Apache Hadoop vs. Arcadia Data (discontinued)

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 7.3 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
Arcadia Data (discontinued)
Score 9.3 out of 10
N/A
Arcadia Data, a provider of cloud-native AI-powered business intelligence and real-time analytics, was acquired by Cloudera in late 2019. The solution is no longer available for sale, and its capabilities now augment Cloudera's Data Warehouse.N/A
Pricing
Apache HadoopArcadia Data (discontinued)
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HadoopArcadia Data (discontinued)
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 HadoopArcadia Data (discontinued)
Top Pros
Top Cons
Features
Apache HadoopArcadia Data (discontinued)
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
Arcadia Data (discontinued)
9.2
3 Ratings
12% above category average
Pixel Perfect reports00 Ratings9.03 Ratings
Customizable dashboards00 Ratings9.03 Ratings
Report Formatting Templates00 Ratings9.73 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
Arcadia Data (discontinued)
9.2
3 Ratings
13% above category average
Drill-down analysis00 Ratings9.33 Ratings
Formatting capabilities00 Ratings8.73 Ratings
Integration with R or other statistical packages00 Ratings9.33 Ratings
Report sharing and collaboration00 Ratings9.33 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Apache Hadoop
-
Ratings
Arcadia Data (discontinued)
8.7
3 Ratings
4% above category average
Publish to Web00 Ratings8.33 Ratings
Publish to PDF00 Ratings9.33 Ratings
Report Versioning00 Ratings9.03 Ratings
Report Delivery Scheduling00 Ratings8.03 Ratings
Delivery to Remote Servers00 Ratings9.03 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Apache Hadoop
-
Ratings
Arcadia Data (discontinued)
9.0
3 Ratings
11% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings8.73 Ratings
Location Analytics / Geographic Visualization00 Ratings9.03 Ratings
Predictive Analytics00 Ratings9.33 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Apache Hadoop
-
Ratings
Arcadia Data (discontinued)
8.8
3 Ratings
3% above category average
Multi-User Support (named login)00 Ratings8.73 Ratings
Role-Based Security Model00 Ratings9.33 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.03 Ratings
Single Sign-On (SSO)00 Ratings8.33 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Apache Hadoop
-
Ratings
Arcadia Data (discontinued)
9.0
3 Ratings
12% above category average
Responsive Design for Web Access00 Ratings9.03 Ratings
Mobile Application00 Ratings8.73 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings9.33 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
Apache Hadoop
-
Ratings
Arcadia Data (discontinued)
9.2
3 Ratings
15% above category average
REST API00 Ratings9.33 Ratings
Javascript API00 Ratings9.03 Ratings
iFrames00 Ratings9.33 Ratings
Java API00 Ratings9.03 Ratings
Themeable User Interface (UI)00 Ratings9.03 Ratings
Customizable Platform (Open Source)00 Ratings9.33 Ratings
Best Alternatives
Apache HadoopArcadia Data (discontinued)
Small Businesses

No answers on this topic

BrightGauge
BrightGauge
Score 8.9 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.7 out of 10
Reveal
Reveal
Score 9.9 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.8 out of 10
Jaspersoft Community Edition
Jaspersoft Community Edition
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopArcadia Data (discontinued)
Likelihood to Recommend
8.9
(36 ratings)
9.3
(3 ratings)
Likelihood to Renew
9.6
(8 ratings)
-
(0 ratings)
Usability
8.5
(5 ratings)
9.3
(3 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
9.3
(3 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
User Testimonials
Apache HadoopArcadia Data (discontinued)
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.
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Discontinued Products
It is suitable for companies without a proper data warehouse. He does very well in sales analysis and KPI management. It builds mini data warehouses, is good at data fusion, and interfaces well with other systems. Also, the export function and filter can greatly help you to get only the information you want in the format you want.
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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.
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Discontinued Products
  • Coding is also simple and can be learned easily.
  • It is my favorite because it shows how mathematical models are used in real life.
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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
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Discontinued Products
  • You have to make sure that the information thrown makes sense and is well organized.
  • There is a risk when saving information in the cloud from computer attacks
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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
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Discontinued Products
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.
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Discontinued Products
We can easily provide the information that the user wants and customize it according to their needs. Sometimes a certain report can be used as the basis for creating another one that saves you time to deliver critical information in the shortest amount of time with the best results. Builds mini data warehouses, is good at data fusion, and interfaces well with other systems.
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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.
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Discontinued Products
I love how easy it is to create prototypes due to its simple simulation and modeling system. Other than that, the codes are usually simple and not very complex and it's built-in debugging adds to that ease. is an excellent tool for analyzing, classifying, and visualizing data. I do this most of the time to help me grab huge collections of data.
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Online Training
Apache
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
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Discontinued Products
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.
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Discontinued Products
You can have a good reading of the data, you undoubtedly have cost savings and eliminate unnecessary and repetitive processes, we have unstructured data that, when structured, are elements of information that have become a competitive advantage for our organization, it is undoubtedly a strategic ally for the organization in the decision-making process
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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.
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Discontinued Products
  • Download the report data only in Excel. Unable to download report formats such as colors, fonts, etc.
  • It does not support the presentation of images of our products as part of the analysis.
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ScreenShots