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At a Glance
Market Segments
Enterprise (65.0% of reviews)
Enterprise (62.6% of reviews)
Entry-Level Pricing
No pricing available
Free 3 Users
Apache Pig
Star Rating
(21)3.9 out of 5
Market Segments
Enterprise (65.0% of reviews)
Entry-Level Pricing
No pricing available
Learn more about Apache PigDataiku
Star Rating
(183)4.4 out of 5
Market Segments
Enterprise (62.6% of reviews)
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.
- Users report that Apache Pig has a steeper learning curve compared to Dataiku, which is praised for its user-friendly drag-and-drop interface, making it easier for non-technical users to create data workflows.
- Reviewers mention that Dataiku excels in collaboration features, with strong support for team workflows and project management, while Apache Pig lacks these integrated collaboration tools, making teamwork more challenging.
- G2 users highlight that Dataiku's reporting capabilities, such as its dashboards and scorecards, are significantly more advanced than those of Apache Pig, which has been criticized for its limited reporting interface.
- Users on G2 appreciate Dataiku's extensive library of pre-built algorithms and machine learning models, which streamline the model development process, whereas Apache Pig is noted for its flexibility in handling large datasets but lacks built-in machine learning functionalities.
- Reviewers say that Dataiku's support quality is notably higher, with a rating of 8.5 compared to Apache Pig's 5.7, indicating that users find Dataiku's customer service more responsive and helpful.
- Users report that Apache Pig is highly scalable for big data processing, particularly in Hadoop environments, but they also mention that Dataiku offers better integration options with various data sources, enhancing its versatility in data management.
Pricing
Entry-Level Pricing
Apache Pig
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
Apache Pig
No trial information availableDataiku
Free Trial is available
Ratings
Meets Requirements
7.7
17
8.7
167
Ease of Use
7.6
18
8.7
166
Ease of Setup
7.7
5
8.1
128
Ease of Admin
9.0
5
8.0
60
Quality of Support
5.7
17
8.5
152
Has the product been a good partner in doing business?
Not enough data
8.6
60
Product Direction (% positive)
4.2
18
9.0
163
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
Scalability and Performance - Generative AI Infrastructure
Not enough data
7.8
16
Not enough data
7.5
16
Not enough data
7.4
14
Cost and Efficiency - Generative AI Infrastructure
Not enough data
6.9
15
Not enough data
6.9
7
Not enough data
7.6
7
Integration and Extensibility - Generative AI Infrastructure
Not enough data
7.1
15
Not enough data
7.1
14
Not enough data
7.0
14
Security and Compliance - Generative AI Infrastructure
Not enough data
7.0
14
Not enough data
7.0
14
Not enough data
7.4
14
Usability and Support - Generative AI Infrastructure
Not enough data
7.0
15
Not enough data
6.7
14
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
Not enough data
8.5
44
Not enough data
9.2
39
Connectivity
9.0
5
|
Verified
8.2
38
Not enough data
8.3
40
Not enough data
8.7
41
Feature Not Available
8.9
44
Operations
Not enough data
8.1
42
Not enough data
9.1
41
Feature Not Available
8.7
40
Feature Not Available
8.6
40
Feature Not Available
8.9
35
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
Apache Pig and Dataiku are categorized as Big Data Analytics
Unique Categories
Apache Pig has no unique categories
Dataiku is categorized as Large Language Model Operationalization (LLMOps), Low-Code Machine Learning Platforms, Generative AI Infrastructure, AWS Marketplace, MLOps Platforms, Data Science and Machine Learning Platforms, Machine Learning, Analytics Platforms, Predictive Analytics, and AI Orchestration
Reviews
Reviewers' Company Size
Apache Pig
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
Internet
25.0%
Computer Software
25.0%
Marketing and Advertising
15.0%
Information Technology and Services
15.0%
Telecommunications
5.0%
Other
15.0%
Financial Services
15.2%
Pharmaceuticals
7.6%
Retail
5.8%
Manufacturing
5.3%
Insurance
5.3%
Other
60.8%
Alternatives
Discussions
Apache Pig has no discussions with answers
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
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