Introducing G2.ai, the future of software buying.Try now
Compare Arcadia Enterprise and Dataiku 
Featured Products
At a Glance
Market Segments
Enterprise (78.6% of reviews)
Enterprise (62.2% of reviews)
Entry-Level Pricing
No pricing available
Free 3 Users
Arcadia Enterprise
Star Rating
(15)3.6 out of 5
Market Segments
Enterprise (78.6% of reviews)
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Arcadia EnterpriseDataiku
Star Rating
(186)4.4 out of 5
Market Segments
Enterprise (62.2% of reviews)
Pros & Cons
Entry-Level Pricing
Free 3 Users
Free Trial is available
Browse all 3 pricing plansSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that Dataiku excels in user satisfaction, with a significantly higher overall rating compared to Arcadia Enterprise. Users appreciate its intuitive graphical user interface, which simplifies managing code and datasets, making the experience more enjoyable and efficient.
- Users say that Dataiku's ease of use is a standout feature, allowing for quick prototyping and MVP development. This flexibility is highlighted by feedback praising its plug-and-play capabilities, which streamline the workflow for data projects.
- According to verified reviews, Arcadia Enterprise shines in its ability to handle large datasets, enabling users to create dashboards rapidly. This capability is particularly noted as a significant advantage over traditional BI tools, which struggle with similar tasks.
- Reviewers mention that while Dataiku offers a robust support system, Arcadia Enterprise also provides valuable features like scheduled mail reporting, which users find beneficial for keeping stakeholders updated without manual intervention.
- G2 reviewers highlight that Dataiku's strong focus on data workflow management is a key differentiator, with users noting its effectiveness in aligning datasets and code visually, which enhances productivity and reduces complexity.
- Users express mixed feelings about the implementation process for both products. While Dataiku is praised for its user-friendly onboarding, Arcadia Enterprise is noted for its slightly more complex setup, though it still maintains a decent ease of setup rating.
Pricing
Entry-Level Pricing
Arcadia Enterprise
No pricing availableDataiku
Install Dataiku on Your Infrastructure
Free
3 Users
Download Free Edition on Mac, Linux, or virtual machine | Collaborate with up to 3 users | Prepare data and build basic data projects and apps (no deployment, automation, governance)
- Visual Data Prep & AutoML
- Full Code (Python, R) Data Prep & ML
- The LLM Mesh
Free Trial
Arcadia Enterprise
Free Trial is available
Dataiku
Free Trial is available
Ratings
Meets Requirements
6.7
11
8.7
168
Ease of Use
7.4
12
8.8
167
Ease of Setup
8.3
9
8.1
129
Ease of Admin
7.7
8
8.0
60
Quality of Support
7.4
12
8.6
153
Has the product been a good partner in doing business?
7.6
9
8.6
60
Product Direction (% positive)
8.1
12
9.0
164
Features by Category
Reports
Not enough data
7.8
76
Not enough data
7.7
75
Not enough data
7.5
76
Not enough data
7.5
74
Not enough data
7.6
76
Data Preparation
Not enough data
8.7
65
Not enough data
8.2
63
Data Modeling and Blending
Not enough data
8.6
62
Not enough data
8.6
62
Not enough data
8.7
62
Generative AI
Not enough data
7.9
50
Not enough data
8.0
50
Agentic AI - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Self Service
Not enough data
8.2
75
Not enough data
8.6
74
Not enough data
8.4
74
Not enough data
7.9
74
Not enough data
8.7
74
Not enough data
8.1
74
Deployment & Integration - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics
Not enough data
8.4
74
Not enough data
7.8
75
Not enough data
8.0
74
Performance & Scalability - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Advanced Analytics & Modeling - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI Capabilities - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalized Intelligence - Analytics Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
Deployment
Not enough data
8.1
15
Not enough data
8.7
15
Not enough data
8.6
15
Not enough data
8.9
15
Not enough data
9.0
15
Deployment
Not enough data
7.8
12
Not enough data
8.5
13
Not enough data
8.5
13
Not enough data
8.8
13
Not enough data
8.8
13
Management
Not enough data
7.6
13
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
7.8
13
Operations
Not enough data
8.5
13
Not enough data
8.3
13
Not enough data
8.8
13
Management
Not enough data
7.5
12
Not enough data
8.5
13
Not enough data
7.9
13
Generative AI
Not enough data
8.3
6
Not enough data
8.3
6
System
Not enough data
8.6
75
Model Development
Not enough data
8.4
78
Not enough data
8.8
77
Not enough data
8.6
78
Not enough data
8.5
77
Model Development
Not enough data
8.5
77
Machine/Deep Learning Services
Not enough data
8.0
74
Not enough data
8.1
74
Not enough data
7.9
73
Not enough data
7.9
72
Machine/Deep Learning Services
Not enough data
7.7
68
Not enough data
7.9
69
Deployment
Not enough data
8.1
74
Not enough data
8.2
77
Not enough data
8.3
76
Generative AI
Not enough data
8.1
60
Not enough data
8.0
60
Not enough data
7.7
59
Agentic AI - Data Science and Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Responses
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Automation - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Autonomy - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
7.9
17
Not enough data
7.6
17
Not enough data
7.6
15
Cost and Efficiency - Generative AI Infrastructure
Not enough data
7.1
16
Not enough data
7.3
8
Not enough data
