15 Ratings
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Score 8.7 out of 100
78 Ratings
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Score 8.2 out of 100

Likelihood to Recommend

Dataiku DSS

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.
Anonymous | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

It is perfectly suited for statistical analyses, but I would not recommend JMP for users who do not have a statistical background. As previously stated, the learning curve is exceptionally steep, and I think that it would prove to be too steep for those without statistical background/knowledge
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Dataiku DSS
8.9
JMP Statistical Discovery Software from SAS
Connect to Multiple Data Sources
Dataiku DSS
9.8
JMP Statistical Discovery Software from SAS
Extend Existing Data Sources
Dataiku DSS
9.6
JMP Statistical Discovery Software from SAS
Automatic Data Format Detection
Dataiku DSS
9.6
JMP Statistical Discovery Software from SAS
MDM Integration
Dataiku DSS
6.5
JMP Statistical Discovery Software from SAS

Data Exploration

Dataiku DSS
8.5
JMP Statistical Discovery Software from SAS
Visualization
Dataiku DSS
8.3
JMP Statistical Discovery Software from SAS
Interactive Data Analysis
Dataiku DSS
8.7
JMP Statistical Discovery Software from SAS

Data Preparation

Dataiku DSS
8.9
JMP Statistical Discovery Software from SAS
Interactive Data Cleaning and Enrichment
Dataiku DSS
9.4
JMP Statistical Discovery Software from SAS
Data Transformations
Dataiku DSS
9.1
JMP Statistical Discovery Software from SAS
Data Encryption
Dataiku DSS
8.1
JMP Statistical Discovery Software from SAS
Built-in Processors
Dataiku DSS
8.8
JMP Statistical Discovery Software from SAS

Platform Data Modeling

Dataiku DSS
8.2
JMP Statistical Discovery Software from SAS
Multiple Model Development Languages and Tools
Dataiku DSS
6.9
JMP Statistical Discovery Software from SAS
Automated Machine Learning
Dataiku DSS
8.6
JMP Statistical Discovery Software from SAS
Single platform for multiple model development
Dataiku DSS
8.6
JMP Statistical Discovery Software from SAS
Self-Service Model Delivery
Dataiku DSS
8.6
JMP Statistical Discovery Software from SAS

Model Deployment

Dataiku DSS
8.1
JMP Statistical Discovery Software from SAS
Flexible Model Publishing Options
Dataiku DSS
8.0
JMP Statistical Discovery Software from SAS
Security, Governance, and Cost Controls
Dataiku DSS
8.2
JMP Statistical Discovery Software from SAS

BI Standard Reporting

Dataiku DSS
JMP Statistical Discovery Software from SAS
9.5
Pixel Perfect reports
Dataiku DSS
JMP Statistical Discovery Software from SAS
10.0
Customizable dashboards
Dataiku DSS
JMP Statistical Discovery Software from SAS
9.0

Ad-hoc Reporting

Dataiku DSS
JMP Statistical Discovery Software from SAS
9.1
Drill-down analysis
Dataiku DSS
JMP Statistical Discovery Software from SAS
9.1
Formatting capabilities
Dataiku DSS
JMP Statistical Discovery Software from SAS
9.5
Integration with R or other statistical packages
Dataiku DSS
JMP Statistical Discovery Software from SAS
8.5
Report sharing and collaboration
Dataiku DSS
JMP Statistical Discovery Software from SAS
9.2

Report Output and Scheduling

Dataiku DSS
JMP Statistical Discovery Software from SAS
8.5
Publish to Web
Dataiku DSS
JMP Statistical Discovery Software from SAS
7.4
Publish to PDF
Dataiku DSS
JMP Statistical Discovery Software from SAS
9.6
Report Versioning
Dataiku DSS
JMP Statistical Discovery Software from SAS
7.0
Report Delivery Scheduling
Dataiku DSS
JMP Statistical Discovery Software from SAS
10.0

Data Discovery and Visualization

Dataiku DSS
JMP Statistical Discovery Software from SAS
9.0
Pre-built visualization formats (heatmaps, scatter plots etc.)
Dataiku DSS
JMP Statistical Discovery Software from SAS
9.3
Location Analytics / Geographic Visualization
Dataiku DSS
JMP Statistical Discovery Software from SAS
9.2
Predictive Analytics
Dataiku DSS
JMP Statistical Discovery Software from SAS
8.6

Pros

Dataiku DSS

  • 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.
Devesh Singh | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

