Cloudify VS Datahike
Compare Cloudify VS Datahike and see what are their differences
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Cloudify
Kubernetes
OpenShift
Morpheus
Heroku
Microsoft Azure
Redis
Rancher
Datahike
Datomic
Oracle TimesTen
Valentina Server
MarkLogic Server
PlanetScale
Matisse
EdgeDB
Cloudify provides infrastructure automation using ‘Environment as a Service’ technology to deploy and continuously manage any cloud, private data center, or Kubernetes service from one central point while leveraging existing toolchains; Terraform, Ansible, and more. Use Cloudify to import existing automation templates and scripts and automatically convert them into certified environments. Manage them using the Cloudify console or export these environments to ServiceNow and enable users to deploy, continuously manage and maintain them as part of approval workflows.
Key Values: - Speed up deployments of your Test/Dev/Production environments. - Manage customers' heterogeneous cloud environments. - Enable Continuous Updates (Day-2) for your Production environments. - A clean API to work on top of all your tools that can easily be used within ServiceNow. - Manage Kubernetes clusters at scale.
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Based on our record, Datahike should be more popular than Cloudify. 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.
Cloudify looks interesting if you can stand the price, depends how badly you need the features it offers. Source: about 2 years ago
Cloudify is a platform that automates and manages entire lifecycles of an application or network service. Source: over 2 years ago
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 / 8 months ago
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: 12 months ago
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
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
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Datomic - The fully transactional, cloud-ready, distributed database
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
Oracle TimesTen - TimesTen is an in-memory, relational database management system with persistence and...
Morpheus - Morpheus is integration software designed to help major cloud infrastructure work in harmony. For example, if a company has assets on both Google's and Amazon's cloud services, Morpheus helps bridge the gap to improve productivity.
Valentina Server - Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server