7.9
8
Integration and Extensibility - Generative AI Infrastructure
Not enough data
7.3
16
Not enough data
7.3
15
Not enough data
7.2
15
Security and Compliance - Generative AI Infrastructure
Not enough data
7.2
15
Not enough data
7.2
15
Not enough data
7.6
15
Usability and Support - Generative AI Infrastructure
Not enough data
7.2
16
Not enough data
6.9
15
Integration - Machine Learning
Not enough data
8.7
26
Learning - Machine Learning
Not enough data
8.3
27
Not enough data
7.9
28
Not enough data
8.0
28
Large Language Model Operationalization (LLMOps)Hide 15 FeaturesShow 15 Features
Not enough data
7.5
11
Prompt Engineering - Large Language Model Operationalization (LLMOps)
Not enough data
8.3
11
Not enough data
7.9
11
Inference Optimization - Large Language Model Operationalization (LLMOps)
Not enough data
7.1
11
Model Garden - Large Language Model Operationalization (LLMOps)
Not enough data
7.7
11
Custom Training - Large Language Model Operationalization (LLMOps)
Not enough data
7.6
11
Application Development - Large Language Model Operationalization (LLMOps)
Not enough data
7.9
11
Model Deployment - Large Language Model Operationalization (LLMOps)
Not enough data
8.5
11
Not enough data
7.7
11
Guardrails - Large Language Model Operationalization (LLMOps)
Not enough data
6.8
11
Not enough data
6.7
11
Model Monitoring - Large Language Model Operationalization (LLMOps)
Not enough data
7.3
11
Not enough data
7.4
11
Security - Large Language Model Operationalization (LLMOps)
Not enough data
7.6
11
Not enough data
7.4
11
Gateways & Routers - Large Language Model Operationalization (LLMOps)
Not enough data
7.1
11
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Workflow Design & Integration - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Performance Optimization & Analytics - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Governance & Compliance Controls - AI Orchestration
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Ingestion & Preparation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Model Construction & Automation - Low-Code Machine Learning Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Statistical Tool
Not enough data
8.2
35
Not enough data
8.5
35
Not enough data
8.0
35
Data Analysis
Not enough data
8.5
37
Not enough data
8.8
37
Decision Making
Not enough data
8.6
35
Not enough data
7.9
36
Not enough data
7.8
35
Not enough data
8.6
36
Generative AI
Not enough data
8.6
20
Not enough data
8.3
20
Data Transformation
6.1
6
|
Verified
8.5
44
Not enough data
9.2
39
Connectivity
8.0
9
|
Verified
8.2
38
Not enough data
8.3
40
7.9
7
|
Verified
8.7
41
9.0
5
|
Verified
8.9
44
Operations
8.0
9
|
Verified
8.1
42
6.7
5
|
Verified
9.1
41
7.3
5
|
Verified
8.7
40
Not enough data
8.6
40
Feature Not Available
8.9
35
Agentic AI - AI Agents
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Building Reports
Not enough data
8.5
91
Not enough data
8.6
88
Not enough data
7.7
85
Not enough data
8.1
89
Platform
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Arcadia Enterprise and Dataiku are categorized as Big Data Analytics
Unique Categories
Arcadia Enterprise has no unique categories
Dataiku is categorized as Low-Code Machine Learning Platforms, AI Orchestration, Large Language Model Operationalization (LLMOps), Generative AI Infrastructure, AWS Marketplace, MLOps Platforms, Data Science and Machine Learning Platforms, Machine Learning, Analytics Platforms, Predictive Analytics, and AI Agents For Business Operations
Reviews
Reviewers' Company Size
Arcadia Enterprise
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Dataiku
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Banking
35.7%
Insurance
14.3%
Telecommunications
7.1%
Pharmaceuticals
7.1%
Media Production
7.1%
Other
28.6%
Financial Services
15.1%
Pharmaceuticals
7.6%
Retail
5.8%
Manufacturing
5.2%
Insurance
5.2%
Other
61.0%
Alternatives
Discussions
How does Arcadia Data differ from other analytics/BI tools in the market?
1 Comment
Official Response from Arcadia Enterprise
One key difference is how data is handled in big data environments like data lakes. When used in a data lake, other analytics/BI tools require moving data to...Read more
Can Arcadia Data run in the cloud?
1 Comment
Official Response from Arcadia Enterprise
Yes, Arcadia Data software runs in the cloud in addition to on-premises. Arcadia Data has an analytics engine with a distributed architecture that can take...Read more
Can Arcadia Data be embedded in your custom web applications?
1 Comment
Official Response from Arcadia Enterprise
Yes, Arcadia Data can be seamlessly embedded in your web applications in a white-label manner. The UI style can be customized to match the look and feel of...Read more
Can I securely work on my sensitive data?
2 Comments
PB
Hi,
DSS is on-premise software but we also provide a Amazon image and Docker if desired. You can try DSS on your own computer for free by downloading the...Read more
What data visualization and reporting methods do you support?
2 Comments
Official Response from Dataiku
Dataiku supports a number of tools for engaging stakeholders and team members, including:
- 25 types of interactive charts
- Dashboards that allow you...Read more
Can I test Data Science Studio ?
1 Comment
PB
Hi,
First of all, thanks for your interest. You can try DSS out for free on Dataiku's website (www.dataiku.com/try). You can download the Community Edition...Read more
Hunting for software insights?
With over 3 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
