Anaconda vs. Grafana

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Anaconda
Score 8.3 out of 10
N/A
Anaconda provides access to the foundational open-source Python and R packages used in modern AI, data science, and machine learning. These enterprise-grade solutions enable corporate, research, and academic institutions around the world to harness open-source for competitive advantage and research. Anaconda also provides enterprise-grade security to open-source software through the Premium Repository.
$0
per month
Grafana
Score 8.7 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
AnacondaGrafana
Editions & Modules
Free Tier
$0
per month
Starter Tier
$9
per month
Business Tier
$50
per month per user
Enterprise Tier
60.00+
per month per user
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
AnacondaGrafana
Free Trial
NoYes
Free/Freemium Version
YesYes
Premium Consulting/Integration Services
YesNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Features
AnacondaGrafana
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Anaconda
9.3
25 Ratings
11% above category average
Grafana
-
Ratings
Connect to Multiple Data Sources9.822 Ratings00 Ratings
Extend Existing Data Sources8.024 Ratings00 Ratings
Automatic Data Format Detection9.721 Ratings00 Ratings
MDM Integration9.614 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Anaconda
8.5
25 Ratings
2% above category average
Grafana
-
Ratings
Visualization9.025 Ratings00 Ratings
Interactive Data Analysis8.024 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Anaconda
9.0
26 Ratings
10% above category average
Grafana
-
Ratings
Interactive Data Cleaning and Enrichment8.823 Ratings00 Ratings
Data Transformations8.026 Ratings00 Ratings
Data Encryption9.719 Ratings00 Ratings
Built-in Processors9.620 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Anaconda
9.2
24 Ratings
9% above category average
Grafana
-
Ratings
Multiple Model Development Languages and Tools9.023 Ratings00 Ratings
Automated Machine Learning8.921 Ratings00 Ratings
Single platform for multiple model development10.024 Ratings00 Ratings
Self-Service Model Delivery9.019 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Anaconda
9.5
21 Ratings
11% above category average
Grafana
-
Ratings
Flexible Model Publishing Options10.021 Ratings00 Ratings
Security, Governance, and Cost Controls9.020 Ratings00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Anaconda
-
Ratings
Grafana
8.0
5 Ratings
5% below category average
Pixel Perfect reports00 Ratings6.45 Ratings
Customizable dashboards00 Ratings10.05 Ratings
Report Formatting Templates00 Ratings7.65 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Anaconda
-
Ratings
Grafana
7.3
4 Ratings
9% below category average
Drill-down analysis00 Ratings6.84 Ratings
Formatting capabilities00 Ratings8.04 Ratings
Integration with R or other statistical packages00 Ratings6.24 Ratings
Report sharing and collaboration00 Ratings8.44 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Anaconda
-
Ratings
Grafana
8.7
4 Ratings
3% above category average
Publish to Web00 Ratings7.84 Ratings
Publish to PDF00 Ratings9.04 Ratings
Report Versioning00 Ratings9.04 Ratings
Report Delivery Scheduling00 Ratings8.44 Ratings
Delivery to Remote Servers00 Ratings9.44 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Anaconda
-
Ratings
Grafana
7.7
4 Ratings
6% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.24 Ratings
Location Analytics / Geographic Visualization00 Ratings8.64 Ratings
Predictive Analytics00 Ratings7.04 Ratings
Pattern Recognition and Data Mining00 Ratings6.82 Ratings
Best Alternatives
AnacondaGrafana
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.2 out of 10
Supermetrics
Supermetrics
Score 9.4 out of 10
Medium-sized Companies
Posit
Posit
Score 9.8 out of 10
Mathematica
Mathematica
Score 8.2 out of 10
Enterprises
Posit
Posit
Score 9.8 out of 10
Sigma
Sigma
Score 9.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AnacondaGrafana
Likelihood to Recommend
10.0
(38 ratings)
9.4
(5 ratings)
Likelihood to Renew
7.0
(1 ratings)
-
(0 ratings)
Usability
9.0
(3 ratings)
10.0
(1 ratings)
Support Rating
8.9
(9 ratings)
-
(0 ratings)
User Testimonials
AnacondaGrafana
Likelihood to Recommend
Anaconda
I have asked all my juniors to work with Anaconda and Pycharm only, as this is the best combination for now. Coming to use cases: 1. When you have multiple applications using multiple Python variants, it is a really good tool instead of Venv (I never like it). 2. If you have to work on multiple tools and you are someone who needs to work on data analytics, development, and machine learning, this is good. 3. If you have to work with both R and Python, then also this is a good tool, and it provides support for both.
