Dataiku vs. Sisense for Cloud Data Teams

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Dataiku
Score 8.6 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
Sisense for Cloud Data Teams
Score 6.5 out of 10
N/A
Sisense for Cloud Data Teams (formerly Periscope Data) is a data visualization tool that allows users to connect to their SQL databases to create sharable, interactive dashboards. In addition to SQL, its analytics integrate with R and Python, allowing users to prep datasets, perform analysis, and create their own visualizations. Sisense acquired Periscope Data in mid-2019.N/A
Pricing
DataikuSisense for Cloud Data Teams
Editions & Modules
Discover
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Business
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Enterprise
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Offerings
Pricing Offerings
DataikuSisense for Cloud Data Teams
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
DataikuSisense for Cloud Data Teams
Top Pros
Top Cons
Features
DataikuSisense for Cloud Data Teams
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Dataiku
9.1
4 Ratings
7% above category average
Sisense for Cloud Data Teams
-
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
10.0
4 Ratings
17% above category average
Sisense for Cloud Data Teams
-
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
Sisense for Cloud Data Teams
-
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
Sisense for Cloud Data Teams
-
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
Sisense for Cloud Data Teams
-
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
Sisense for Cloud Data Teams
9.2
19 Ratings
9% above category average
Pixel Perfect reports00 Ratings8.810 Ratings
Customizable dashboards00 Ratings9.119 Ratings
Report Formatting Templates00 Ratings9.617 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Dataiku
-
Ratings
Sisense for Cloud Data Teams
8.9
19 Ratings
10% above category average
Drill-down analysis00 Ratings9.015 Ratings
Formatting capabilities00 Ratings9.218 Ratings
Integration with R or other statistical packages00 Ratings8.610 Ratings
Report sharing and collaboration00 Ratings8.619 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Dataiku
-
Ratings
Sisense for Cloud Data Teams
9.6
18 Ratings
14% above category average
Publish to Web00 Ratings9.612 Ratings
Publish to PDF00 Ratings9.612 Ratings
Report Versioning00 Ratings9.612 Ratings
Report Delivery Scheduling00 Ratings9.615 Ratings
Delivery to Remote Servers00 Ratings9.47 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Dataiku
-
Ratings
Sisense for Cloud Data Teams
8.7
19 Ratings
6% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.318 Ratings
Location Analytics / Geographic Visualization00 Ratings8.817 Ratings
Predictive Analytics00 Ratings9.011 Ratings
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User Ratings
DataikuSisense for Cloud Data Teams
Likelihood to Recommend
10.0
(4 ratings)
8.4
(19 ratings)
Usability
10.0
(1 ratings)
9.0
(4 ratings)
Support Rating
9.4
(3 ratings)
8.0
(3 ratings)
User Testimonials
DataikuSisense for Cloud Data Teams
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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Sisense Ltd
Sisense for Cloud Data Teams is suited so well for our project that works with lots of data and needs some ways to share data internally or externally with our clients. It's very easy to pull out the data from the sense in best and in a suitable format and moreover a huge number of options are available there to represent the data. All features of this Sisense for cloud data teams software can be taken advantage of if you have a team who are well versed in data analytics, data management, and programming.
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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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Sisense Ltd
  • Rapid deployment of polished T-SQL-based data visualization charts and dashboards. Periscope supports a variety of database technologies, and allows users to write custom queries to display data.
  • Included caching to reduce server load.
  • Outstanding customer service/support, with expert advice as needed.
  • Constant updates and new features.
  • Built-in SQL formatters take the pain out of manipulating date/time objects.
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Cons
Dataiku
  • End product deployment.
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Sisense Ltd
  • Include more appropriate updates in their monthly newsletter as opposed to the general overview that doesn't always have the most pertinent information at the forefront.
  • There are bugs at times when certain dashboards are down, though not in an overwhelming way.
  • If you do not tag something it shows up in multiple views and may be accessible to people that it should not be, though that is a user error it may make sense to prompt for a tag and security setting.
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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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Sisense Ltd
My company has had Periscope for various use cases in the past and I think that this program opens up complex data reports to non-technical people in a really accessible way (even though the learning curve is a big one). We are now integrating Sisense for Cloud Data Teams at a larger level both for internal data exploration and for customer facing dashboards and reports.
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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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Sisense Ltd
Support is world-class through email and ticketing. I only switch to email support when I can’t access help via the help center.
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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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Sisense Ltd
Google Analytics works well but it does not have all of the bells and whistles that Periscope Data offers. Google Analytics is best used in a Google environment but if you are using other tools and programs outside of the Google universe, then Periscope Data is a much better option.
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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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Sisense Ltd
  • Very positive - has allowed us to glean insights quickly and in real time.
  • Definitely helpful for evaluating performance of accounts and employees.
  • Versatile - we even use it with recruiting metrics, our software team uses it to test feature deployment.
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ScreenShots