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DataStax Astra

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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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Pros of DataStax Astra
Pros of Google App Engine
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    • 145
      Easy to deploy
    • 106
      Auto scaling
    • 80
      Good free plan
    • 62
      Easy management
    • 56
      Scalability
    • 35
      Low cost
    • 32
      Comprehensive set of features
    • 28
      All services in one place
    • 22
      Simple scaling
    • 19
      Quick and reliable cloud servers
    • 6
      Granular Billing
    • 5
      Easy to develop and unit test
    • 5
      Monitoring gives comprehensive set of key indicators
    • 3
      Really easy to quickly bring up a full stack
    • 3
      Create APIs quickly with cloud endpoints
    • 2
      No Ops
    • 2
      Mostly up

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    What is DataStax Astra?

    DataStax Astra simplifies Cassandra application development. It reduces deployment time from weeks to minutes, removing the biggest obstacle to using Cassandra, which is behind many of the most heavily used applications in the world.

    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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    What companies use DataStax Astra?
    What companies use Google App Engine?
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    What tools integrate with DataStax Astra?
    What tools integrate with Google App Engine?

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    What are some alternatives to DataStax Astra and Google App Engine?
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    Redis
    Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.
    Amazon S3
    Amazon Simple Storage Service provides a fully redundant data storage infrastructure for storing and retrieving any amount of data, at any time, from anywhere on the web
    See all alternatives