Dataiku vs. Toad Data Point

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 7.6 out of 10
N/A
The Dataiku platform unifies all data work, from analytics to Generative AI. It can modernize enterprise analytics and accelerate time to insights with visual, cloud-based tooling for data preparation, visualization, and workflow automation.N/A
Toad Data Point
Score 7.9 out of 10
N/A
Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides data connectivity and desktop data integration, and with the Workbook interface for business users, it provides simple-to-use visual query building and workflow automation.
$365
Pricing
DataikuToad Data Point
Editions & Modules
Discover
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Business
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Enterprise
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Base Edition
$365
Pro Edition
$528
Offerings
Pricing Offerings
DataikuToad Data Point
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
DataikuToad Data Point
Features
DataikuToad Data Point
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
9.1
Ratings
8% above category average
Toad Data Point
-
Ratings
Connect to Multiple Data Sources10.00 Ratings00 Ratings
Extend Existing Data Sources10.00 Ratings00 Ratings
Automatic Data Format Detection10.00 Ratings00 Ratings
MDM Integration6.50 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Dataiku
10.0
Ratings
18% above category average
Toad Data Point
-
Ratings
Visualization9.90 Ratings00 Ratings
Interactive Data Analysis10.00 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Dataiku
10.0
Ratings
20% above category average
Toad Data Point
-
Ratings
Interactive Data Cleaning and Enrichment10.00 Ratings00 Ratings
Data Transformations10.00 Ratings00 Ratings
Data Encryption10.00 Ratings00 Ratings
Built-in Processors10.00 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Dataiku
8.7
Ratings
4% above category average
Toad Data Point
-
Ratings
Multiple Model Development Languages and Tools5.10 Ratings00 Ratings
Automated Machine Learning10.00 Ratings00 Ratings
Single platform for multiple model development10.00 Ratings00 Ratings
Self-Service Model Delivery10.00 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Dataiku
9.0
Ratings
5% above category average
Toad Data Point
-
Ratings
Flexible Model Publishing Options9.00 Ratings00 Ratings
Security, Governance, and Cost Controls9.00 Ratings00 Ratings
Best Alternatives
DataikuToad Data Point
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.1 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
DataikuToad Data Point
Likelihood to Recommend
10.0
(0 ratings)
7.0
(0 ratings)
Usability
10.0
(0 ratings)
10.0
(0 ratings)
Support Rating
9.4
(0 ratings)
-
(0 ratings)
User Testimonials
DataikuToad Data Point
Likelihood to Recommend
I would recommend it because it's an amazing tool for different levels of users. From Business Analysts to Data Scientists to Managers, various employees can make use of this tool to make data-driven decisions. I'm not sure about where it would be less appropriate as I'm using it as Data Scientist and so far it pretty much caters to my need.
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Toad Data Point is the clear tool of choice if the end-user is interested in reports that are relatively simple to build using SQL code and export to Excel. It is less useful if the analyst also needs to run statistical models on the data and visualize the data for those functions I usually use RStudio or Jupyter Notebook which incorporates those features much more seamlessly.
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Pros
  • Very intuitive and easy to use UI, making a lot of types of users can collaborate with each other easily, by visualizing the same workflow.
  • Many building blocks can be reused immediately, avoid a lot of non-standard boiler plate implementation.
  • Data pre-analysis and feature engineering assistance increase the productivity as well as the efficiency of data scientists.
  • Many data connectors support wide range of data storage, from SQL, TeraData, Hadoop Hive, etc.
  • Support from research till final MaaS solution deployment.
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  • Ease of use. It is a very easy product to use without any particular training.
  • Multiple data source connection. It easily connects to multiple data sources which allows you to use different data sources to run reports.
  • Seamless application. Once you set everything up-- whether it is an FTP or export of data-- you can set it and forget it!
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Cons
  • Its community support is very limited at the moment
  • Complex to integrate with automation tools such as Blue Prism
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  • The program can error out when reconnecting to a database from a timeout but that is easily fixed by restarting the program.
  • If you aren't familiar with database tools the UI can be overwhelming to some.
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Usability
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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I find Toad Data Point easy to use for both the novice and the experienced business analyst. If all you desire is to access data and create spreadsheets...this is a snap. Toad Data Point actually has cool data analysis features built into it. The newer workflow interface makes automating steps a snap
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Support Rating
The open source user community is friendly, helpful, and responsive, at times even outdoing commercial software vendors. Documentation is also top notch, and usually resolves issues without the need for human interactions. Great product design, with a focus on user experience, also makes platform use intuitive, thus reducing the need for explicit support.
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No answers on this topic
Alternatives Considered
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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TOAD excels at connecting to divergent data sources, but appears geared more to DBAs than to regular query users. Microsoft's offerings excel against Microsoft SQL Server, but sometimes struggle with other data sources. However, SSMS and vs code excel at many developer productivity/workflow enhancements. vs code, in particular, has a lively extension system that allows it to be tailored for development/querying/model building/etc. That flexibility comes at a cost - the learning curve is steep for new users. The tradeoff between complexity and power may not be good for some environments/users/situations.
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Return on Investment
  • 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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  • It is the least common denominator - not particularly optimized for our environment or workflows.
  • Hangs or slowdowns add anywhere from 5% - 7% for projects utilizing large/complicated data setts. (This could be due to other IT-imposed constraints and not entirely due to TOAD.)
  • Trying to perform some operations requires reading documentation and experimenting in order to figure out the TOAD-specific approaches and commands.
  • It just works (when we understand it). Updates don't break things and things don't suddenly start behaving differently. Best of all, we don't mysteriously lose functionality.
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