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Big Data Analytics Software
Pig
Hadoop HDFS
Pig-vs-Hadoop HDFS
Compare Apache Pig and Hadoop HDFS
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At a Glance
Pricing
Ratings
Features
Reviews
Alternatives
Discussions
Add Product
Apache Pig
(21)
3.9
out of
5
Apache Pig
By
The Apache Software Foundation
Hadoop HDFS
(141)
4.4
out of
5
Hadoop HDFS
By
The Apache Software Foundation
At a Glance
Star Rating
(21)
3.9
out of
5
(141)
4.4
out of
5
Market Segments
Enterprise (65.0% of reviews)
Information
Enterprise (55.0% of reviews)
Information
Pros & Cons
Not enough data
Data Processing
(1)
Data Security
(1)
Increased Costs
(1)
Maintenance Issues
(1)
Entry-Level Pricing
No pricing available
No pricing available
Apache Pig
Star Rating
(21)
3.9
out of
5
Market Segments
Enterprise (65.0% of reviews)
Information
Pros & Cons
Not enough data
Entry-Level Pricing
No pricing available
Learn more about Apache Pig
Hadoop HDFS
Star Rating
(141)
4.4
out of
5
Market Segments
Enterprise (55.0% of reviews)
Information
Pros & Cons
Data Processing
(1)
Data Security
(1)
Increased Costs
(1)
Maintenance Issues
(1)
Entry-Level Pricing
No pricing available
Learn more about Hadoop HDFS
Apache Pig vs Hadoop HDFS
Reviewers felt that Hadoop HDFS meets the needs of their business better than Apache Pig.
When comparing quality of ongoing product support, reviewers felt that Hadoop HDFS is the preferred option.
For feature updates and roadmaps, our reviewers preferred the direction of Hadoop HDFS over Apache Pig.
Pricing
Entry-Level Pricing
Apache Pig
No pricing available
Hadoop HDFS
No pricing available
Free Trial
Apache Pig
No trial information available
Hadoop HDFS
No trial information available
Ratings
Meets Requirements
7.7
17
8.6
118
Ease of Use
7.6
18
7.5
120
Ease of Setup
7.7
5
6.9
47
Ease of Admin
9.0
5
7.1
44
Quality of Support
5.7
17
7.8
103
Has the product been a good partner in doing business?
Not enough data
7.7
42
Product Direction (% positive)
4.2
18
8.0
113
Features by Category
Big Data Processing and Distribution
Hide 10 Features
Show 10 Features
Not enough data
8.7
49
Database
Real-Time Data Collection
Not enough data
8.6
(won by default)
42
Data Distribution
Not enough data
9.1
(won by default)
46
Data Lake
Not enough data
9.0
(won by default)
40
Integrations
Hadoop Integration
Not enough data
9.1
(won by default)
44
Spark Integration
Not enough data
8.8
(won by default)
40
Platform
Machine Scaling
Not enough data
8.3
(won by default)
40
Data Preparation
Not enough data
8.4
(won by default)
43
Spark Integration
Not enough data
8.8
(won by default)
40
Processing
Cloud Processing
Not enough data
8.7
(won by default)
36
Workload Processing
Not enough data
8.5
(won by default)
41
Big Data Analytics
Hide 11 Features
Show 11 Features
9.0
6
Not enough data
Data Transformation
Real-Time Analytics
Not enough data
Not enough data
Data Querying
Not enough data
Not enough data
Connectivity
Hadoop Integration
9.0
(won by default)
5
|
Verified
Not enough data
Spark Integration
Not enough data
Not enough data
Multi-Source Analysis
Not enough data
Not enough data
Data Lake
Feature Not Available
Not enough data
Operations
Data Visualization
Not enough data
Not enough data
Data Workflow
Not enough data
Not enough data
Governed Discovery
Feature Not Available
Not enough data
Embedded Analytics
Feature Not Available
Not enough data
Notebooks
Feature Not Available
Not enough data
Big Data
Hide 11 Features
Show 11 Features
Not enough data
Not enough data
Building Reports
Data Transformation
Not enough data
Not enough data
Data Modeling
Not enough data
Not enough data
WYSIWYG Report Design
Not enough data
Not enough data
Integration APIs
Not enough data
Not enough data
Platform
Mobile User Support
Not enough data
Not enough data
Customization
Not enough data
Not enough data
User, Role, and Access Management
Not enough data
Not enough data
Internationalization
Not enough data
Not enough data
Sandbox / Test Environments
Not enough data
Not enough data
Performance and Reliability
Not enough data
Not enough data
Breadth of Partner Applications
Not enough data
Not enough data
Categories
Categories
Shared Categories
Apache Pig
Hadoop HDFS
Apache Pig and Hadoop HDFS share no categories
Unique Categories
Apache Pig is categorized as
Big Data Analytics
Hadoop HDFS is categorized as
Big Data Processing and Distribution
Reviews
Reviewers' Company Size
Apache Pig
Small-Business
(50 or fewer emp.)
15.0%
Mid-Market
(51-1000 emp.)
20.0%
Enterprise
(> 1000 emp.)
65.0%
Hadoop HDFS
Small-Business
(50 or fewer emp.)
21.7%
Mid-Market
(51-1000 emp.)
23.3%
Enterprise
(> 1000 emp.)
55.0%
Small-Business
(50 or fewer emp.)
15.0%
21.7%
Mid-Market
(51-1000 emp.)
20.0%
23.3%
Enterprise
(> 1000 emp.)
65.0%
55.0%
Reviewers' Industry
Apache Pig
Internet
25.0%
Computer Software
25.0%
Marketing and Advertising
15.0%
Information Technology and Services
15.0%
Telecommunications
5.0%
Other
15.0%
Hadoop HDFS
Computer Software
24.0%
Information Technology and Services
21.7%
Internet
7.8%
Financial Services
4.7%
Banking
3.9%
Other
38.0%
Alternatives
Apache Pig Alternatives
Snowflake
Add Snowflake
Google Cloud BigQuery
Add Google Cloud BigQuery
MATLAB
Add MATLAB
Alteryx
Add Alteryx
See all alternatives
Hadoop HDFS Alternatives
Google Cloud BigQuery
Add Google Cloud BigQuery
Databricks
Add Databricks
Cloudera
Add Cloudera
Hortonworks Data Platform
Add Hortonworks Data Platform
See all alternatives
Discussions
Apache Pig Discussions
Apache Pig has no discussions with answers
See all discussions
Hadoop HDFS Discussions
What is Hadoop HDFS used for?
1 Comment
VV
Hadoop HDFS is used for storing large volume of data... so called 'Big Data'.
Read more
Hadoop HDFS has no more discussions with answers
See all discussions
Ask Pig a Question
Contact Pig
Ask Hadoop HDFS a Question
Contact Hadoop HDFS
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At a Glance
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Apache Pig
Hadoop HDFS
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