Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon QuickSight
Score 8.1 out of 10
N/A
N/A
$24
per month per user
Dataiku
Score 8.5 out of 10
N/A
The Dataiku platform unifies data work from analytics to Generative AI. It supports enterprise analytics with visual, cloud-based tooling for data preparation, visualization, and workflow automation.N/A
Looker
Score 8.4 out of 10
N/A
Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.N/A
Pricing
Amazon QuickSightDataikuLooker
Editions & Modules
Reader
$3
per month per user
Author
$24
per month per user
Reader Pro
$24
per month per user
Author Pro
$50
per month per user
Discover
Contact sales team
Business
Contact sales team
Enterprise
Contact sales team
No answers on this topic
Offerings
Pricing Offerings
Amazon QuickSightDataikuLooker
Free Trial
YesYesYes
Free/Freemium Version
NoYesNo
Premium Consulting/Integration Services
NoNoYes
Entry-level Setup FeeNo setup feeNo setup feeRequired
Additional DetailsProspective buyers can also purchase a set number of sessions or questions in lieu of a monthly subscription.Must contact sales team for pricing.
More Pricing Information
Community Pulse
Amazon QuickSightDataikuLooker
Considered Multiple Products
Amazon QuickSight

No answer on this topic

Dataiku

No answer on this topic

Looker
Chose Looker
Looker is more mailable; it allows more dynamic visualisations, filters, drilldowns etc. It's sharing capabilities are also more streamlined than AWS Quicksight. However in contrast to this AWS Quicksight can leverage AWS IAM roles and policies which can be quite scalable. …
Chose Looker
Looker provides really excellent customer service in comparison to other similar products. The sharing aspect of Looker is also a big plus, which allows multiple users to access the data at the same time. We have also found it to stand out among competitors with its dashboard …
Features
Amazon QuickSightDataikuLooker
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Amazon QuickSight
10.0
6 Ratings
20% above category average
Dataiku
-
Ratings
Looker
7.6
133 Ratings
8% below category average
Pixel Perfect reports10.05 Ratings00 Ratings6.7109 Ratings
Customizable dashboards10.06 Ratings00 Ratings8.4132 Ratings
Report Formatting Templates10.06 Ratings00 Ratings7.6114 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Amazon QuickSight
10.0
6 Ratings
22% above category average
Dataiku
-
Ratings
Looker
7.1
131 Ratings
12% below category average
Drill-down analysis10.06 Ratings00 Ratings6.7127 Ratings
Formatting capabilities10.06 Ratings00 Ratings6.8129 Ratings
Integration with R or other statistical packages10.04 Ratings00 Ratings6.055 Ratings
Report sharing and collaboration10.06 Ratings00 Ratings8.8130 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Amazon QuickSight
8.4
6 Ratings
2% above category average
Dataiku
-
Ratings
Looker
8.1
127 Ratings
1% below category average
Publish to Web8.03 Ratings00 Ratings7.8105 Ratings
Publish to PDF10.03 Ratings00 Ratings8.1112 Ratings
Report Versioning10.05 Ratings00 Ratings7.983 Ratings
Report Delivery Scheduling7.04 Ratings00 Ratings8.5109 Ratings
Delivery to Remote Servers7.03 Ratings00 Ratings00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Amazon QuickSight
10.0
6 Ratings
22% above category average
Dataiku
-
Ratings
Looker
6.6
127 Ratings
19% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)10.06 Ratings00 Ratings7.7123 Ratings
Location Analytics / Geographic Visualization10.05 Ratings00 Ratings7.5109 Ratings
Predictive Analytics10.03 Ratings00 Ratings4.66 Ratings
Pattern Recognition and Data Mining10.01 Ratings00 Ratings00 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Amazon QuickSight
10.0
6 Ratings
16% above category average
Dataiku
-
Ratings
Looker
7.5
127 Ratings
12% below category average
Multi-User Support (named login)10.06 Ratings00 Ratings7.8119 Ratings
Role-Based Security Model10.06 Ratings00 Ratings7.3104 Ratings
Multiple Access Permission Levels (Create, Read, Delete)10.06 Ratings00 Ratings7.3121 Ratings
Report-Level Access Control10.01 Ratings00 Ratings7.459 Ratings
Single Sign-On (SSO)10.05 Ratings00 Ratings00 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Amazon QuickSight
3.9
4 Ratings
66% below category average
Dataiku
-
Ratings
Looker
5.4
94 Ratings
35% below category average
Responsive Design for Web Access4.03 Ratings00 Ratings5.590 Ratings
Mobile Application3.52 Ratings00 Ratings5.01 Ratings
Dashboard / Report / Visualization Interactivity on Mobile3.84 Ratings00 Ratings6.084 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Amazon QuickSight
6.0
3 Ratings
25% below category average
Dataiku
-
Ratings
Looker
-
Ratings
REST API6.12 Ratings00 Ratings00 Ratings
Javascript API6.62 Ratings00 Ratings00 Ratings
iFrames7.03 Ratings00 Ratings00 Ratings
Java API6.12 Ratings00 Ratings00 Ratings
Themeable User Interface (UI)7.03 Ratings00 Ratings00 Ratings
Customizable Platform (Open Source)3.03 Ratings00 Ratings00 Ratings
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Amazon QuickSight
-
Ratings
Dataiku
8.6
5 Ratings
3% above category average
Looker
-
Ratings
Connect to Multiple Data Sources00 Ratings8.05 Ratings00 Ratings
