Apache CouchDB is an HTTP + JSON document database with Map Reduce views and bi-directional replication. The Couch Replication Protocol is implemented in a variety of projects and products that span computing environments from globally distributed server-clusters, over mobile phones to web browsers.
N/A
Azure Blob Storage
Score 9.0 out of 10
N/A
Microsoft's Blob Storage system on Azure is designed to make unstructured data available to customers anywhere through REST-based object storage.
$0.01
per GB/per month
Google Cloud Storage
Score 9.0 out of 10
N/A
Google Cloud Storage is unified object storage for developers and enterprises.
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Pricing
Apache CouchDB
Azure Blob Storage
Google Cloud Storage
Editions & Modules
No answers on this topic
Block Blobs
$0.0081
per GB/per month
Azure Data Lake Storage
$0.0081
per GB/per month
Files
$0.058
per GB/per month
Managed Discs
$1.54
per month
No answers on this topic
Offerings
Pricing Offerings
CouchDB
Azure Blob Storage
Google Cloud Storage
Free Trial
No
Yes
No
Free/Freemium Version
No
No
No
Premium Consulting/Integration Services
No
No
No
Entry-level Setup Fee
No setup fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Apache CouchDB
Azure Blob Storage
Google Cloud Storage
Considered Multiple Products
CouchDB
No answer on this topic
Azure Blob Storage
Verified User
Contributor
Chose Azure Blob Storage
Azure Blob Storage was used only because we were already using it for other projects, and it has a good reputation for being a reliable cloud provider. It also has widespread regional availability and allows for data replication. It can also be easily accessed via the API or by …
We chose Google Cloud Storage for its superior integration with BigQuery and AI/ML tools. Unlike AWS S3’s complex tiering or Azure’s offline archive, Google Cloud Storage offers millisecond access even for archival classes. This simplified our architecture while providing the …
Great for REST API development, if you want a small, fast server that will send and receive JSON structures, CouchDB is hard to beat. Not great for enterprise-level relational database querying (no kidding). While by definition, document-oriented databases are not relational, porting or migrating from relational, and using CouchDB as a backend is probably not a wise move as it's reliable, but It may not always be highly available.
In Azure, it is the storage to use, and in my view, the Blob Storage offers more, or finer-grained configuration options, than S3. So my recommendation would be to check in detail what is offered. As the Blob Storage is more or less a Microsoft exclusive product, the "interoperability" is more limited than, for example, with S3. The S3 is more widely adopted, and if you cannot exclude a migration scenario from one cloud provider to another, additional effort is needed.
[Google Cloud Storage is] great for storing and playing large video files, and even sharing them securely with others, whether or not they are part of your organization. No need to download video files before watching, and can also be used to store any other kinds of files.
It can replicate and sync with web browsers via PouchDB. This lets you keep a synced copy of your database on the client-side, which offers much faster data access than continuous HTTP requests would allow, and enables offline usage.
Simple Map/Reduce support. The M/R system lets you process terabytes of documents in parallel, save the results, and only need to reprocess documents that have changed on subsequent updates. While not as powerful as Hadoop, it is an easy to use query system that's hard to screw up.
Sharding and Clustering support. As of CouchDB 2.0, it supports clustering and sharding of documents between instances without needing a load balancer to determine where requests should go.
Master to Master replication lets you clone, continuously backup, and listen for changes through the replication protocol, even over unreliable WAN links.
Really great, easy to use interface helps us manage files easily. Storage is fast and inexpensive, so we don't have to spin up storage instances locally
Great set of command-line tools to manage data and storage options via scripts and apps, as well as an SDK means we can build GCS into our orchestration and operations tools
Robust integration with other Google cloud tools means that we don't have to think too hard about using GCS for a variety of storage tasks as we interact with other Google services.
Because our current solution S3 is working great and CouchDB was a nightmare. The worst is that at first, it seemed fine until we filled it with tons of data and then started to create views and actually delete.
after all of the investment made in the tool and considering how many teams use it I think we would not be likely to move away from this tool. A lot of our information including historical is already here and we are happy with the capabilities of the tool currently
Couchdb is very simple to use and the features are also reduced but well implemented. In order to use it the way its designed, the ui is adequate and easy. Of course, there are some other task that can't be performed through the admin ui but the minimalistic design allows you to use external libraries to develop custom scripts
Blob storage is fairly simple, with several different options/settings that can be configured. The file explorer has enhanced its usability. Some areas could be improved, such as providing more details or stats on how many times a file has been accessed. It is an obvious choice if you're already using Azure/Entra.
Very easy to use. I love having my data backed up. I love that Google Cloud Storage provides me with the peace of mind that I no longer need to worry about my data being lost. I can now sleep better at night. Google Cloud Storage is very easy to use. Overall, you save time and have less stress by using Google Cloud Storage.
For performance i give Google Cloud Storage 10 of 10 on performance because even though there are other softwares that do exactly the same thing as Google Drive, it still works exceptionally well. It is very fast, and and far as integration, the only software I have used with it that integrated was Google Docs, and of course it integrates perfectly.
Microsoft has improved its customer service standpoint over the years. The ability to chat with an issue, get a callback, schedule a call or work with an architecture team(for free) is a huge plus. I can get mentorship and guidance on where to go with my environment without pushy sales tactics. This is very refreshing. Typically support can get me to where I need to be on the first contact, which is also nice.
We have never used official support from Google for our Google Cloud Storage, but there is plenty of documentation in place already. With a small amount of work, anybody should be able to get started. Once needs get more complicated, there is still documentation from Google, but also plenty of community support for common use cases around the internet.
it support is minimal also hw requirements. Also for development, we can have databases replicated everywhere and the replication is automagical. once you set up the security and the rules for replication, you are ready to go. The absence of a model let you build your app the way you want it
overall I was not directly involved but hears the teams were satisfied with the implementation. the teams that used the tool did not encounter major issues, it was as expected with minor issues and bugs that were resolved later. The more significant learning curve was actually starting to use the tool
Azure Premium Blob offers better latency than competitors. It works best with the Azure ecosystem, and competitors lack it. Azure Blob even stands out in storage durability, providing up to 16 nines. It can have various use cases that can suit all the organisation's needs. The Azure Blob solution can also be deployed on-premises.
We prefer Google Cloud Storage over Amazon Web Services because of the tools and code integration offered by Google Cloud Storage. We found the Google Cloud Storage toolset to be highly usable and give us the fine-grained control we need for managing digital assets. Ultimately, we chose Google Cloud Storage because we found the API and suitability for code integration with our Java codebase to be impeccable and because we had excellent direct support from the Google Cloud Storage team
It has assisted greatly with our ability to share documents/information cross functionally. Especially within our advertising team, we store a large amount of information to assist new hires and refresh current employees.
Something that could improve is employees' understanding of how to best utilize Google Cloud Storage. This could improve by implementing a potential training video or tutorial.
Overall, Google Storage has been great. I have not used a similar storage product that had the same enterprise level capabilities.