Dataiku vs. Grafana

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 8.6 out of 10
N/A
Dataiku is a French startup and its product, DSS, is a challenger to market incumbents and features some visual tools to assist in building workflows.N/A
Grafana
Score 8.6 out of 10
N/A
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
DataikuGrafana
Editions & Modules
Discover
Contact sales team
Business
Contact sales team
Enterprise
Contact sales 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
Grafana Cloud - Advanced
Volume Discounts
custom data usage custom active users
Grafana - Enterprise Stack
Custom Pricing
Offerings
Pricing Offerings
DataikuGrafana
Free Trial
YesYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
DataikuGrafana
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
9.1
4 Ratings
7% above category average
Grafana
-
Ratings
Connect to Multiple Data Sources10.04 Ratings00 Ratings
Extend Existing Data Sources10.04 Ratings00 Ratings
Automatic Data Format Detection10.04 Ratings00 Ratings
MDM Integration6.52 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
10.0
4 Ratings
17% above category average
Grafana
-
Ratings
Visualization9.94 Ratings00 Ratings
Interactive Data Analysis10.04 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
10.0
4 Ratings
19% above category average
Grafana
-
Ratings
Interactive Data Cleaning and Enrichment10.04 Ratings00 Ratings
Data Transformations10.04 Ratings00 Ratings
Data Encryption10.04 Ratings00 Ratings
Built-in Processors10.04 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.7
4 Ratings
2% above category average
Grafana
-
Ratings
Multiple Model Development Languages and Tools5.14 Ratings00 Ratings
Automated Machine Learning10.04 Ratings00 Ratings
Single platform for multiple model development10.04 Ratings00 Ratings
Self-Service Model Delivery10.04 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Dataiku
9.0
4 Ratings
5% above category average
Grafana
-
Ratings
Flexible Model Publishing Options9.04 Ratings00 Ratings
Security, Governance, and Cost Controls9.04 Ratings00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Dataiku
-
Ratings
Grafana
8.0
4 Ratings
5% below category average
Pixel Perfect reports00 Ratings7.04 Ratings
Customizable dashboards00 Ratings10.04 Ratings
Report Formatting Templates00 Ratings7.04 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Dataiku
-
Ratings
Grafana
8.2
3 Ratings
2% above category average
Drill-down analysis00 Ratings8.03 Ratings
Formatting capabilities00 Ratings8.03 Ratings
Integration with R or other statistical packages00 Ratings8.03 Ratings
Report sharing and collaboration00 Ratings9.03 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Dataiku
-
Ratings
Grafana
9.2
3 Ratings
10% above category average
Publish to Web00 Ratings9.03 Ratings
Publish to PDF00 Ratings9.03 Ratings
Report Versioning00 Ratings9.03 Ratings
Report Delivery Scheduling00 Ratings9.03 Ratings
Delivery to Remote Servers00 Ratings10.03 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Dataiku
-
Ratings
Grafana
7.5
3 Ratings
9% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.03 Ratings
Location Analytics / Geographic Visualization00 Ratings8.03 Ratings
Predictive Analytics00 Ratings7.03 Ratings
Pattern Recognition and Data Mining00 Ratings8.01 Ratings
Best Alternatives
DataikuGrafana
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Score 7.8 out of 10
Medium-sized Companies
Mathematica
Mathematica
Score 8.2 out of 10
Mathematica
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Score 8.2 out of 10
Enterprises
IBM SPSS Modeler
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Score 7.8 out of 10
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User Ratings
DataikuGrafana
Likelihood to Recommend
10.0
(4 ratings)
10.0
(4 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
9.4
(3 ratings)
-
(0 ratings)
User Testimonials
DataikuGrafana
Likelihood to Recommend
Dataiku
Dataiku DSS is very well suited to handle large datasets and projects which requires a huge team to deliver results. This allows users to collaborate with each other while working on individual tasks. The workflow is easily streamlined and every action is backed up, allowing users to revert to specific tasks whenever required. While Dataiku DSS works seamlessly with all types of projects dealing with structured datasets, I haven't come across projects using Dataiku dealing with images/audio signals. But a workaround would be to store the images as vectors and perform the necessary tasks.
Read full review
Grafana Labs
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.
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Pros
Dataiku
  • The intuitiveness of this tool is very good.
  • Click or Code - If you are a coder, you can code. If you are a manager, you can wrangle with data with visuals
  • The way you can control things, the set of APIs gives a lot of flexibility to a developer.
Read full review
Grafana Labs
  • It visualizes metrics very well coming from any well known data source.
  • It sends alerts to collaboration channels when a threshold is breeched.
  • Graphs and dashboards are portable (Graph-as-a-Code).
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Cons
Dataiku
  • End product deployment.
Read full review
Grafana Labs
  • Functions to customize values
  • Improved user experience
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Usability
Dataiku
As I have described earlier, the intuitiveness of this tool makes it great as well as the variety of users that can use this tool. Also, the plugins available in their repository provide solutions to various data science problems.
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Grafana Labs
No answers on this topic
Support Rating
Dataiku
The support team is very helpful, and even when we discover the missing features, after providing enough rational reasons and requirements, they put into it their development pipeline for the future release.
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Grafana Labs
No answers on this topic
Alternatives Considered
Dataiku
Strictly for Data Science operations, Anaconda can be considered as a subset of Dataiku DSS. While Anaconda supports Python and R programming languages, Dataiku also provides this facility, but also provides GUI to creates models with just a click of a button. This provides the flexibility to users who do not wish to alter the model hyperparameters in greater depths. Writing codes to extract meaningful data is time consuming compared to Dataiku's ability to perform feature engineering and data transformation through click of a button.
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Grafana Labs
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
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Return on Investment
Dataiku
  • Given its open source status, only cost is the learning curve, which is minimal compared to time savings for data exploration.
  • Platform also ease tracking of data processing workflow, unlike Excel.
  • Build-in data visualizations covers many use cases with minimal customization; time saver.
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Grafana Labs
  • Helps us to keep our application and server up all time
  • Dashboards are easy to share with others
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ScreenShots