Dataiku vs. Mode Analytics

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 7.9 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
Mode
Score 8.2 out of 10
N/A
Mode, or Mode Analytics, from ThoughtSpot since the June 2023 acquisition, is a business intelligence platform that unifies company analytics by bringing data teams and business teams together, so analysts can provide rapid answers to strategic, ad hoc questions. And, business stakeholder can access relevant data to answer their own questions which can often detract more impactful work.N/A
Pricing
DataikuMode Analytics
Editions & Modules
Discover
Contact sales team
Business
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Enterprise
Contact sales team
No answers on this topic
Offerings
Pricing Offerings
DataikuMode
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
Community Pulse
DataikuMode Analytics
Top Pros

No answers on this topic

Top Cons

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Features
DataikuMode Analytics
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
9.1
4 Ratings
7% above category average
Mode Analytics
-
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
9.9
4 Ratings
16% above category average
Mode Analytics
-
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
Mode Analytics
-
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
Mode Analytics
-
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
Mode Analytics
-
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
Mode Analytics
8.5
9 Ratings
4% above category average
Pixel Perfect reports00 Ratings9.34 Ratings
Customizable dashboards00 Ratings8.49 Ratings
Report Formatting Templates00 Ratings7.86 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Dataiku
-
Ratings
Mode Analytics
7.5
9 Ratings
8% below category average
Drill-down analysis00 Ratings7.18 Ratings
Formatting capabilities00 Ratings6.89 Ratings
Integration with R or other statistical packages00 Ratings7.59 Ratings
Report sharing and collaboration00 Ratings8.88 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Dataiku
-
Ratings
Mode Analytics
7.9
8 Ratings
6% below category average
Publish to Web00 Ratings8.15 Ratings
Publish to PDF00 Ratings6.08 Ratings
Report Versioning00 Ratings7.74 Ratings
Report Delivery Scheduling00 Ratings9.48 Ratings
Delivery to Remote Servers00 Ratings8.34 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Dataiku
-
Ratings
Mode Analytics
6.5
9 Ratings
22% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.79 Ratings
Location Analytics / Geographic Visualization00 Ratings5.56 Ratings
Predictive Analytics00 Ratings6.46 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Dataiku
-
Ratings
Mode Analytics
9.4
2 Ratings
9% above category average
Multi-User Support (named login)00 Ratings10.02 Ratings
Role-Based Security Model00 Ratings9.02 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.02 Ratings
Single Sign-On (SSO)00 Ratings9.72 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Dataiku
-
Ratings
Mode Analytics
9.0
1 Ratings
13% above category average
REST API00 Ratings9.01 Ratings
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DataikuMode Analytics
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Score 9.9 out of 10
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User Ratings
DataikuMode Analytics
Likelihood to Recommend
10.0
(4 ratings)
8.2
(9 ratings)
Usability
10.0
(1 ratings)
8.2
(4 ratings)
Support Rating
9.4
(3 ratings)
7.3
(5 ratings)
User Testimonials
DataikuMode Analytics
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.
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ThoughtSpot
Mode is a clear category winner for how it easy it is to go from interactive analysis to professional quality reporting. You can easily do all your SQL and quite a bit of R/Python. If you want to quickly go from your database to simple charts, this is your pick. If you need to do heavier data modeling, scheduling jobs, or ML, you'll need something else, like Databricks. In my opinion, the quality of visualizations and some developer/analyst features make Databricks an unacceptable substitute.
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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.
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ThoughtSpot
  • It allows me to undertake data visualization tasks by creating really insightful charts and dashboards
  • It allows for easy sharing and work collaboration on data analysis tasks
  • Mode has an easier to use SQL editor as well
  • I love how it organizes all our SQL data tables into easy-to-view data we can draw insights on
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Cons
Dataiku
  • End product deployment.
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ThoughtSpot
  • Date ranges aren't always the most intuitive to set, strangely
  • Faster refresh rates would be ideal
  • Would love more dynamic mobile device integration (alerts, etc)
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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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ThoughtSpot
For the advanced user already familiar with Python. It is just the same tool, already managed and connected to the data.
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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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ThoughtSpot
Mode has dedicated agents who are online in a chatroom, ready to take on any questions and provide helpful feedback.
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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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ThoughtSpot
We used both Qlik and Mode at our organization. The mode was used a quick analysis SQL tool while Qlik was our enterprise BI solution.
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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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ThoughtSpot
  • Extremely positive. It's a key feature in our application.
  • Were it not for the account management bit, Mode would be hands-down our recommendation for anyone looking for cloud BI.
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ScreenShots