{"id":342271,"date":"2021-11-22T16:22:05","date_gmt":"2021-11-22T15:22:05","guid":{"rendered":"https:\/\/www.optimal-systems.de\/?p=342271"},"modified":"2026-07-03T12:45:44","modified_gmt":"2026-07-03T10:45:44","slug":"using-the-right-tools-file-storage-object-storage-and-intelligent-content-management","status":"publish","type":"post","link":"https:\/\/www.optimal-systems.de\/en\/digitalization\/blog\/using-the-right-tools-file-storage-object-storage-and-intelligent-content-management","title":{"rendered":"Using the Right Tools: File Storage, Object Storage, and Intelligent Content Management"},"content":{"rendered":"\n
<\/span>\"Ein\"Ein
\n
\n
\n

Date<\/span><\/p>\n\n\n\n

Using the Right Tools: File Storage, Object Storage, and Intelligent Content Management<\/h1>\n\n\n\n

By Mark Sowul<\/p>\n<\/div>\n<\/div>\n<\/div><\/div><\/div>\n\n\n

\n
\n
\n

File and object storage are those deceptively simple tasks in a software project \u2014 it seems straightforward at first (\u201cjust store it in the database\u201d or \u201cjust use S3\u201d). But then real-world requirements start piling up: permissions, client data segregation, searching, auditing, retention, and more. How much will it cost to scale your solution to production levels of users and documents? How does the system handle tens of thousands or even millions of documents?<\/strong><\/p>\n\n\n\n

Object storage APIs help, but they also bring other challenges. Some APIs are inflexible and limit your ability to integrate your own logic. Other APIs require you to store your data in the cloud, which you may be unwilling (or unable) to do.<\/p>\n\n\n\n

yuuvis\u00ae Momentum<\/a> is a document repository<\/strong> that offers extended features for building content and information management solutions<\/strong>, handling all of the file storage<\/a> concerns of a document management system and more. This modern, cloud-native technology stack<\/strong> supports public cloud, private cloud (including on-premises deployment), and hybrid cloud, enabling you to use the same stack everywhere, flexibly deploy your solution on your own terms, and cost-effectively scale to the most intense workloads<\/strong>.<\/p>\n\n\n\n

Let\u2019s look at what makes object storage useful and why choosing yuuvis\u00ae Momentum adds additional value over a simple object storage services such as Amazon S3.<\/p>\n\n\n\n

Why Use Object Storage?<\/h2>\n\n\n\n

First, some background: what is object storage? As a simple example, consider a photo saved on your hard disk. Instead of storing a file as a piece of data at a specific location \u2014 C:UsersJohnDesktopIMG_0712.JPG \u2014 object storage associates each file with a unique ID for retrieval. The system is then free to store that data however and wherever it sees fit.<\/p>\n\n\n\n

For example, it might distribute files across multiple disks, allowing the system to grow (more hardware can be added almost seamlessly since the file is accessed by ID, rather than location). Data might be stored in multiple places to enable more fault tolerance<\/strong> (and quicker access across the globe). Data that isn\u2019t accessed for a long time might be transparently moved to cheaper, slower storage.<\/p>\n\n\n\n

Object storage techniques are what enable cloud providers to offer services that are so cost-effective and highly scalable<\/strong>. Additionally, that photo described above consists of data and metadata. The data is the actual image itself, but there is other information: when it was taken, the camera model, photo tags, and other similar information about <\/em>the picture. That is metadata<\/strong>.<\/p>\n\n\n\n

Object storage stores and treats files as objects, where the metadata is a first-class component of the object, along with the actual data. Importantly, object storage lets you access the metadata without needing to download the entire file. It can also preserve each different data revision (for example, if the photo is cropped or enhanced).<\/p>\n\n\n\n

Object storage really shines when handling a large amount of data<\/strong> that mostly doesn\u2019t change. This category may include more use cases than you think. Imagine a document that needs to be approved and published. Once the document has been uploaded into the system, approving and publishing the document wouldn\u2019t change the contents of the document itself. Whether it is approved and published would likely only change the metadata.<\/p>\n\n\n\n

In fact, it may even be a requirement that the document not change. When you start adding requirements such as versioning and retention, this behavior of object storage becomes valuable. Even if the document is revised, you can preserve its different versions over time. If the retention policy requires the document data itself to remain unchanged, you can still capture and update its status, use, or other business-relevant information<\/strong> in its metadata.<\/p>\n\n\n\n

Beyond Object Storage, Beyond S3<\/h2>\n\n\n\n

You might recognize Amazon\u2019s S3 product as a common example of object storage. Why not just use that? S3 is a useful cloud storage offering<\/strong> with a few of the features described earlier. It is very cost effective and easily scales to very large amounts of data. Among other benefits, it allows for files to be replicated across multiple availability zones<\/strong> for speed and reliability, and it has built-in storage tiering (archiving old objects to cheaper storage).<\/p>\n\n\n\n

Nevertheless, S3 is still, at its core, just a place to store data. If you want to query and search those files effectively, or apply logic to files, you need to implement that separately. In contrast, yuuvis\u00ae Momentum has a sophisticated metadata and type system<\/strong> and tackles far more than just storing data. Imagine you have an invoice, for example. The invoice itself is just a document, but it might require a sign-off from the finance team, and you would want to keep track of whether or not it has been paid. That information could be stored seamlessly alongside the invoice itself (as metadata).<\/p>\n\n\n\n

