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41 Ratings
6 Ratings
Top Rated
41 Ratings
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Score 8.7 out of 101
6 Ratings
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Score 9.2 out of 101

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Likelihood to Recommend

Anaconda

Anaconda is great for academic and private organizations that cannot afford more expensive Python/R package managers. Also, it is more appropriate for intermediate to advanced Python users--Anaconda can be somewhat frustrating for beginners, as it takes some practice to get comfortable with the workflow. I find it particularly useful for working in teams, because if everyone uses the same package manager, it is easier to troubleshoot issues and makes for reproducible research. For wealthier organizations, a premium package management system (with tech support) would be ideal. Anaconda is also great for people working independently on code development.
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JReport

JReport is well suited for enterprise use. It makes creating and managing schedules easy. Each machine in the cluster is capable of functioning in isolation. Load sharing and load balancing options available OOTB are diverse for various types of business needs. The best feature is its ability to detect that a schedule did not complete due to a crash or any other reason and ensure completion through parallel nodes.JReport is not well suited for a small business.
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Feature Rating Comparison

Data Exploration

Anaconda
7.5
JReport
Visualization
Anaconda
7.0
JReport
Interactive Data Analysis
Anaconda
8.0
JReport

Data Preparation

Anaconda
7.0
JReport
Interactive Data Cleaning and Enrichment
Anaconda
7.0
JReport
Data Transformations
Anaconda
8.0
JReport
Data Encryption
Anaconda
6.0
JReport
Built-in Processors
Anaconda
7.0
JReport

Platform Data Modeling

Anaconda
5.7
JReport
Automated Machine Learning
Anaconda
4.0
JReport
Single platform for multiple model development
Anaconda
7.0
JReport
Self-Service Model Delivery
Anaconda
6.0
JReport

Model Deployment

Anaconda
4.5
JReport
Flexible Model Publishing Options
Anaconda
5.0
JReport
Security, Governance, and Cost Controls
Anaconda
4.0
JReport

BI Standard Reporting

Anaconda
JReport
8.7
Pixel Perfect reports
Anaconda
JReport
10.0
Customizable dashboards
Anaconda
JReport
8.5
Report Formatting Templates
Anaconda
JReport
7.5

Ad-hoc Reporting

Anaconda
JReport
9.1
Drill-down analysis
Anaconda
JReport
8.0
Formatting capabilities
Anaconda
JReport
9.5
Integration with R or other statistical packages
Anaconda
JReport
10.0
Report sharing and collaboration
Anaconda
JReport
9.0

Report Output and Scheduling

Anaconda
JReport
9.8
Publish to Web
Anaconda
JReport
10.0
Publish to PDF
Anaconda
JReport
10.0
Report Versioning
Anaconda
JReport
10.0
Report Delivery Scheduling
Anaconda
JReport
10.0
Delivery to Remote Servers
Anaconda
JReport
9.0

Data Discovery and Visualization

Anaconda
JReport
8.2
Pre-built visualization formats (heatmaps, scatter plots etc.)
Anaconda
JReport
8.5
Location Analytics / Geographic Visualization
Anaconda
JReport
7.0
Predictive Analytics
Anaconda
JReport
9.0

Access Control and Security

Anaconda
JReport
9.6
Multi-User Support (named login)
Anaconda
JReport
10.0
Role-Based Security Model
Anaconda
JReport
10.0
Multiple Access Permission Levels (Create, Read, Delete)
Anaconda
JReport
9.5
Single Sign-On (SSO)
Anaconda
JReport
9.0

Mobile Capabilities

Anaconda
JReport
8.0
Responsive Design for Web Access
Anaconda
JReport
8.0

Application Program Interfaces (APIs) / Embedding

Anaconda
JReport
8.2
REST API
Anaconda
JReport
10.0
Javascript API
Anaconda
JReport
8.0
iFrames
Anaconda
JReport
7.0
Java API
Anaconda
JReport
9.0
Themeable User Interface (UI)
Anaconda
JReport
7.0

Pros

  • Anaconda has iPython- Notebook that facilitates code writing in Python
  • It's very easy to install tour preferred the Python version
  • The risk of messing up the libraries is completely eliminated
Mauricio Quiroga-Pascal Ortega profile photo
  • Creates powerful reports and charts
  • Highly customizable and can fit multiple needs
  • Distributed Architecture offers higher reliability and avoids single point of failure
No photo available

Cons

  • Although some other users mentioned the installation is "simple", we did encounter some challenge in a highly controlled environment (due to security reasons).
  • Jupyter Notebook is extremely slow when the client/server side of the network's speed/bandwidth is not balanced.
  • Bootstrapping Anaconda takes too long, sometimes I even started doubting it would respond any more.
  • If there are extra python packages you need but are not by default installed by Anaconda, then some efforts will be required to figure out how to put them in the right place.
No photo available
  • Designing UI for a new report can be time consuming
  • Building an entirely new report requires a fully trained resource with knowledge of using the Designer tool
  • Upgrades can be complex
No photo available

Alternatives Considered

ANACONDA VS Alteryx Analytics: Even though I find Alteryx to be an excellent tool for managing extremely massive data, Anaconda is much better and easy for analytics.Anaconda VS. MicroStrategy Analytics: Compared with Anaconda, MicroStrategy Analytics is very difficult to use and counter-intuitiveAnaconda VS. Power BI For Office 365: One of the main advantages of BI for Office 364 is its capacity to data connectivity. However, it's very hard to edit data connections, once BI for Office is deployed in other platforms
Mauricio Quiroga-Pascal Ortega profile photo
No photo available

Return on Investment

  • Anaconda helps a lot for standardizing the Python analytic environment, speeding up the research progress, saving a lot of extra setting up time.
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Pricing Details

Anaconda

General
Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No
Additional Pricing Details

JReport

General
Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Yes
Entry-level set up fee?
Optional
Additional Pricing Details