Alibaba Cloud Object Storage Service (OSS) vs. Azure Data Lake Storage

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Alibaba Cloud Object Storage Service (OSS)
Score 9.0 out of 10
N/A
Alibaba Cloud Object Storage Service (OSS) is an encrypted object storage service that enables users to store, back up, and archive large amounts of data in the cloud, with a guaranteed reliability of 99.999999999%. RESTful APIs allow storage and access to OSS anywhere on the Internet. Elastically scale capacity and processing capability, and choose from a variety of storage types to optimize the storage cost.N/A
Azure Data Lake Storage
Score 9.6 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
Pricing
Alibaba Cloud Object Storage Service (OSS)Azure Data Lake Storage
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Alibaba Cloud Object Storage Service (OSS)Azure Data Lake Storage
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
Alibaba Cloud Object Storage Service (OSS)Azure Data Lake Storage
User Ratings
Alibaba Cloud Object Storage Service (OSS)Azure Data Lake Storage
Likelihood to Recommend
9.0
(0 ratings)
8.2
(0 ratings)
User Testimonials
Alibaba Cloud Object Storage Service (OSS)Azure Data Lake Storage
Likelihood to Recommend
It will be a very good decision to use Alibaba Object Storage Service if you need a good OSS at a cheap price. Alibaba is the answer to it, but you can't fully rely on it because sometimes on Southeast Asia server locations it will always have a high possibility of loss (can't be accessed, cant upload/download, etc.).
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Azure Data Lake storage is well suited for applications/use cases within organizations where capturing and storing large amounts of data in any format is required, primarily for storing and processing purposes. It's an easy and cost-effective cloud solution for your application data. The ability to integrate with other Azure Services like Azure Databricks and Azure Data Factory is superb.
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Pros
  • Cheap
  • Many location options
  • Well documented
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  • Azure Data Lake Storage is extremely scalable. It allows us to scale up or down endlessly based on what we need including replication.
  • In terms of security, Azure Data Lake Storage fits our requirements really well as we can monitor and encrypt seamlessly. We can also assign permissions through roles and grant network-level access.
  • Due to the fact that it can scale, we are able to monitor the cost of storage and any given time and make financial decisions about our infrastructure based on how small or big we want to scale.
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Cons
  • Reliability
  • Technical support
  • Availability
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  • I'd like to see a better cross-platform native client. Azure Data Explorer is fine, but it's far from the "SSMS" kind of experience SQL Server users are used to.
  • Listing a large number of file is somewhat problematic and slow. Using the native C# library, running directly on an Azure VM, it can take several hours to list just a couple million files.
  • Switching from V1 to V2 requires the creation of a new Storage Account and that's pretty inconvenient.
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Alternatives Considered
I used Backblaze as Alibaba OSS backup, Backblaze is good for you that need a cheap-first OSS service. In our team's opinion, Backblaze isn't too good for our region market (Southeast Asia) but its service can be reliable. So, we choose it as a backup service for Alibaba Object Storage Service.
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The Azure Data Lake solution is designed for organizations that want to take advantage of big data. It provides a data platform that can help developers, data scientists, and analysts store data of any size and format and perform all types of processing and analytics across multiple platforms and programming languages. It can work with your existing solutions, such as identity management and security solutions. It also integrates with other data warehouses and cloud environments. It can be useful for organizations that need the above softwares.
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Return on Investment
  • Storage efficiency
  • Cost efficiency
  • Low-availability
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  • The cost can be high for more advanced work. In some cases, for instance, time limits and lab runtimes may be too short if you are too slow to learn what is explained as you go along.
  • promote flexible team communication. You can create different spaces for different teams, and share files and tasks.
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