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Google Cloud Datastore VS MarkLogic Server

Compare Google Cloud Datastore VS MarkLogic Server and see what are their differences

Google Cloud Datastore logo Google Cloud Datastore

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

MarkLogic Server logo MarkLogic Server

MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.
  • Google Cloud Datastore Landing page
    Landing page //
    2023-09-12
  • MarkLogic Server Landing page
    Landing page //
    2023-07-27

Google Cloud Datastore features and specs

  • Scalability
    Google Cloud Datastore can automatically scale to handle large amounts of data and high read/write loads, making it suitable for applications with growing data needs.
  • Fully Managed
    As a fully managed service, Google Cloud Datastore eliminates the need for managing servers, software patches, and replication, allowing developers to focus on building applications.
  • High Availability
    Datastore provides strong consistency for reads and writes and is designed to maintain availability even in case of entire data center outages.
  • Flexible Data Model
    The schemaless nature of Datastore allows for a flexible data model that can easily adapt to changes in application requirements.
  • Integration with Google Cloud Platform
    Datastore seamlessly integrates with other Google Cloud Platform services, which simplifies the process of building end-to-end solutions.

Possible disadvantages of Google Cloud Datastore

  • Complex Query Language
    Datastore Query Language (GQL) can be less intuitive compared to SQL, which may pose a learning curve for developers accustomed to traditional relational databases.
  • Eventual Consistency for Queries
    While Datastore offers strong consistency for entity lookups by key, queries must be specifically configured for strong consistency, otherwise they might return eventually consistent data.
  • Cost
    As usage scales, costs can increase, particularly for applications with high write loads or those requiring many transactional operations, which might be a consideration for budget-conscious projects.
  • Limited Relational Capabilities
    Datastore is a NoSQL database, which means it lacks some of the relational features like joins and complex transactions that developers might expect from a SQL database.
  • Index Management
    Managing indexes can become complex, as every query in Datastore requires a corresponding index, and poorly planned indexes can lead to increased storage costs and slower query performance.

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.

Category Popularity

0-100% (relative to Google Cloud Datastore and MarkLogic Server)
Databases
48 48%
52% 52
Relational Databases
46 46%
54% 54
Business & Commerce
100 100%
0% 0
Network & Admin
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Google Cloud Datastore seems to be more popular. It has been mentiond 7 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.

Google Cloud Datastore mentions (7)

  • Using Google Cloud Firestore with Django's ORM
    A long time ago, a fork of Django called “Django-nonrel” experimented with the idea of using Django’s ORM with a non-relational database; what was then called the App Engine Datastore, but is now known as Google Cloud Datastore (or technically, Google Cloud Firestore in Datastore Mode). Since then a more recent project called "django-gcloud-connectors" has been developed by Potato to allow seamless ORM integration... - Source: dev.to / 12 months ago
  • How to deploy flask app with sqlite on google cloud ?
    In that case use Cloud Datastore (aka Firestore in Datastore Mode). It's a NoSQL db that was initially targeted just for GAE (you needed to have a GAE App even if empty to use it) but that requirement has been relaxed. Source: about 2 years ago
  • Is Cloud Run a good choice for a portfolio website?
    As u/SierraBravoLima said - If you don't really need containerization, you can go with Google App Engine (Standard). If you need to store data, GAE will work with cloud datastore which has a large enough free tier. Source: about 3 years ago
  • Help! Difference between native and datastore
    Datastore mode had its start in App Engine's early days (launched in 2008), where its Datastore was the original scalable NoSQL database provided for all App Engine apps. In 2013, Datastore was made available all developers outside of App Engine, and "re-launched" as Cloud Datastore. In 2014, Google acquired Firebase for its RTDB (real-time database). Both teams worked together for the next 4 years, and in 2017,... Source: about 3 years ago
  • I'm a dev ID 10 T please help me
    Database: datastore should be very cheap, or you could just output as csv text and copy into Google Sheets (free!). Source: over 3 years ago
View more

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 Google Cloud Datastore and MarkLogic Server, you can also consider the following products

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

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

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

Datahike - A durable datalog database adaptable for distribution.

Oracle TimesTen - TimesTen is an in-memory, relational database management system with persistence and...

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.