Elastic Cloud on Kubernetes vs MongoDB Stitch

Need advice about which tool to choose?Ask the StackShare community!

Elastic Cloud on Kubernetes

6
8
+ 1
0
MongoDB Stitch

129
227
+ 1
4
Add tool

MongoDB Stitch vs Elastic Cloud on Kubernetes: What are the differences?

Developers describe MongoDB Stitch as "Backend as a Service for web and mobile applications". MongoDB Stitch lets developers focus on building applications rather than on managing data manipulation code, service integration, or backend infrastructure. Stitch lets you focus on building the app users want, not on writing boilerplate backend logic. On the other hand, Elastic Cloud on Kubernetes is detailed as "Elasticsearch & Kibana on Kubernetes". Elastic Cloud on Kubernetes simplifies setup, upgrades, snapshots, scaling, high availability, security, and more for running Elasticsearch and Kibana in Kubernetes for one or many use cases.

MongoDB Stitch and Elastic Cloud on Kubernetes can be primarily classified as "Platform as a Service" tools.

Some of the features offered by MongoDB Stitch are:

  • REST API to MongoDB Atlas
  • Declarative data access controls
  • Service integrations (AWS S3, Twilio...)

On the other hand, Elastic Cloud on Kubernetes provides the following key features:

  • Store local, search Global
  • Fully-featured clusters
  • Secure by default
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Elastic Cloud on Kubernetes
Pros of MongoDB Stitch
    Be the first to leave a pro
    • 2
      Static Hosting
    • 1
      Serverless
    • 1
      Best integration with MongoDB (Atlas)

    Sign up to add or upvote prosMake informed product decisions

    What is Elastic Cloud on Kubernetes?

    Elastic Cloud on Kubernetes simplifies setup, upgrades, snapshots, scaling, high availability, security, and more for running Elasticsearch and Kibana in Kubernetes for one or many use cases.

    What is MongoDB Stitch?

    MongoDB Stitch lets developers focus on building applications rather than on managing data manipulation code, service integration, or backend infrastructure. Stitch lets you focus on building the app users want, not on writing boilerplate backend logic.

    Need advice about which tool to choose?Ask the StackShare community!

    Jobs that mention Elastic Cloud on Kubernetes and MongoDB Stitch as a desired skillset
    CBRE
    United States of America Texas Richardson
    CBRE
    United States of America Texas Richardson
    What companies use Elastic Cloud on Kubernetes?
    What companies use MongoDB Stitch?
    See which teams inside your own company are using Elastic Cloud on Kubernetes or MongoDB Stitch.
    Sign up for StackShare EnterpriseLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Elastic Cloud on Kubernetes?
    What tools integrate with MongoDB Stitch?

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Elastic Cloud on Kubernetes and MongoDB Stitch?
    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.
    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.
    Apache Camel
    An open source Java framework that focuses on making integration easier and more accessible to developers.
    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.
    Apollo
    Build a universal GraphQL API on top of your existing REST APIs, so you can ship new application features fast without waiting on backend changes.
    See all alternatives