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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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Pros of Elastic Cloud
Pros of Hasura
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    • 23
      Fast
    • 18
      Easy GraphQL subscriptions
    • 16
      Easy setup of relationships and permissions
    • 15
      Automatically generates your GraphQL schema
    • 15
      Minimal learning curve
    • 13
      No back-end code required
    • 13
      Works with new and existing databases
    • 12
      Instant production ready GraphQL
    • 11
      Great UX
    • 4
      Low usage of resources
    • 4
      Simple

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    Cons of Elastic Cloud
    Cons of Hasura
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      • 3
        Cumbersome validations

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      What is Elastic Cloud?

      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.

      What is Hasura?

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

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      What companies use Elastic Cloud?
      What companies use Hasura?
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      What tools integrate with Elastic Cloud?
      What tools integrate with Hasura?

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      What are some alternatives to Elastic Cloud and Hasura?
      logz.io
      It provides Elasticsearch, Logstash and Kibana on the cloud with alerts, unlimited scalability and free ELK apps. Index, search & visualize your data.
      Cloud Foundry
      Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.
      Amazon EC2
      It is a web service that provides resizable compute capacity in the cloud. It is designed to make web-scale computing easier for developers.
      Algolia
      Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
      Amazon Elasticsearch Service
      Amazon Elasticsearch Service is a fully managed service that makes it easy for you to deploy, secure, and operate Elasticsearch at scale with zero down time.
      See all alternatives