Azure Data Lake Storage vs. Google Cloud Dataflow

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Data Lake Storage
Score 8.3 out of 10
N/A
Azure Data Lake Storage Gen2 is a highly scalable and cost-effective data lake solution for big data analytics. It combines the power of a high-performance file system with massive scale and economy to help you speed your time to insight. Data Lake Storage Gen2 extends Azure Blob Storage capabilities and is optimized for analytics workloads.N/A
Google Cloud Dataflow
Score 8.8 out of 10
N/A
Google offers Cloud Dataflow, a managed streaming analytics platform for real-time data insights, fraud detection, and other purposes.N/A
Pricing
Azure Data Lake StorageGoogle Cloud Dataflow
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data Lake StorageGoogle Cloud Dataflow
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
Azure Data Lake StorageGoogle Cloud Dataflow
Considered Both Products
Azure Data Lake Storage
Chose Azure Data Lake Storage
Simpler to use, in my opinion. It is also slightly cheaper.
Google Cloud Dataflow

No answer on this topic

Features
Azure Data Lake StorageGoogle Cloud Dataflow
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Azure Data Lake Storage
-
Ratings
Google Cloud Dataflow
7.3
2 Ratings
9% below category average
Real-Time Data Analysis00 Ratings8.02 Ratings
Visualization Dashboards00 Ratings5.01 Ratings
Data Ingestion from Multiple Data Sources00 Ratings9.02 Ratings
Low Latency00 Ratings9.02 Ratings
Integrated Development Tools00 Ratings6.01 Ratings
Data wrangling and preparation00 Ratings7.01 Ratings
Linear Scale-Out00 Ratings8.02 Ratings
Machine Learning Automation00 Ratings6.02 Ratings
Data Enrichment00 Ratings8.02 Ratings
Best Alternatives
Azure Data Lake StorageGoogle Cloud Dataflow
Small Businesses
Backblaze B2 Cloud Storage
Backblaze B2 Cloud Storage
Score 8.6 out of 10
IBM Streams (discontinued)
IBM Streams (discontinued)
Score 9.0 out of 10
Medium-sized Companies
Azure Blob Storage
Azure Blob Storage
Score 9.0 out of 10
Confluent
Confluent
Score 9.3 out of 10
Enterprises
Azure Blob Storage
Azure Blob Storage
Score 9.0 out of 10
Spotfire Streaming
Spotfire Streaming
Score 5.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure Data Lake StorageGoogle Cloud Dataflow
Likelihood to Recommend
8.2
(13 ratings)
8.0
(1 ratings)
User Testimonials
Azure Data Lake StorageGoogle Cloud Dataflow
Likelihood to Recommend
Microsoft
Azure Data Lake is an absolutely essential piece of a modern data and analytics platform. Over the past 2 years, our usage of Azure Data Lake as a reporting source has continued to grow and far exceeds more traditional sources like MS SQL, Oracle, etc.
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Google
It is best in cases where you have batch as well as streaming data. Also in some cases where you have batch data right now and in future you will get streaming data. In those cases Dataflow is very good. Also in cases where most of your infra is on GCP. It might not be good when you already are on AWS or Azure. And also you want in-depth control over security and management. Then you can directly use Apache beam over Dataflow.
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Pros
Microsoft
  • Setting up Azure Data Lake Storage account, container is quite easy
  • Access from anywhere and easy maintenance
  • Integration with Azure Data Factory service for end to end pipeline is pretty easy
  • Can store Any form of data (Structured, Unstructured, Semi) in faster manner
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Google
  • Streaming, Real time work load
  • Batch processing
  • Auto scaling
  • flexible pricing
Read full review
Cons
Microsoft
  • study for the certifications also to have them as a reference for work when you have any questions about applying a configuration to the equipment.
  • The Internet interface is simple and easy to use. Capacity is good and it's good that HP continues to innovate with this technology
Read full review
Google
  • More templates for Bigquery and App Engine. There is only limited options for templates so the things we use can limit.
  • I would like native connectors for Excel (XLSX) to reduce the need for custom wrappers in financial pipelines.
  • Debugging Google Cloud Dataflow using only logs in Cloud Logging can be overwhelming sometimes, and it’s not always obvious which specific element in the flow caused a failure. IT uses a lot of time.
Read full review
Usability
Microsoft
No answers on this topic
Google
It really saved a lot of time and it's flexibility really can give you infra which is future-proof for most of the use cases may it be streaming or batch data. And with this you can avoid use of resource-heavy big data offerings.
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Alternatives Considered
Microsoft
Azure Data Lake Storage from a functionality perspective is a much easier solution to work with. It's implementation from Amazon EMR went smooth, and continued usage is definitely better. However, Amazon EMR was significantly cheaper overall between the high transaction fees and cost of storage due to growth. The two both have their advantages and disadvantages, but the functionality of Azure Data Lake Storage outweighed it's cost
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Google
Google Cloud Dataproc Cloud Datafusion
Read full review
Return on Investment
Microsoft
  • Instead of having separate pools of storage for data we are now operating on a single layer platform which has cut down on time spent on maintaining those separate pools.
  • We have had more of an ROI with the scalability as we are able to control costs of storage when need be.
  • We are able to operate in a more streamlined approach as we are able to stay within the Azure suite of products and integrate seamlessly with the rest of the applications in our cloud-based infrastructure
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Google
  • cost saving from managing our own data center for ETL servers
  • consumption based pricing
  • with auto scaling feature, we were able to expand components to support work load
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ScreenShots