Eliminating the need to build this out yourself, yuuvis\u00ae Momentum provides the ingredients to integrate such a system. It could treat the invoice as a first-class object type, along with the tracking information. It even offers workflow integration with Flowable to implement business process management<\/strong>.<\/p>\n\n\n\n

Imagine you have not just one invoice, of course, but thousands. The advanced querying facilities in yuuvis\u00ae Momentum, for example, enable easy searches for all invoices that haven\u2019t been paid, or all invoices approved by a particular employee. An integrated, full-text extraction and query service also enables you to search through the full content of each document<\/strong>.<\/p>\n\n\n\n

An additional feature of yuuvis\u00ae Momentum is that all the above can be handled in multi-tenant fashion: in other words, you can ensure all data for each separate customer (or department) is kept separate, while still deploying the same object definitions and logic (schema). At the same time, multiple applications (schemas) can run on the same instance (a single instance can scale up to 109 <\/sup>objects). Schemas can also be tenant-specific<\/strong>.<\/p>\n\n\n\n

\"Ein<\/figure>\n\n\n
\n
\n
\n

Developer Bene\u00adfits<\/h2>\n\n\n\n

Developing on a platform<\/a> that already offers necessary features and integrations saves valuable time and effort. In addition to the examples above, yuuvis\u00ae Momentum handles authentication and authorization<\/strong> via OAuth2<\/a>, another important advantage. Developers<\/a> already using S3 will benefit from their familiarity with the S3 protocol.<\/p>\n\n\n\n

OAuth2 integration allows users\u2019 application sign-in information to flow through to yuuvis\u00ae Momentum as well, and OAuth2 support provides broad compatibility with common single sign-on (SSO) providers like Active Directory<\/strong>. From there, multi-tenanted role-based access control can lock down read, write, and delete access through the yuuvis\u00ae Momentum APIs.<\/p>\n\n\n\n

That said, any time developers leverage existing third-party libraries that they didn\u2019t build themselves, they run the risk of the library not supporting what they want to do. Fortunately, yuuvis\u00ae Momentum enables injecting server-side business logic<\/strong> using system hooks (webhooks and messaging).<\/p>\n\n\n\n

Finally, web developers will also appreciate the Angular reference client and user interface (UI) components<\/strong>. This provides ready access to authentication, search, and upload functionality, for example. The reference client showcases various yuuvis\u00ae Momentum functionality and access patterns and can help you deliver your solution more quickly.<\/p>\n\n\n\n

\"Ein<\/figure>\n<\/div>\n<\/div>\n<\/div><\/div>\n<\/div>\n<\/div>\n\n
\n
\n
\n

Business Bene\u00adfits<\/h2>\n\n\n\n

Aside from developer productivity, yuuvis\u00ae Momentum provides business benefits<\/strong>. If you\u2019re not ready to commit all your processing to the cloud, yuuvis\u00ae Momentum can run on your own hardware instead of in the cloud \u2014 or some combination of both local datacenter and cloud storage.<\/p>\n\n\n\n

You can seamlessly move yuuvis\u00ae Momentum from on-premises to the cloud (Amazon, Azure, or Google, for example) should you decide to transition later, or as your solution requires increased scalability<\/strong>. Hosting on the cloud can offer significant savings on infrastructure costs, even taking into account the increased costs of traffic.<\/p>\n\n\n\n

Archiving and retention features send old data elsewhere for archival. The tool supports S3-compatible object stores as well as the file system. Object metadata controls an object\u2019s archive path. If necessary, document locking ensures retention until a certain point in time, meeting legal and regulatory requirements without wasting storage space. An audit trai<\/strong>l also logs user activity on each document, and there is a built-in archive integrity check<\/strong>.<\/p>\n\n\n\n

From a technical perspective, yuuvis\u00ae Momentum\u2019s scalability handles a vast set of documents. Meanwhile, automated content analysis and full-text extraction (with a rich search function across metadata and object text) empowers users to efficiently handle<\/strong> these large data sets.<\/p>\n\n\n\n

Additionally, the server integrations and events we described earlier allow yuuvis\u00ae Momentum data stores to interact with your other applications seamlessly. By providing this depth and insight into your data stores, as well as layering your business process across them, you can unlock your data\u2019s full potential<\/strong>.<\/p>\n\n\n\n

Next Steps<\/h2>\n\n\n\n

Object storage provides a flexible, rich, and scalable platform for your large data sets, especially for archival or data warehousing style operations. By layering commonly-used functions, and enabling data spread across private and public clouds, yuuvis\u00ae Momentum levels up data storage<\/strong> beyond a dusty archive<\/a>.<\/p>\n\n\n\n

This is not to say object storage or yuuvis\u00ae Momentum are the right choices for all projects. Because of yuuvis\u00ae Momentum\u2019s many powerful features, it is complex with many moving parts and a significant learning curve. The power of its flexible deployment options also comes with the obligation to deploy and maintain it<\/strong>, involving experience with Docker, Kubernetes, Elasticsearch, and other technologies.<\/p>\n\n\n\n

That said, many organizations already use these technologies, and to many developers, the excuse to use these cutting-edge cloud-native tools<\/strong> is further incentive to adopt yuuvis\u00ae Momentum.<\/p>\n\n\n\n

If your data sets are outgrowing your current storage solution, you want to manage your documents more cost-effectively, or you want to better leverage your current cloud-based object store, check out yuuvis\u00ae Momentum and its API<\/a> to access powerful document-handling tools<\/strong>.<\/p>\n<\/div>\n<\/div>\n<\/div>\n\n

\n
\n