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
Backblaze B2 Cloud Storage
Score 9.6 out of 10
N/A
Backblaze, headquartered in San Mateo, provides cloud storage and online backup, boasting trust with over an exabyte of data from customers in 175 countries. A backup service specialist, Backblaze describes their B2 cloud object storage service as S3 compatible and purpose built to provide simplicity, reliability, and affordability. B2 Cloud Storage is available at $0.005/GB/Month, with single-tier pricing.
N/A
Pricing
Azure Data Lake Storage
Backblaze B2 Cloud Storage
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure Data Lake Storage
Backblaze B2 Cloud Storage
Free Trial
No
No
Free/Freemium Version
No
Yes
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
—
Two pricing models are available: consumption-based pay-as-you-go, and capacity-based storage bundles.
Pay-as-you-go consumption-based cloud storage costs $6/TB per month, with your first 10GB free. Egress is free up to 3x of average monthly data stored, and unlimited to many leading content delivery network (CDN) and compute partners.
Capacity-based storage, called B2 Reserve, is designed for companies looking for all-inclusive pricing on a single invoice. Storage bundles start at 20TB and can be purchased for one, two, or three years. Egress is always free.
We have used both Hadoop and GCS buckets for our storage needs of very large healthcare data. In terms of comparison with the Hadoop distributed Files system, Azure Data Lake Storage always stands in a far better position due to easy integration with various latest and widely …
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 …
We chose Azure Data Lake due to the fact that it was already a product under the Azure application suite. We didn't have to focus on integrating another 3rd party application within our environment. Also due to the fact Azure Data Lake scales its storage pools very efficiently, …
We decided long ago to develop for the Azure platform, so we only evaluate products from within Azure. And Azure Data Lake Storage is really the dominant offering within its space. But to give you a comparison, previously we used to use Azure SQL Database for our analytical …
Microsoft solutions provide great harmony in end-to-end data value creation, and Azure Data Lake Storage is highly compatible with other analytical solutions, e.g., Azure Data Factory and Databricks. So I would say that it is at the heart of the analytical solution in the …
AWS charges you on an hourly basis but Azure has a pricing model of per minute charge. In terms of short term subscriptions, Azure has more flexibility but it is more expensive. Azure has a much better hybrid cloud support in comparison with AWS. AWS provides direct connections …
I am much more familiar with Snowflake. I thought it was fairly straightforward to use and did not have to learn much syntax. With Azure Data Lake Storage, I have had to learn some new syntax and thought there was a steeper learning curve. We selected it because of cost savings.
We looked at the Amazon solution and it did not play as well with our existing tools and added a layer of maintenance that we were not willing to take on at the time. We thought that our Microsoft contract and support were good and that our internal team had the knowledge to …
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 …
Because they continuously had times they required updating the account and there were hiccups when that happened, over time, I became skeptical of their ability to keep my files secure. They were the first cloud backup storage company I had ever used and I stayed with them for …
Backblaze B2 Cloud Storage is the best of the bunch. It's priced better than the more expensive cloud based solutions and more robust than the file storage sites like DropBox or Google Drive.
Backblaze is definitely the cheapest and most cost effective out of the 6 other services I've used in the past.
For personal use, they are by and away the best service available. For business use, I believe they are a very strong contender to be the #3 guys behind AWS and Linode.
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.
I would consider Backblaze as a second or a third tier backup solution. Not in terms of quality, but I'd recommend having at least one more backup saved somewhere else. And with the cost as low as theirs, Backblaze is the perfect solution. It also provides very friendly recovery options on both the personal and business side.
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.
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.
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.
Because they continuously had times they required updating the account and there were hiccups when that happened, over time, I became skeptical of their ability to keep my files secure. They were the first cloud backup storage company I had ever used and I stayed with them for almost two decades. Then it happened that we did have to do a recovery two different times because of hardware failures. It was anything but a smooth or complete recovery, and their price kept rising as their service declined. Hundreds of files were totally lost in the process. I guessed that among their strategies, it might well have been a re-focus on their part to build up their enterprise accounts and didn't seem to care about small business. I finally had enough and left them as a client.
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.
The per-byte pricing has saved us 30% over the competing Wasabi service which charges on a three-month minimum which causes us to pay for deleted objects.