
authzed
Cerbos
Warrant
Oso
Permify
Permit.io
Netumo
Fine-grained, scalable authorization in minutes

MySQL
MarkLogic Server
Valentina Server
Firestore
Datahike
Matisse
Oracle TimesTen
The fully transactional, cloud-ready, distributed database

Which is more popular?
Website, pricing, platforms and company facts side by side.
|
|
|
|
|---|---|---|
| Website | aserto.com | datomic.com |
| Pricing | ||
| Company | 2020 | — |
| Listed in |
In their own words, as submitted to SaaSHub.


Aserto helps you build secure applications. It makes it easy to add fine-grained, policy-based, real-time access control to your applications and APIs. Aserto handles all the heavy lifting required to achieve secure, scalable, high-performance access management. It offers blazing-fast...
No description of Datomic yet.
What each product offers, as listed by its team.


Possible disadvantages
Walkthroughs and reviews on video.
Intro to modern authorization
KotlinConf 2018 - Datomic: The Most Innovative DB You've Never Heard Of by August Lilleaas
More videos
How often each product is chosen within a category, 0–100% relative to the other.


Share your experience with using Aserto and Datomic. For example, how are they different and which one is better?
When comparing Aserto and Datomic, you can also consider the following products.

The platform to store, compute, and validate app permissions
Compare authzed to Aserto or Datomic:


Cerbos helps teams separate their authorization process from their core application code, making their authorization system more scalable, more secure and easier to change as the application evolves.
Compare Cerbos to Aserto or Datomic:

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.
Compare MarkLogic Server to Aserto or Datomic:

Authorization and access control infrastructure for developers
Compare Warrant to Aserto or Datomic:

Valentina Server is 3 in 1: Valentina DB Server / SQLite Server / Report Server
Compare Valentina Server to Aserto or Datomic: