Apache Hadoop vs. Looker

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 7.6 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
Looker
Score 8.3 out of 10
N/A
Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.N/A
Pricing
Apache HadoopLooker
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HadoopLooker
Free Trial
NoYes
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoYes
Entry-level Setup FeeNo setup feeRequired
Additional DetailsMust contact sales team for pricing.
More Pricing Information
Community Pulse
Apache HadoopLooker
Features
Apache HadoopLooker
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
Looker
7.5
133 Ratings
9% below category average
Pixel Perfect reports00 Ratings6.6109 Ratings
Customizable dashboards00 Ratings8.3132 Ratings
Report Formatting Templates00 Ratings7.6114 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Apache Hadoop
-
Ratings
Looker
7.0
131 Ratings
14% below category average
Drill-down analysis00 Ratings6.6127 Ratings
Formatting capabilities00 Ratings6.8129 Ratings
Integration with R or other statistical packages00 Ratings5.955 Ratings
Report sharing and collaboration00 Ratings8.8130 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Apache Hadoop
-
Ratings
Looker
8.0
127 Ratings
3% below category average
Publish to Web00 Ratings7.7105 Ratings
Publish to PDF00 Ratings8.0112 Ratings
Report Versioning00 Ratings7.983 Ratings
Report Delivery Scheduling00 Ratings8.4109 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
Apache Hadoop
-
Ratings
Looker
6.6
127 Ratings
19% below category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.7123 Ratings
Location Analytics / Geographic Visualization00 Ratings7.5109 Ratings
Predictive Analytics00 Ratings4.66 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Apache Hadoop
-
Ratings
Looker
7.4
127 Ratings
14% below category average
Multi-User Support (named login)00 Ratings7.7119 Ratings
Role-Based Security Model00 Ratings7.3104 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings7.3121 Ratings
Report-Level Access Control00 Ratings7.459 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Apache Hadoop
-
Ratings
Looker
5.3
94 Ratings
37% below category average
Responsive Design for Web Access00 Ratings5.390 Ratings
Mobile Application00 Ratings5.01 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings6.084 Ratings
Best Alternatives
Apache HadoopLooker
Small Businesses

No answers on this topic

Yellowfin
Yellowfin
Score 8.6 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Reveal
Reveal
Score 10.0 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 7.1 out of 10
Kyvos Semantic Layer
Kyvos Semantic Layer
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopLooker
Likelihood to Recommend
8.0
(37 ratings)
8.2
(132 ratings)
Likelihood to Renew
9.6
(8 ratings)
9.2
(8 ratings)
Usability
8.0
(6 ratings)
8.8
(12 ratings)
Availability
-
(0 ratings)
10.0
(1 ratings)
Performance
8.0
(1 ratings)
6.0
(1 ratings)
Support Rating
7.5
(3 ratings)
8.8
(14 ratings)
Online Training
6.1
(2 ratings)
-
(0 ratings)
Implementation Rating
-
(0 ratings)
10.0
(1 ratings)
Configurability
-
(0 ratings)
10.0
(1 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
10.0
(1 ratings)
Ease of integration
-
(0 ratings)
10.0
(1 ratings)
Product Scalability
-
(0 ratings)
10.0
(1 ratings)
Professional Services
-
(0 ratings)
10.0
(1 ratings)
Vendor post-sale
-
(0 ratings)
10.0
(1 ratings)
Vendor pre-sale
-
(0 ratings)
10.0
(1 ratings)
User Testimonials
Apache HadoopLooker
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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Google
When data drives potential for new orders, Looker earns its place in our tech stack. If, on the other hand, we are hoping for pipeline generation, Looker is useful if you are willing to repeatedly go check customer utilizations .... it is not appropriate if you are hoping to automate data analysis for this purpose.
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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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Google
  • Show visited pages - sessions, pageviews - which programs are viewed the most.
  • Displays session source/medium views to see where users are coming from.
  • It shows the video titles, URLs, and event counts so we can monitor the performance of our videos.
  • It gives a graphic face to the numbers, such as using bar charts, pie graphs, and other charts to show user trends or which channels are driving engagement.
  • Our clients like to see the top pages visited for a month.
  • I like the drop-and-drag approach, and building charts is a little easier than it was before.
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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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Google
  • Documentation is scarce, and very difficult to find when you need it.
  • Pricing is unclear, particularly as you look to scale your reports across the business.
  • Data from other sources is not represented in the system as well as first party Google services.
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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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Google
I give it this rating because it deems as effective, I am able to complete majority of my tasks using this app. It is very helpful when analyzing the data provided and shown in the app and it's just overall a great app for Operational use, despite the small hiccups it has (live data).
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Usability
Apache
As Hadoop enterprise licensed version is quite fine tuned and easy to use makes it good choice for Hadoop administrators. It’s scalability and integration with Kerberos is good option for authentication and authorisation. installation can be improved. logging can be improved so that it become easier for debugging purposes. parallel processing of data is achieved easily.
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Google
Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
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Reliability and Availability
Apache
No answers on this topic
Google
No objections
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Performance
Apache
No answers on this topic
Google
Somehow resources heavy, both on server and client. I recommned at least 50Mbs data rate and high performance desktop comouter to be abke to run comolex tasks and configure larger amount of data. On the other hand, the client does not need to worry when viewing, the performance is usually ok
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Support Rating
Apache
It's a great value for what you pay, and most Data Base Administrators (DBAs) can walk in and use it without substantial training. I tend to dabble on the analyst side, so querying the data I need feels like it can take forever, especially on higher traffic days like Monday.
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Google
Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
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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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Google
No answers on this topic
Implementation Rating
Apache
No answers on this topic
Google
Very satisfied, easy to implement
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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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Google
Looker Studio, you can easily report on data from various sources without programming. Looker Studio is available at no charge for creators and report viewers. Enterprise customers who upgrade to Looker Studio Pro will receive support and expanded administrative features, including team content management. So it's good.
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Contract Terms and Pricing Model
Apache
No answers on this topic
Google
Perfect price to performance
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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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Google
  • Looker has a poignant impact on our business's ROI objectives. As an advertising exchange we have specific goals for daily requests and fill, and having premade Looks to monitor this is an integral piece of our operational capability
  • To facilitate an efficient monthly billing cycle in our organization, Looker is essential to track estimated revenue and impression delivery by publisher. Without the Looks we have set up, we would spend considerably more time and effort segmenting revenue by vertical.
  • Looker's unique value proposition is making analytical tools more digestible to people without conventional analytical experience. Other competing tools like Tableau require considerably more training and context to successfully use, and the ability to easily plot different visualizations is one of its greatest selling points.
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ScreenShots

Looker Screenshots

Screenshot of a Looker dashboard with a geo chart.