Apache Hadoop vs. Talend Data Integration

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 7.4 out of 10
N/A
Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A
Talend Data Integration
Score 7.9 out of 10
N/A
The Talend Integration Suite, from Talend, is a set of tools for data integration.N/A
Pricing
Apache HadoopTalend Data Integration
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HadoopTalend Data Integration
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details——
More Pricing Information
Community Pulse
Apache HadoopTalend Data Integration
Considered Both Products
Hadoop

No answer on this topic

Talend Data Integration
Chose Talend Data Integration

There are code building and code conversions internally in most of these ETL tools. The repository is an overhead in the ETL process. There may be a need for a full-time administrator to manage deployments and monitor jobs. With Talend, it seems to be transparent with the pure …

Top Pros
Top Cons
Features
Apache HadoopTalend Data Integration
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
Apache Hadoop
-
Ratings
Talend Data Integration
8.2
9 Ratings
0% below category average
Connect to traditional data sources00 Ratings8.99 Ratings
Connecto to Big Data and NoSQL00 Ratings7.68 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
Apache Hadoop
-
Ratings
Talend Data Integration
8.9
9 Ratings
6% above category average
Simple transformations00 Ratings8.99 Ratings
Complex transformations00 Ratings8.99 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
Apache Hadoop
-
Ratings
Talend Data Integration
7.9
9 Ratings
3% below category average
Data model creation00 Ratings7.28 Ratings
Metadata management00 Ratings8.08 Ratings
Business rules and workflow00 Ratings8.87 Ratings
Collaboration00 Ratings5.58 Ratings
Testing and debugging00 Ratings8.89 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
Apache Hadoop
-
Ratings
Talend Data Integration
7.8
8 Ratings
5% below category average
Integration with data quality tools00 Ratings7.68 Ratings
Integration with MDM tools00 Ratings8.08 Ratings
Best Alternatives
Apache HadoopTalend Data Integration
Small Businesses

No answers on this topic

Skyvia
Skyvia
Score 9.6 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.9 out of 10
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopTalend Data Integration
Likelihood to Recommend
8.9
(36 ratings)
8.3
(18 ratings)
Likelihood to Renew
9.6
(8 ratings)
-
(0 ratings)
Usability
8.5
(5 ratings)
9.0
(1 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
6.6
(4 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
User Testimonials
Apache HadoopTalend Data Integration
Likelihood to Recommend
Apache
Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
Read full review
Qlik
The same way you design data integration job can be used to design services. It is easy to enhance by custom components and can adapt to all requirements. Talend Data Integration connects to [a] multitude of data sources and streaming service. Very easy interface to design complex applications without spending much time on coding. Easy to learn and master. Talend constantly strives to better itself by adding more features and functionalities.
Read full review
Pros
Apache
  • Handles large amounts of unstructured data well, for business level purposes
  • Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
  • Decent for large ETL pipelines and logging free-for-alls because of this, also.
Read full review
Qlik
  • We used Talend to ETLing the data from myriad sources such Oracle Database, Clarify, Salesforce, Sugar CRM, SQL DB, MQ, Stibo Step, FTP, Netezza, and Files.
  • We leverage Talend transformation capabilities for stitching the data , unions and join
  • We successfully created the final unified set that can be used by business
Read full review
Cons
Apache
  • Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
  • Not for small data sets
  • Data security needs to be ramped up
  • Failure in NameNode has no replication which takes a lot of time to recover
Read full review
Qlik
  • Pricing for sure can be the area for improvement.
  • Real time processing is slow as compared to other tools like Abinitio.
  • While developing batches, it crashes a lot. It may be the issue with me, but I wanted to highlight it.
Read full review
Likelihood to Renew
Apache
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
Read full review
Qlik
No answers on this topic
Usability
Apache
Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.
Read full review
Qlik
We use Talend Data Integration day in and day out. It is the best and easiest tool to jump on to and use. We can build a basic integration super-fast. We could build basic integrations as fast as within the hour. It is also easy to build transformations and use Java to perform some operations.
Read full review
Support Rating
Apache
We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.
Read full review
Qlik
Good support, specially when it relates to PROD environment. The support team has access to the product development team. Things are internally escalated to development team if there is a bug encountered. This helps the customer to get quick fix or patch designed for problem exceptions. I have also seen support showing their willingness to help develop custom connector for a newly available cloud based big data solution
Read full review
Online Training
Apache
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
Read full review
Qlik
No answers on this topic
Alternatives Considered
Apache
Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
Read full review
Qlik
In comparison with the other ETLs I used, Talend is more flexible than Data Services (where you cannot create complex commands). It is similar to Datastage speaking about commands and interfaces. It is more user-friendly than ODI, which has a metadata point of view on its own, while Talend is more classic. It has both on-prem and cloud approaches, while Matillion is only cloud-based.
Read full review
Return on Investment
Apache
  • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
  • Hadoop is quite interesting due to its new and improved features plus innovative functions.
Read full review
Qlik
  • It’s only been a positive RoI with Talend given we’ve interfaced large datasets between critical on-Prem and cloud-native apps to efficiently run our business operations.
  • 40K+ plots data, covering 1K+ crop varieties.
  • 3K+ Customer & their credit data, 3K+ product inventory & pricing.
Read full review
ScreenShots