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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Grafana
Score 8.5 out of 10
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Grafana is a data visualization tool developed by Grafana Labs in New York. It is available open source, managed (Grafana Cloud), or via an enterprise edition with enhanced features. Grafana has pluggable data source model and comes bundled with support for popular time series databases like Graphite. It also has built-in support for cloud monitoring vendors like Amazon Cloudwatch, Microsoft Azure and SQL databases like MySQL. Grafana can combine data from many places into a single dashboard.
$0
Pricing
Datameer
Grafana
Editions & Modules
Team/Enterprise
Contact for pricing
per month Team
Grafana Cloud - Pro
$8
per month up to 1 active user
Grafana Cloud - Free
Free
10k metrics + 50GB logs + 50GB traces up to 3 active users
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
Grafana is a one stop solution for all application monitoring needs. In our organisation, we use nodeJs. We run it using pm2. Since we didn't use Grafana it was hard for us to know if an app has stopped working unless we find it ourselves because our other app components were failing, or someone called us up and told about the situation. We were already using Grafana for monitoring our Ubuntu servers, but we hadn't had set it up for our app monitoring. Somehow we decided to monitor our nodeJs app with Grafana. It's a really good decision we made. We used Grafana nodeJs module "prom-client" for our node app which brought us relief from app failing situations. Since we have implemented Grafana for our Node app, it has helped us to monitor every health aspect of our node app. Now we have set up alerts based on heap-memory, so when heap memory goes beyond a set threshold we get notified and take the right steps ultimately saving our app from crashing and of course from losing business and reputation.
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.
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
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.
Grafana has a direct plugin to Icinga monitoring solution and allowed for easy configuration for us. At the time of implementation, other services did not have such an integration. As we already had a very customized and heavily introduced monitoring solution in place, we needed settings that could plug into the system quickly and efficiently. This was the case with Grafana and allowed us to have all the integrations we needed with services such as Icinga