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pREST VS MarkLogic Server

Compare pREST VS MarkLogic Server and see what are their differences

pREST logo pREST

A fully RESTful API from any existing PostgreSQL database written in Go

MarkLogic Server logo MarkLogic Server

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.
  • pREST Landing page
    Landing page //
    2019-08-27
  • MarkLogic Server Landing page
    Landing page //
    2023-07-27

pREST features and specs

  • Easy Setup
    pREST offers a straightforward setup process, allowing developers to quickly integrate a RESTful API with PostgreSQL databases without extensive configuration or code.
  • Database-driven
    It leverages PostgreSQL's powerful features, enabling efficient and optimized queries directly from the database, which can improve performance and reduce the need for complex backend logic.
  • Auto-generated Endpoints
    pREST automatically generates RESTful endpoints based on your database schema, which speeds up development and reduces manual coding effort.
  • Open Source
    Being open-source allows developers to view, modify, and contribute to the codebase, fostering a collaborative and transparent development environment.
  • Security Features
    It includes built-in security features such as authentication and permission management to safeguard data access and operations.

Possible disadvantages of pREST

  • Limited Flexibility
    pREST's auto-generated endpoints may not provide the same level of customization and flexibility as a fully hand-coded API solution.
  • Dependency on PostgreSQL
    As it is designed specifically for PostgreSQL, it limits the choice of databases, and transitioning to another database system could require significant changes.
  • Community and Support
    Being a relatively newer tool, it might have a smaller community and fewer support resources compared to more established frameworks, which could affect troubleshooting and support.
  • Scalability Concerns
    For extremely large-scale applications, relying solely on auto-generated endpoints might pose scalability challenges without additional optimization and infrastructure support.
  • Learning Curve
    Developers unfamiliar with RESTful principles or PostgreSQL might encounter a learning curve in understanding how pREST integrates both to provide its functionalities.

MarkLogic Server features and specs

  • Multi-Model Database
    MarkLogic Server is a multi-model database that supports documents, graphs, and relational data, allowing for versatility in storing and managing various data types.
  • Enterprise Features
    Includes enterprise-grade features such as ACID transactions, built-in search capability, scalability, high availability, and disaster recovery.
  • Security
    Offers advanced security controls including role-based access, encryption, and auditing, which are crucial for handling sensitive and regulated data.
  • Integrated Search
    Provides powerful search capabilities out-of-the-box, which can index and search text, structure, and metadata across all data types efficiently.
  • Data Integration
    Facilitates data integration from multiple sources, supporting seamless interoperability and operational data hubs, which is beneficial for complex data environments.

Possible disadvantages of MarkLogic Server

  • Complexity and Learning Curve
    While rich in features, it may have a steep learning curve for new users, which could lead to a longer setup and training time.
  • Cost
    Can be expensive, especially for smaller organizations, as it comes with licensing costs typical of enterprise-grade software.
  • Vendor Lock-in
    Using a proprietary database like MarkLogic can create risks of vendor lock-in, potentially complicating data migrations to other platforms if needed.
  • Limited Community Support
    Compared to open-source alternatives, there might be less community support available, which can be a drawback for troubleshooting or finding resources.
  • Performance Overhead
    Due to its extensive feature set, there can be performance overhead, requiring careful management and optimal configuration to achieve desired performance.

pREST videos

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MarkLogic Server videos

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Category Popularity

0-100% (relative to pREST and MarkLogic Server)
Developer Tools
100 100%
0% 0
Databases
34 34%
66% 66
Relational Databases
22 22%
78% 78
Network & Admin
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, pREST seems to be more popular. It has been mentiond 2 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.

pREST mentions (2)

  • Accessing Postgres via REST using pRest
    With pRest, it is possible to create a RESTFul API to access the contents of a Postgres database in a fast and straightforward way. The project, written in Go, can be found on its official website and Github. - Source: dev.to / almost 4 years ago
  • Admin panel for Go back end?
    So this is something I've been pondering about for a while and I think I've settled to using Directus: https://directus.io/ as my db admin and dbmate for migrations. Alternatively you could use react admin: https://marmelab.com/react-admin/ . The only problem with the latter is that it requires you to build your rest endpoint for CRUD but you can use postgrest: https://postgrest.org/en/stable/ (or it's go... Source: about 4 years ago

MarkLogic Server mentions (0)

We have not tracked any mentions of MarkLogic Server yet. Tracking of MarkLogic Server recommendations started around Apr 2022.

What are some alternatives?

When comparing pREST and MarkLogic Server, you can also consider the following products

Crunchy Bridge - Crunchy Bridge is a fully managed database as a service.

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

PlanetScale - The last database you'll ever need. Go from idea to IPO.

Google Cloud Datastore - Cloud Datastore is a NoSQL database for your web and mobile applications.

Upstash - Upstash provides Serverless Redis and Kafka as a service.

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