Apache Pig vs. Hydrograph

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Apache Pig
Score 8.3 out of 10
N/A
Apache Pig is a programming tool for creating MapReduce programs used in Hadoop.N/A
Hydrograph
Score 8.0 out of 10
N/A
Bitwise offers Hydrograph, a data integration tool with provides ETL functionality on Hadoop and Spark.N/A
Pricing
Apache PigHydrograph
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Apache PigHydrograph
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache PigHydrograph
Top Pros
Top Cons
Features
Apache PigHydrograph
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Apache Pig
-
Ratings
Hydrograph
6.0
1 Ratings
32% below category average
Connect to traditional data sources00 Ratings5.01 Ratings
Connecto to Big Data and NoSQL00 Ratings7.01 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Apache Pig
-
Ratings
Hydrograph
6.5
1 Ratings
25% below category average
Simple transformations00 Ratings5.01 Ratings
Complex transformations00 Ratings8.01 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Apache Pig
-
Ratings
Hydrograph
5.4
1 Ratings
40% below category average
Data model creation00 Ratings7.01 Ratings
Business rules and workflow00 Ratings4.01 Ratings
Collaboration00 Ratings5.01 Ratings
Testing and debugging00 Ratings6.01 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Apache Pig
-
Ratings
Hydrograph
6.5
1 Ratings
23% below category average
Integration with data quality tools00 Ratings6.01 Ratings
Integration with MDM tools00 Ratings7.01 Ratings
Best Alternatives
Apache PigHydrograph
Small Businesses

No answers on this topic

Skyvia
Skyvia
Score 9.5 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
InfoSphere
InfoSphere
Score 10.0 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 9.3 out of 10
InfoSphere
InfoSphere
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache PigHydrograph
Likelihood to Recommend
8.1
(9 ratings)
8.0
(1 ratings)
Usability
10.0
(1 ratings)
-
(0 ratings)
Support Rating
6.0
(2 ratings)
-
(0 ratings)
User Testimonials
Apache PigHydrograph
Likelihood to Recommend
Apache
Apache Pig is best suited for ETL-based data processes. It is good in performance in handling and analyzing a large amount of data. it gives faster results than any other similar tool. It is easy to implement and any user with some initial training or some prior SQL knowledge can work on it. Apache Pig is proud to have a large community base globally.
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Bitwise
hydrograph is very usefull when we need to analyze big data. in our scenario it helped a lot with rdms databases
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Pros
Apache
  • Its performance, ease of use, and simplicity in learning and deployment.
  • Using this tool, we can quickly analyze large amounts of data.
  • It's adequate for map-reducing large datasets and fully abstracted MapReduce.
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Bitwise
  • Coupling between complex model and MapReduce framework without reducer procedure was simplified.
  • The ability to reduce execution time and handle partial failure
  • The framework adapts to higherned complex model
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Cons
Apache
  • UDFS Python errors are not interpretable. Developer struggles for a very very long time if he/she gets these errors.
  • Being in early stage, it still has a small community for help in related matters.
  • It needs a lot of improvements yet. Only recently they added datetime module for time series, which is a very basic requirement.
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Bitwise
  • Microsoft azure is recently joined in 2020 that can be improved.
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Usability
Apache
It is quick, fast and easy to implement Apache Pig which makes is quite popular to be used.
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Bitwise
No answers on this topic
Support Rating
Apache
The documentation is adequate. I'm not sure how large of an external community there is for support.
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Bitwise
No answers on this topic
Alternatives Considered
Apache
Apache Pig might help to start things faster at first and it was one of the best tool years back but it lacks important features that are needed in the data engineering world right now. Pig also has a steeper learning curve since it uses a proprietary language compared to Spark which can be coded with Python, Java.
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Bitwise
Snap logic fits good for small/medium whereas hydrograph suits even for Enterprise grade.
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Return on Investment
Apache
  • Higher learning curve than other similar technologies so on-boarding new engineers or change ownership of Apache Pig code tends to be a bit of a headache
  • Once the language is learned and understood it can be relatively straightforward to write simple Pig scripts so development can go relatively quickly with a skilled team
  • As distributed technologies grow and improve, overall Apache Pig feels left in the dust and is more legacy code to support than something to actively develop with.
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Bitwise
  • Their is no tangible ROI for us Management of bid data is easy.
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