  • JMP is designed from the ground-up to be a tool for analysts who do not have PhDs in Statistics without in anyway "dumbing down" the level of statistical analysis applied. In fact, JMP operationalizes the most advanced statistical methods. JMP's design is centred on the JMP data table and dialog boxes. It is data focused not jargon-focussed. So, unlike other software where you must choose the correct statistical method (eg. contingency, ANOVA, linear regression, etc.), with JMP you simply assign the columns in a dialog into roles in the analysis and it chooses the correct statistical method. It's a small thing but it reflects the thinking of the developers: analysts know their data and should only have to think about their data. Analyses should flow from there.
  • JMP makes most things interactive and visual. This makes analyses dynamic and engaging and obviates the complete dependence on understanding p-values and other statistical concepts(though they are all there) that are often found to be foreign or intimidating.
  • One of the best examples of this is JMP's profiler. Rather than looking at static figures in a spreadsheet, or a series of formulas, JMP profiles the formulas interactively. You can monitor the effect of changing factors (Xs) and see how they interact with other factors and the responses. You can also specify desirability (maximize, maximize, match-target) and their relative importances to find factor settings that are optimal. I have spent many lengthy meetings working with the profiler to review design and process options with never a dull moment.
  • The design of experiments (DOE) platform is simply outstanding and, in fact, the principal developers of it have won several awards. Over the last 15 years, using methods broadly known as an "exchange algorithm," JMP can create designs that are far more flexible than conventional designs. This means, for example, that you can create a design with just the interactions that are of interest; you can selectively choose those interactions that are not of interest and drop collecting their associated combinations.
  • Classical designs are rigid. For example, a Box-Benhken or other response surface design can have only continuous factors. What if you want to investigate these continuous factors along with other categorical factors such as different categorical variables such as materials or different furnace designs and look at the interaction among all factors? This common scenario cannot be handled with conventional designs but are easily accommodated with JMP's Custom DOE platform.
  • The whole point of DOE is to be able to look at multiple effects comprehensively but determine each one's influence in near or complete isolation. The custom design platform, because it produces uniques designs, provides the means to evaluate just how isolated the effects are. This can be done before collecting data because this important property of the DOE is a function of the design, not the data. By evaluating these graphical reports of the quality of the design, the analyst can make adjustments, adding or reducing runs, to optimize cost, effort and expected learnings.
  • Over the last number of releases of JMP, which appear about every 18 months now, they have skipped the dialog boxes to direct, drag-and-drop analyses for building graphs and tables as well as Statistical Process Control Charts. Interactivity such as this allows analysts to "be in the moment." As with all aspects of JMP, they are thinking of their subject matter without the cumbersomeness associated with having to think about statistical methods. It's rather like a CEO thinking about growing the business without having to think about every nuance and intricacy of accounting. The statistical thinking is burned into the design of JMP.
  • Without data analysis is not possible. Getting data into a situation where it can be analyzed can be a major hassle. JMP can pull data from a variety of sources including Excel spreadsheets, CSV, direct data feeds and databases via ODBC. Once the data is in JMP it has all the expected data manipulation capabilities to form it for analysis.
  • Back in 2000 JMP added a scripting language (JMP Scripting Language or JSL for short) to JMP. With JSL you can automate routine analyses without any coding, you can add specific analyses that JMP does not do out of the box and you can create entire analytical systems and workflows. We have done all three. For example, one consumer products company we are working with now has a need for a variant of a popular non-parametric analysis that they have employed for years. This method will be found in one of the menus and appear as if it were part of JMP to begin with. As for large systems, we have written some that are tens of thousands of lines that take the form of virtual labs and process control systems among others.
  • JSL applications can be bundled and distributed as JMP Add-ins which make it really easy for users to add to their JMP installation. All they need to do is double-click on the add-in file and it's installed. Pharmaceutical companies and others who are regulated or simply want to control the JMP environment can lock-down JMP's installation and prevent users from adding or changing functionality. Here, add-ins can be distributed from a central location that is authorized and protected to users world-wide.
  • JMP's technical support is second to none. They take questions by phone and email. I usually send email knowing that I'll get an informed response within 24 hours and if they cannot resolve a problem they proactively keep you informed about what is being done to resolve the issue or answer your question.
Wayne Levin | TrustRadius Reviewer

Cons

Dataiku DSS

  • End product deployment.
Anonymous | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

