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  1. Stackups
  2. Application & Data
  3. Platform as a Service
  4. Platform As A Service
  5. Elastic Cloud vs Hasura

Elastic Cloud vs Hasura

OverviewComparisonAlternatives

Overview

Hasura
Hasura
Stacks343
Followers634
Votes144
GitHub Stars31.8K
Forks2.8K
Elastic Cloud
Elastic Cloud
Stacks69
Followers73
Votes0

Elastic Cloud vs Hasura: What are the differences?

# Key Differences between Elastic Cloud and Hasura

Elastic Cloud and Hasura are two popular tools in the realm of cloud and database management. Understanding the key differences between these tools can help organizations make informed decisions about which platform best suits their needs.

1. **Infrastructure management:** 
Elastic Cloud provides a managed service that offers a wide range of options for scaling and managing infrastructure, including built-in monitoring and security features. On the other hand, Hasura is focused on providing a quick and easy way to set up a GraphQL API on top of existing databases without the need for complex infrastructure management.

2. **Database support:**
Elastic Cloud primarily supports Elasticsearch, a powerful search and analytics engine, while Hasura focuses on supporting various SQL databases such as PostgreSQL. This difference in database support can be crucial for organizations with specific database requirements.

3. **Query capabilities:**
Elastic Cloud's search capabilities are designed to handle large volumes of data and complex queries efficiently. In contrast, Hasura's GraphQL API simplifies data fetching and allows developers to query data with a flexible and intuitive syntax.

4. **Scalability options:**
Elastic Cloud offers a range of scalability options, allowing organizations to easily adjust resources based on their needs. Hasura, on the other hand, provides automatic scaling of GraphQL queries to handle varying workloads without manual intervention.

5. **Community and support:**
Both tools have active communities that provide support and resources for users. However, Elastic Cloud being part of the Elastic Stack ecosystem has a larger community and more extensive documentation compared to Hasura.

6. **Use cases:**
Elastic Cloud is well-suited for organizations dealing with large amounts of data and requiring powerful search capabilities. Hasura, on the other hand, is ideal for developers looking to quickly build GraphQL APIs on top of SQL databases and modernize their applications.

In Summary, understanding the key differences between Elastic Cloud and Hasura in terms of infrastructure management, database support, query capabilities, scalability options, community support, and use cases can help organizations make informed decisions when choosing a cloud and database management platform.

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Detailed Comparison

Hasura
Hasura
Elastic Cloud
Elastic Cloud

An open source GraphQL engine that deploys instant, realtime GraphQL APIs on any Postgres database.

A growing family of Elastic SaaS offerings that make it easy to deploy, operate, and scale Elastic products and solutions in the cloud. From an easy-to-use hosted and managed Elasticsearch experience to powerful, out-of-the-box search solutions.

Stack-agnostic; Cloud-agnostic; Git push to deploy; Pre-configured API Gateway; Instant GraphQL or JSON APIs; Out-of-the-box Auth APIs with UI Kits; Filestore APIs with access control; Deploy custom code
-
Statistics
GitHub Stars
31.8K
GitHub Stars
-
GitHub Forks
2.8K
GitHub Forks
-
Stacks
343
Stacks
69
Followers
634
Followers
73
Votes
144
Votes
0
Pros & Cons
Pros
  • 23
    Fast
  • 18
    Easy GraphQL subscriptions
  • 16
    Easy setup of relationships and permissions
  • 15
    Minimal learning curve
  • 15
    Automatically generates your GraphQL schema
Cons
  • 3
    Cumbersome validations
No community feedback yet
Integrations
Kubernetes
Kubernetes
PostgreSQL
PostgreSQL
Docker
Docker
GraphQL
GraphQL
Elasticsearch
Elasticsearch

What are some alternatives to Hasura, Elastic Cloud?

Heroku

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

Google App Engine

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

Red Hat OpenShift

Red Hat OpenShift

OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.

AWS Elastic Beanstalk

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

Render

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

Jelastic

Jelastic

Jelastic is a Multi-Cloud DevOps PaaS for ISVs, telcos, service providers and enterprises needing to speed up development, reduce cost of IT infrastructure, improve uptime and security.

Dokku

Dokku

It is an extensible, open source Platform as a Service that runs on a single server of your choice. It helps you build and manage the lifecycle of applications from building to scaling.

PythonAnywhere

PythonAnywhere

It's somewhat unique. A small PaaS that supports web apps (Python only) as well as scheduled jobs with shell access. It is an expensive way to tinker and run several small apps.

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