resource via cloud watch and other connectors. Easy to use and configure personalised dash boarding and alerting features. Cost efficient and easy to setup and run, no mazor scaling challenges in terms of managing and maintaining the stack, easy to configure via Prometheus, influx and other connectors

Incentivized

I have compared Datameer with the tools listed above and it blows them out of the water. Datameer is much more user friendly than these tools and is also a lot more powerful. Once the Q1 release comes out with drill down capabilities on the infographics, Datameer will surpass Tableau and Spotfire in visualization.

Grafana is more flexible, readily adopts other tools frameworks instead of forcing you to use their agent, doesn't force you into Vendor lock-in, and embraces open source, self-hosted, and Enterprise. Similar companies would like you to use their specific tooling and don't offer nearly as much flexibility. The other thing I like about Grafana is their storage usage is much lower compared to similar tools and competitors

Incentivized

• 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.

• It has kicked out some of our paid monitoring and visualization tools.
• Now Monitoring, Visualization and Alerting is being done in a single platform.
• It made monitoring and visualization very easy for us.