  • In general JMP is much better fit for a general "data mining" type application. If you want a specific statistics based toolbox, (meaning you just want to run some predetermined test, like testing for a different proportion) then JMP works, but is not the best. JMP is much more suited to taking a data set and starting from "square 1" and exploring it through a range of analytics.
  • The CPK (process capability) module output is shockingly poor in JMP. This sticks out because, while as a rule everything in JMP is very visual and presentable, the CPK graph is a single-line-on-grey-background drawing. It is not intuitive, and really doesn't tell the story. (This is in contrast with a capability graph in Minitab, which is intuitive and tells a story right off.) This is also the case with the "guage study" output, used for mulivary analysis in a Six Sigma project. It is not intuitive and you need to do a lot of tweaking to make the graph tell you the story right off. I have given this feedback to JMP, and it is possible that it will be addressed in future versions.
  • I've never heard of JMP allowing floating licenses in a company. This will ALWAYS be a huge sticking point for small to middle size companies, that don't have teams people dedicated to analytics all day. If every person that would do problem solving needs his/her own seat, the cost can be prohibitive. (It gets cheaper by the seat as you add licenses, but for a small company that might get no more than 5 users, it is still a hard sell.)
Eric Burton | TrustRadius Reviewer

Likelihood to Renew

Dataiku DSS

No score
No answers yet
No answers on this topic

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 10.0
Based on 16 answers
JMP has been good at releasing updates and adding new features and their support is good. Analytics is quick and you don't need scripting/programming experience. It has been used organization wide, and works well in that respect. Open source means that there are concerns regarding timely support. Cheap licensing and easy to maintain.
Anonymous | TrustRadius Reviewer

Usability

Dataiku DSS

Dataiku DSS 10.0
Based on 1 answer
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.
Devesh Singh | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 10.0
Based on 5 answers
The overall usability of JMP is extremely good. What I really love about it is its ability to be useable for novices who have no coding experience, which is not the case with most other, similar, programs. It can output a fast and easy analysis without too much prior coding or statistical knowledge.
Shelby Bowden | TrustRadius Reviewer

Support Rating

Dataiku DSS

Dataiku DSS 9.1
Based on 3 answers
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.
Anonymous | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 9.2
Based on 8 answers
Support is great and give ease of contact, rapid response, and willingness to 'stick to the task' until resolution or acknowledgement that the problem would have to be resolved in a future build. Basically, one gets the very real sense that another human being is sensitive to your problems - great or small.
Anonymous | TrustRadius Reviewer

Online Training

Dataiku DSS

No score
No answers yet
No answers on this topic

JMP Statistical Discovery Software from SAS

JMP Statistical Discovery Software from SAS 7.9
Based on 3 answers
I have not used your online training. I use JMP manuals and SAS direct help.
Mark Davis | TrustRadius Reviewer

Alternatives Considered

Dataiku DSS

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.
Anonymous | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

JMP is more user-friendly, in my opinion, as it doesn't require any coding or searching for hours into cryptic folders for the analysis you want to perform. It is also very good for recording large data sets. Moreover, it is compatible with Microsoft Excel.
Thibaut Angevin | TrustRadius Reviewer

Return on Investment

Dataiku DSS

  • 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.
Anonymous | TrustRadius Reviewer

JMP Statistical Discovery Software from SAS

  • ROI: Even if the cost can be high, the insights you get out of the tool would definitely be much more valuable than the actual cost of the software. In my case, most of the results of your analysis were shown to the client, who was blown away, making the money spent well worth for us.
  • Potential negative: If you are not sure your team will use it, there's a chance you will just waste money. Sometimes the IT department (usually) tries to deploy a better tool for the entire organization but they keep using the old tool they are used too (most likely MS Excel).
Gabriel Chiararia | TrustRadius Reviewer

Screenshots

Dataiku DSS

Pricing Details

Dataiku DSS

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Dataiku DSS Editions & Modules

Edition
DiscoverContact sales team
BusinessContact sales team
EnterpriseContact sales team
  1. none
Additional Pricing Details

JMP Statistical Discovery Software from SAS

General

Free Trial
Yes
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

JMP Statistical Discovery Software from SAS Editions & Modules

Edition
Personal License$125.001
Corporate License$1,510.002
  1. per month
  2. Per Month Per Unit
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Dataiku DSS
8.7
JMP Statistical Discovery Software from SAS
9.4

Likelihood to Renew

Dataiku DSS
JMP Statistical Discovery Software from SAS
10.0

Usability

Dataiku DSS
10.0
JMP Statistical Discovery Software from SAS
10.0

Reliability and Availability

Dataiku DSS
JMP Statistical Discovery Software from SAS
10.0

Performance

Dataiku DSS
JMP Statistical Discovery Software from SAS
10.0

Support Rating

Dataiku DSS
9.1
JMP Statistical Discovery Software from SAS
9.2

Online Training

Dataiku DSS
JMP Statistical Discovery Software from SAS
7.9

Implementation Rating

Dataiku DSS
JMP Statistical Discovery Software from SAS
9.6

Scalability

Dataiku DSS
JMP Statistical Discovery Software from SAS
10.0

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