Extend Existing Data Sources00 Ratings10.04 Ratings00 Ratings
Automatic Data Format Detection00 Ratings10.05 Ratings00 Ratings
MDM Integration00 Ratings6.52 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Amazon QuickSight
-
Ratings
Dataiku
10.0
5 Ratings
17% above category average
Looker
-
Ratings
Visualization00 Ratings10.05 Ratings00 Ratings
Interactive Data Analysis00 Ratings10.05 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Amazon QuickSight
-
Ratings
Dataiku
9.5
5 Ratings
15% above category average
Looker
-
Ratings
Interactive Data Cleaning and Enrichment00 Ratings9.05 Ratings00 Ratings
Data Transformations00 Ratings9.05 Ratings00 Ratings
Data Encryption00 Ratings10.04 Ratings00 Ratings
Built-in Processors00 Ratings10.04 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Amazon QuickSight
-
Ratings
Dataiku
8.5
5 Ratings
1% above category average
Looker
-
Ratings
Multiple Model Development Languages and Tools00 Ratings8.05 Ratings00 Ratings
Automated Machine Learning00 Ratings8.05 Ratings00 Ratings
Single platform for multiple model development00 Ratings8.05 Ratings00 Ratings
Self-Service Model Delivery00 Ratings10.04 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Amazon QuickSight
-
Ratings
Dataiku
8.0
5 Ratings
6% below category average
Looker
-
Ratings
Flexible Model Publishing Options00 Ratings8.05 Ratings00 Ratings
Security, Governance, and Cost Controls00 Ratings8.05 Ratings00 Ratings
Best Alternatives
Amazon QuickSightDataikuLooker
Small Businesses
Yellowfin
Yellowfin
Score 8.7 out of 10
Jupyter Notebook
Jupyter Notebook
Score 8.5 out of 10
Yellowfin
Yellowfin
Score 8.7 out of 10
Medium-sized Companies
Reveal
Reveal
Score 10.0 out of 10
Posit
Posit
Score 10.0 out of 10
Reveal
Reveal
Score 10.0 out of 10
Enterprises
Kyvos Semantic Layer
Kyvos Semantic Layer
Score 9.5 out of 10
Posit
Posit
Score 10.0 out of 10
Kyvos Semantic Layer
Kyvos Semantic Layer
Score 9.5 out of 10
All AlternativesView all alternativesView all alternativesView all alternatives
User Ratings
Amazon QuickSightDataikuLooker
Likelihood to Recommend
10.0
(6 ratings)
10.0
(4 ratings)
8.3
(132 ratings)
Likelihood to Renew
-
(0 ratings)
-
(0 ratings)
9.3
(8 ratings)
Usability
10.0
(2 ratings)
10.0
(1 ratings)
8.8
(12 ratings)
Availability
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
Performance
-
(0 ratings)
-
(0 ratings)
6.0
(1 ratings)
Support Rating
9.0
(1 ratings)
9.4
(3 ratings)
8.8
(14 ratings)
Implementation Rating
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
Configurability
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
Ease of integration
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
Professional Services
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
Vendor post-sale
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Amazon QuickSightDataikuLooker
Likelihood to Recommend
Amazon AWS
Amazon Quicksight is a truly cloud-based solution so it works perfectly fine and saves a lot of expense in terms of hardware and maintenance. We can maintain it by ourselves by giving commands on UI. If you have connectivity issues then it can cause headaches because it's a cloud platform and it's a bit costly as compared to other services
Read full review
Dataiku
Dataiku is an awesome tool for data scientists. It really makes our lives easier. It is also really good for non technical users to see and follow along with the process. I do think that people can fall into the trap of using it without any knowledge at all because so much is automated, but I dont think that is the fault of Dataiku.
Read full review
Google
When data drives potential for new orders, Looker earns its place in our tech stack. If, on the other hand, we are hoping for pipeline generation, Looker is useful if you are willing to repeatedly go check customer utilizations .... it is not appropriate if you are hoping to automate data analysis for this purpose.
Read full review
Pros
Amazon AWS
  • Easily to set up for data sources, already supports quite a few of AWS and non-AWS data sources
  • Cost friendly since users are charged only for basis of usage
Read full review
Dataiku
  • Allows users to collaborate and monitor individual tasks
  • Caters to both types of analysts, coders and non-coders, alike
  • Integrate graphs and plots with visualization tools such as Tableau
Read full review
Google
  • Show visited pages - sessions, pageviews - which programs are viewed the most.
  • Displays session source/medium views to see where users are coming from.
  • It shows the video titles, URLs, and event counts so we can monitor the performance of our videos.
  • It gives a graphic face to the numbers, such as using bar charts, pie graphs, and other charts to show user trends or which channels are driving engagement.
  • Our clients like to see the top pages visited for a month.
  • I like the drop-and-drag approach, and building charts is a little easier than it was before.
Read full review
Cons
Amazon AWS
  • It is still immature as a cloud-based BI tool.
  • Its functionality is about 40-50% of its competitor's products.
  • Application is still a little buggy and non-intuitive at times.
