What users are saying about
246 Ratings
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Score 8.4 out of 100
24 Ratings
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Score 8.5 out of 100

Likelihood to Recommend

Hadoop

Apache Hadoop (and its subsequent add-ons) are well-suited to larger, unstructured data flows, such as aggregation of web traffic or advertising. Geospatial algorithms and their outputs are well-suited for this kind of aggregation as structuring that data is challenging, but leaving it unstructured and performing queries as-needed is a better fit for most business models. With the advent of data science, I would expect Hadoop fits a LOT of their initial outputs quite well.
Joe Hughes | TrustRadius Reviewer

Databricks Lakehouse Platform

Databricks has helped my teams write PySpark and Spark SQL jobs and test them out before formally integrating them in Spark jobs. Through Databricks we can create parquet and JSON output files. Datamodelers and scientists who are not very good with coding can get good insight into the data using the notebooks that can be developed by the engineers.
Anonymous | TrustRadius Reviewer

Feature Rating Comparison

Platform Connectivity

Hadoop
Databricks Lakehouse Platform
8.3
Connect to Multiple Data Sources
Hadoop
Databricks Lakehouse Platform
9.0
Extend Existing Data Sources
Hadoop
Databricks Lakehouse Platform
9.0
Automatic Data Format Detection
Hadoop
Databricks Lakehouse Platform
7.0

Data Exploration

Hadoop
Databricks Lakehouse Platform
6.0
Visualization
Hadoop
Databricks Lakehouse Platform
6.0
Interactive Data Analysis
Hadoop
Databricks Lakehouse Platform
6.0

Data Preparation

Hadoop
Databricks Lakehouse Platform
8.0
Interactive Data Cleaning and Enrichment
Hadoop
Databricks Lakehouse Platform
8.0
Data Transformations
Hadoop
Databricks Lakehouse Platform
9.0
Data Encryption
Hadoop
Databricks Lakehouse Platform
7.0
Built-in Processors
Hadoop
Databricks Lakehouse Platform
8.0

Platform Data Modeling

Hadoop
Databricks Lakehouse Platform
8.3
Multiple Model Development Languages and Tools
Hadoop
Databricks Lakehouse Platform
9.0
Automated Machine Learning
Hadoop
Databricks Lakehouse Platform
8.0
Single platform for multiple model development
Hadoop
Databricks Lakehouse Platform
9.0
Self-Service Model Delivery
Hadoop
Databricks Lakehouse Platform
7.0

Model Deployment

Hadoop
Databricks Lakehouse Platform
7.5
Flexible Model Publishing Options
Hadoop
Databricks Lakehouse Platform
7.0
Security, Governance, and Cost Controls
Hadoop
Databricks Lakehouse Platform
8.0

Pros

Hadoop

  • HDFS is reliable and solid, and in my experience with it, there are very few problems using it
  • Enterprise support from different vendors makes it easier to 'sell' inside an enterprise
  • It provides High Scalability and Redundancy
  • Horizontal scaling and distributed architecture
Bharadwaj (Brad) Chivukula | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Extremely Flexible in Data Scenarios
  • Fantastic Performance
  • DB is always updating the system so we can have latest features.
Anonymous | TrustRadius Reviewer

Cons

Hadoop

  • Hadoop is a batch oriented processing framework, it lacks real time or stream processing.
  • Hadoop's HDFS file system is not a POSIX compliant file system and does not work well with small files, especially smaller than the default block size.
  • Hadoop cannot be used for running interactive jobs or analytics.
Mrugen Deshmukh | TrustRadius Reviewer

Databricks Lakehouse Platform

  • The navigation through which one would create a workspace is a bit confusing at first. It takes a couple minutes to figure out how to create a folder and upload files since it is not the same as traditional file systems such as box.com
  • Also, when you create a table, if you forgot to copy the link where the table is stored, it is hard to relocate it. Most of the time I would have to delete the table and re-created.
Ann Le | TrustRadius Reviewer

Likelihood to Renew

Hadoop

Hadoop 9.6
Based on 8 answers
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
Bhushan Lakhe | TrustRadius Reviewer

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

Usability

Hadoop

Hadoop 8.5
Based on 5 answers
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.
Blake Baron | TrustRadius Reviewer

Databricks Lakehouse Platform

Databricks Lakehouse Platform 9.0
Based on 1 answer
This has been very useful in my organization for shared notebooks, integrated data pipeline automation and data sources integrations. Integration with AWS is seamless. Non tech users can easily learn how to use Databricks. You can have your company LDAP connect to it for login based access controls to some extent
Anonymous | TrustRadius Reviewer

Support Rating

Hadoop

Hadoop 6.9
Based on 6 answers
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.
Gene Baker | TrustRadius Reviewer

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

Online Training

Hadoop

Hadoop 6.1
Based on 2 answers
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
Bhushan Lakhe | TrustRadius Reviewer

Databricks Lakehouse Platform

No score
No answers yet
No answers on this topic

Alternatives Considered

Hadoop

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.
Anonymous | TrustRadius Reviewer

Databricks Lakehouse Platform

Easier to set up and get started. Less of a learning curve.
Anonymous | TrustRadius Reviewer

Return on Investment

Hadoop

  • Hadoop has allowed us to scale out a few of our tier-1, customer facing applications to provide very fast access to reports and analytics.
  • Hadoop was easily implemented by our Linux team and onboarded by our Hadoop Admins.
  • Hadoop has been a very stable platform and only goes down due to server patching or other maintenance.
Mark McCully | TrustRadius Reviewer

Databricks Lakehouse Platform

  • Rapid growth of analytics within our company.
  • Cost model aligns with usage allowing us to make a reasonable initial investment and scale the cost as we realize the value.
  • Platform is easy to learn and Databricks provides excellent support and training.
  • Platform does not require a large DevOPs investment
Anonymous | TrustRadius Reviewer

Pricing Details

Hadoop

General

Free Trial
Free/Freemium Version
Yes
Premium Consulting/Integration Services
Entry-level set up fee?
No

Hadoop Editions & Modules

Additional Pricing Details

Databricks Lakehouse Platform

General

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services
Entry-level set up fee?
No

Databricks Lakehouse Platform Editions & Modules

Edition
Standard$0.071
Premium$0.101
Enterprise$0.131
  1. Per DBU
Additional Pricing Details

Rating Summary

Likelihood to Recommend

Hadoop
8.2
Databricks Lakehouse Platform
8.9

Likelihood to Renew

Hadoop
9.6
Databricks Lakehouse Platform

Usability

Hadoop
8.5
Databricks Lakehouse Platform
9.0

Performance

Hadoop
8.0
Databricks Lakehouse Platform

Support Rating

Hadoop
6.9
Databricks Lakehouse Platform

Online Training

Hadoop
6.1
Databricks Lakehouse Platform

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