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Micro Focus Content Manager VS Datahike

Compare Micro Focus Content Manager VS Datahike and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Micro Focus Content Manager logo Micro Focus Content Manager

Micro Focus Content Manager is an easy-to-use document and records management system that helps capture, manage, and secure business information, whether it’s digital or physical data.

Datahike logo Datahike

A durable datalog database adaptable for distribution.
  • Micro Focus Content Manager Landing page
    Landing page //
    2023-05-06
  • Datahike Landing page
    Landing page //
    2023-08-22

Micro Focus Content Manager videos

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Miktysh | Micro Focus Content Manager 9.2 Demo | HP TRIM demo

Datahike videos

No Datahike videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Micro Focus Content Manager and Datahike)

Micro Focus Content Manager

Datahike

Office & Productivity
100 100%
Office & Productivity
0% 0
Databases
0 0%
Databases
100% 100
Business & Commerce
100 100%
Business & Commerce
0% 0
NoSQL Databases
0 0%
NoSQL Databases
100% 100

User comments

Share your experience with using Micro Focus Content Manager and Datahike. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Datahike seems to be more popular. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Micro Focus Content Manager mentions (0)

We have not tracked any mentions of Micro Focus Content Manager yet. Tracking of Micro Focus Content Manager recommendations started around Jan 2022.

Datahike mentions (4)

  • The Ten Rules of Schema Growth
    Datahike [0] provides similar functionality to datomic and is open source. It lacks some features however that Datomic does have [1]. [0]: https://github.com/replikativ/datahike. - Source: Hacker News / 7 months ago
  • Is Datomic right for my use case?
    You can also consider other durable Datalog options like datahike or datalevin which can work either as lib (SQLite style) or in a client-server setup; if you want to play with bi-temporality XTDB is a rock solid option with very good support and documentation. Source: 10 months ago
  • Max Datom: Interactive Datomic Tutorial
    Oh really interesting. I didn't know about that. I was actually going threw the old Mendat code base and was considering using that. I would really like a pure Rust version of Datomic for embed use cases. There is all also Datahike, that is going in that direction too. It is maintained and actively developed. https://github.com/replikativ/datahike. - Source: Hacker News / about 2 years ago
  • Show HN: Matrix-CRDT – real-time collaborative apps using Matrix as backend
    Having an Datomic like store backed by something like this. https://github.com/replikativ/datahike Is an Open Source variant of Datomic. Lambdaforge wants to eventually have this work with CRDTs. Using the Matrix ecosystem for this is quite interesting as it solves many problems for you already. - Source: Hacker News / over 2 years ago

What are some alternatives?

When comparing Micro Focus Content Manager and Datahike, you can also consider the following products

Objective ECM - Objective ECM is a secure and reliable Enterprise Content Management software that empowers users to manage their content and build powerful business processes.

Datomic - The fully transactional, cloud-ready, distributed database

SOLIXCloud ECS - SOLIXCloud ECS is a cloud-based CMS platform that is designed for organizations in order to store, organize, and securely govern data.

Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server

Cincom ECM - Cincom ECM Suite provides a single solution for managing content across the enterprise, from document and image management to records and eDiscovery.

Matisse - Matisse is a post-relational SQL database.

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