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Grafana Labs
If I was starting over on an Observability platform, Grafana would be my number 1 choice due to the flexibility and ability to act as a single platform either on its own or combining multiple data sources. The trick however, is that it can be fairly complex to learn and setup, so time is needed to make it a successful implementation. There is a level of cognitive load required
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Pros
Anaconda
  • Anaconda is a one-stop destination for important data science and programming tools such as Jupyter, Spider, R etc.
  • Anaconda command prompt gave flexibility to use and install multiple libraries in Python easily.
  • Jupyter Notebook, a famous Anaconda product is still one of the best and easy to use product for students like me out there who want to practice coding without spending too much money.
Read full review
Grafana Labs
  • 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
Read full review
Cons
Anaconda
  • It can have a cloud interface to store the work.
  • Compatible for large size files.
  • I used R Studio for building Machine Learning models, Many times when I tried to run the entire code together the software would crash. It would lead to loss of data and changes I made.
Read full review
Grafana Labs
  • There are some settings which we can't configure from UI (Web Console).
  • We've open[ed] up configuration files in command line text editors and manually do the settings e.g. LDAP/SSO configuration.
  • In terms of visualization, it's best, but it doesn't support log analysis otherwise it could destroy business of all other visualization tools.
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Likelihood to Renew
Anaconda
It's really good at data processing, but needs to grow more in publishing in a way that a non-programmer can interact with. It also introduces confusion for programmers that are familiar with normal Python processes which are slightly different in Anaconda such as virtualenvs.
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Grafana Labs
No answers on this topic
Usability
Anaconda
I am giving this rating because I have been using this tool since 2017, and I was in college at that time. Initially, I hesitated to use it as I was not very aware of the workings of Python and how difficult it is to manage its dependency from project to project. Anaconda really helped me with that. The first machine-learning model that I deployed on the Live server was with Anaconda only. It was so managed that I only installed libraries from the requirement.txt file, and it started working. There was no need to manually install cuda or tensor flow as it was a very difficult job at that time. Graphical data modeling also provides tools for it, and they can be easily saved to the system and used anywhere.
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Grafana Labs
It is infinitely flexible. If you can imagine it, Grafana can almost certainly do it. Usability may be in the eye of the beholder however, as there is time needed to curate the experience and get the dashboards customized to how it makes sense to you. I know one thing they are working on are more templates, based on data sources
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Support Rating
Anaconda
Anaconda provides fast support, and a large number of users moderate its online community. This enables any questions you may have to be answered in a timely fashion, regardless of the topic. The fact that it is based in a Python environment only adds to the size of the online community.
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Grafana Labs
No answers on this topic
Alternatives Considered
Anaconda
I have experience using RStudio oustide of Anaconda. RStudio can be installed via anaconda, but I like to use RStudio separate from Anaconda when I am worin in R. I tend to use Anaconda for python and RStudio for working in R. Although installing libraries and packages can sometimes be tricky with both RStudio and Anaconda, I like installing R packages via RStudio. However, for anything python-related, Anaconda is my go to!
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Grafana Labs
Grafana blows Nagios out of the water when it comes to customization. The ability to feed almost any data source makes it very versatile and the cost is great.
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Return on Investment
Anaconda
  • It has helped our organization to work collectively faster by using Anaconda's collaborative capabilities and adding other collaboration tools over.
  • By having an easy access and immediate use of libraries, developing times has decreased more than 20 %
  • There's an enormous data scientist shortage. Since Anaconda is very easy to use, we have to be able to convert several professionals into the data scientist. This is especially true for an economist, and this my case. I convert myself to Data Scientist thanks to my econometrics knowledge applied with Anaconda.
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Grafana Labs
  • Time-consuming reports reduced
  • Spotting trends in services
  • Preventive maintenance
Read full review
ScreenShots