Software Alternatives, Accelerators & Startups

ScaleChamp VS Google Cloud Datastore

Compare ScaleChamp VS Google Cloud Datastore and see what are their differences

ScaleChamp logo ScaleChamp

Victorious Managed Databases

Google Cloud Datastore logo Google Cloud Datastore

Cloud Datastore is a NoSQL database for your web and mobile applications.
  • ScaleChamp Landing page
    Landing page //
    2023-08-21

ScaleChamp is a managed databases provider with PostgreSQL, Redis, KeyDB, MySQL support across Hetzner Cloud, AWS, Linode, IBM Cloud, Azure, Scaleway, Alibaba Cloud, DigitalOcean, GCP, UpCloud, Vultr clouds

  • Google Cloud Datastore Landing page
    Landing page //
    2023-09-12

ScaleChamp

Website
github.com
$ Details
paid Free Trial $10.0 / Monthly (1 GB RAM/1 vCPU/30 GB Disk)
Platforms
Linux Web Cloud

ScaleChamp features and specs

  • Backups
    Daily and PITR
  • Encryption
    E2E
  • High Availibility
    Primary/Replica
  • Metrics
    Node and Service metrics

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.

ScaleChamp videos

ScaleChamp Demo

Google Cloud Datastore videos

No Google Cloud Datastore videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to ScaleChamp and Google Cloud Datastore)
Databases
20 20%
80% 80
Cloud Computing
100 100%
0% 0
Network & Admin
0 0%
100% 100
Cloud Infrastructure
100 100%
0% 0

User comments

Share your experience with using ScaleChamp and Google Cloud Datastore. For example, how are they different and which one is better?
Log in or Post with

Reviews

These are some of the external sources and on-site user reviews we've used to compare ScaleChamp and Google Cloud Datastore

ScaleChamp Reviews

  1. mikefaraponov
    ยท Founder at ScaleChamp ยท
    ScaleChamp Managed Databases

    Ultra powerful and simple to manage database hosting

    ๐Ÿ‘ Pros:    Pitr|Encryption|Backups|Metrics|Vultr support|Linode support|Upcloud support|Hetzner cloud support

Google Cloud Datastore Reviews

We have no reviews of Google Cloud Datastore yet.
Be the first one to post

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.

ScaleChamp mentions (0)

We have not tracked any mentions of ScaleChamp yet. Tracking of ScaleChamp recommendations started around Mar 2021.

Google Cloud Datastore mentions (7)

  • Using Google Cloud Firestore with Django's ORM
    A long time ago, a fork of Django called โ€œDjango-nonrelโ€ experimented with the idea of using Djangoโ€™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 / over 1 year 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: over 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: over 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: over 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: almost 4 years ago
View more

What are some alternatives?

When comparing ScaleChamp and Google Cloud Datastore, you can also consider the following products

Aiven - Leverage the complete open source ecosystem of extensions and tools to create highly-performant data pipelines for event-driven applications on all major clouds.

MarkLogic Server - MarkLogic Server is a multi-model database that has both NoSQL and trusted enterprise data management capabilities.

Hive - Seamless project management and collaboration for your team.

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

Memgraph - Memgraph is an open source graph database built for real-time streaming and compatible with Neo4j. Whether you're a developer or a data scientist with interconnected data, Memgraph will get you the immediate actionable insights fast.

Datahike - A durable datalog database adaptable for distribution.