DataStax Constellation vs Google App Engine

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DataStax Constellation
DataStax Constellation

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Google App Engine vs DataStax Constellation: What are the differences?

What is Google App Engine? Build web applications on the same scalable systems that power Google applications. 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.

What is DataStax Constellation? Cassandra as a Service on AWS/GCP. It is a cloud platform that delivers a number of services designed to make building modern database applications in the cloud quick, simple, and cost effective. The first two services in Constellation are DataStax Apache Cassandra as a Service and DataStax Insights.

Google App Engine and DataStax Constellation belong to "Platform as a Service" category of the tech stack.

Some of the features offered by Google App Engine are:

  • Zero to sixty: Scale your app automatically without worrying about managing machines.
  • Supercharged APIs: Supercharge your app with services such as Task Queue, XMPP, and Cloud SQL, all powered by the same infrastructure that powers the Google services you use every day.
  • You're in control: Manage your application with a simple, web-based dashboard allowing you to customize your app's performance.

On the other hand, DataStax Constellation provides the following key features:

  • Simplify and accelerate data-driven application development while eliminating the complex overhead of database operations with smart data management services
  • Streamline Apache Cassandra™ database management with a single, integrated web console that provides a seamless user experience—from learning to development to production
  • Get the confidence and assurance you need to successfully deploy your Cassandra database in production with 24x7x365 support backed by a 99.99% uptime SLA
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What is DataStax Constellation?

It is a cloud platform that delivers a number of services designed to make building modern database applications in the cloud quick, simple, and cost effective. The first two services in Constellation are DataStax Apache Cassandra as a Service and DataStax Insights.

What is 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.
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Why do developers choose DataStax Constellation?
Why do developers choose Google App Engine?
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        Jobs that mention DataStax Constellation and Google App Engine as a desired skillset
        What companies use DataStax Constellation?
        What companies use Google App Engine?
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          What tools integrate with DataStax Constellation?
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          What are some alternatives to DataStax Constellation and Google App Engine?
          Datastax Enterprise
          It delivers a wide range of cloud data management, deployment and development capabilities. For mixed models and complex workloads you can choose the Advanced Workloads option with it to utilize DSE Graph, DSE Search, DSE Analytics, and more.
          Amazon Managed Apache Cassandra Service
          It is a scalable, highly available, and managed Apache Cassandra–compatible database service. With Amazon Managed Cassandra Service, you can run your Cassandra workloads on AWS using the same Cassandra application code and developer tools that you use today. You don’t have to provision, patch, or manage servers, and you don’t have to install, maintain, or operate software. It is serverless, so you pay for only the resources you use and the service automatically scales tables up and down in response to application traffic. You can build applications that serve thousands of requests per second with virtually unlimited throughput and storage.
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          Reviews of DataStax Constellation and Google App Engine
          Review ofGoogle App EngineGoogle App Engine

          With Cloud Endpoints you can create and deploy mobile backend in one hour or less. And it is free (until you need extra scale). I would not recommend to use Java - python is faster and has all new appengine features.

          Pros: everything is in one place: task queue, cron, backend instances for data processing, datastore, mapreduce. Cons: you cannot easily move your code from GAE. Even with special 3rd party services.

          Review ofGoogle App EngineGoogle App Engine

          With Cloud Endpoints you can create and deploy mobile backend in one hour or less.

          How developers use DataStax Constellation and Google App Engine
          Avatar of Casey Smith
          Casey Smith uses Google App EngineGoogle App Engine

          PaaS for back-end components, including external data ingestion APIs, front-end web service APIs, hosting of static front-end application assets, back-end data processing pipeline microservices, APIs to storage infrastructure (Cloud SQL and Memcached), and data processing pipeline task queues and cron jobs. Task queue fan-out and auto-scaling of back-end microservice instances provide parallelism for high velocity data processing.

          Avatar of Lawrence Cheuk
          Lawrence Cheuk uses Google App EngineGoogle App Engine

          checking a swap require a lot of cpu resource, roster normally come out same day of month, every month, at a particular time. Which make very high spike, our flag ship product, iSwap, with the capability looking swap possibility with 10000 other rosters base on user critieria, you need a cloud computing give you this magnitude of computing power. gae did it nicely, user friendly, easy to you, low cost.

          Avatar of CommentBox.io
          CommentBox.io uses Google App EngineGoogle App Engine

          App engine fills in the gaps in the increasingly smaller case where it's necessary for us to run our own APIs.

          Avatar of Abhijeet Gokar
          Abhijeet Gokar uses Google App EngineGoogle App Engine

          Very easy to make cloud computing of ML models , and use containers like Kubernetes.

          Avatar of Vamsi Krishna
          Vamsi Krishna uses Google App EngineGoogle App Engine

          Cloud instances to run our app, Cloud MySQL , Network Load Balancer

          How much does DataStax Constellation cost?
          How much does Google App Engine cost?
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