Read full review
Dataiku
  • The integrated windows of frontend and backend in web applications make it cumbersome for the developer.
  • When dealing with multiple data flows, it becomes really confusing, though they have introduced a feature (Zones) to cater to this issue.
  • Bundling, exporting, and importing projects sometimes create issues related to code environment. If the code environment is not available, at least the schema of the flow we should be able to import should be.
Read full review
Google
  • Documentation is scarce, and very difficult to find when you need it.
  • Pricing is unclear, particularly as you look to scale your reports across the business.
  • Data from other sources is not represented in the system as well as first party Google services.
Read full review
Likelihood to Renew
Amazon AWS
No answers on this topic
Dataiku
No answers on this topic
Google
I give it this rating because it deems as effective, I am able to complete majority of my tasks using this app. It is very helpful when analyzing the data provided and shown in the app and it's just overall a great app for Operational use, despite the small hiccups it has (live data).
Read full review
Usability
Amazon AWS
It was helping us a lot as per our business needs. Reporting is way easy with QuickSight that helps us to understand the performance of campaigns effectively and so does the performance of sales individual. We can analyze the data and create a new strategies effectively. Setup and maintenance was way easy
Read full review
Dataiku
The user experience is very good. Everything feels intuitive and "flows" (sorry excuse the pun) so nicely, and the customization level is also appropriate to the tool. Even as a newer data scientist, it felt easy to use and the explanations/tutorials were very good. The documentation is also at a good level
Read full review
Google
Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
Read full review
Reliability and Availability
Amazon AWS
No answers on this topic
Dataiku
No answers on this topic
Google
No objections
Read full review
Performance
Amazon AWS
No answers on this topic
Dataiku
No answers on this topic
Google
Somehow resources heavy, both on server and client. I recommned at least 50Mbs data rate and high performance desktop comouter to be abke to run comolex tasks and configure larger amount of data. On the other hand, the client does not need to worry when viewing, the performance is usually ok
Read full review
Support Rating
Amazon AWS
They provide proper support when needed. They are always ready to provide the box solution and make things easier for users.
Read full review
Dataiku
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.
Read full review
Google
Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
Read full review
Implementation Rating
Amazon AWS
No answers on this topic
Dataiku
No answers on this topic
Google
Very satisfied, easy to implement
Read full review
Alternatives Considered
Amazon AWS
All of the other reporting platforms my organization has used previously were within our CRM and not a standalone program. In that we were very limited in being able to slice and dice the data the way that we wanted to
Read full review
Dataiku
Anaconda is mainly used by professional data scientists who have profound knowledge of Python coding, mainly used for building some new algorithm block or some optimization, then the module will be integrated into the Dataiku pipeline/workflow. While Dataiku can be used by even other kinds of users.
Read full review
Google
Looker Studio, you can easily report on data from various sources without programming. Looker Studio is available at no charge for creators and report viewers. Enterprise customers who upgrade to Looker Studio Pro will receive support and expanded administrative features, including team content management. So it's good.
Read full review
Contract Terms and Pricing Model
Amazon AWS
No answers on this topic
Dataiku
No answers on this topic
Google
Perfect price to performance
Read full review
Return on Investment
Amazon AWS
  • Cost Effective
  • Easy setup and maintenance
Read full review
Dataiku
  • Customer satisfaction
  • Timely project delivery
Read full review
Google
  • Looker has a poignant impact on our business's ROI objectives. As an advertising exchange we have specific goals for daily requests and fill, and having premade Looks to monitor this is an integral piece of our operational capability
  • To facilitate an efficient monthly billing cycle in our organization, Looker is essential to track estimated revenue and impression delivery by publisher. Without the Looks we have set up, we would spend considerably more time and effort segmenting revenue by vertical.
  • Looker's unique value proposition is making analytical tools more digestible to people without conventional analytical experience. Other competing tools like Tableau require considerably more training and context to successfully use, and the ability to easily plot different visualizations is one of its greatest selling points.
Read full review
ScreenShots

Looker Screenshots

Screenshot of a Looker dashboard with a geo chart.