Google Cloud Bigtable vs Google Cloud Datastore

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Google Cloud Bigtable
Google Cloud Bigtable

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Google Cloud Datastore
Google Cloud Datastore

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Google Cloud Bigtable vs Google Cloud Datastore: What are the differences?

What is Google Cloud Bigtable? The same database that powers Google Search, Gmail and Analytics. Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

What is Google Cloud Datastore? A Fully Managed NoSQL Data Storage Service. Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.

Google Cloud Bigtable and Google Cloud Datastore can be primarily classified as "NoSQL Database as a Service" tools.

Some of the features offered by Google Cloud Bigtable are:

  • Unmatched Performance: Single-digit millisecond latency and over 2X the performance per dollar of unmanaged NoSQL alternatives.
  • Open Source Interface: Because Cloud Bigtable is accessed through the HBase API, it is natively integrated with much of the existing big data and Hadoop ecosystem and supports Google’s big data products. Additionally, data can be imported from or exported to existing HBase clusters through simple bulk ingestion tools using industry-standard formats.
  • Low Cost: By providing a fully managed service and exceptional efficiency, Cloud Bigtable’s total cost of ownership is less than half the cost of its direct competition.

On the other hand, Google Cloud Datastore provides the following key features:

  • Schemaless access, with SQL-like querying
  • Managed database
  • Autoscale with your users

"High performance" is the primary reason why developers consider Google Cloud Bigtable over the competitors, whereas "High scalability" was stated as the key factor in picking Google Cloud Datastore.

Policygenius, Teleport, and Como are some of the popular companies that use Google Cloud Datastore, whereas Google Cloud Bigtable is used by Spotify, Resultados Digitais, and Rainist. Google Cloud Datastore has a broader approval, being mentioned in 46 company stacks & 16 developers stacks; compared to Google Cloud Bigtable, which is listed in 17 company stacks and 3 developer stacks.

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What is Google Cloud Bigtable?

Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

What is Google Cloud Datastore?

Use a managed, NoSQL, schemaless database for storing non-relational data. Cloud Datastore automatically scales as you need it and supports transactions as well as robust, SQL-like queries.
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Why do developers choose Google Cloud Bigtable?
Why do developers choose Google Cloud Datastore?
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      What companies use Google Cloud Bigtable?
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      What tools integrate with Google Cloud Bigtable?
      What tools integrate with Google Cloud Datastore?
      What are some alternatives to Google Cloud Bigtable and Google Cloud Datastore?
      Microsoft Access
      It is an easy-to-use tool for creating business applications, from templates or from scratch. With its rich and intuitive design tools, it can help you create appealing and highly functional applications in a minimal amount of time.
      Google Cloud Spanner
      It is a globally distributed database service that gives developers a production-ready storage solution. It provides key features such as global transactions, strongly consistent reads, and automatic multi-site replication and failover.
      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.
      Google Cloud Storage
      Google Cloud Storage allows world-wide storing and retrieval of any amount of data and at any time. It provides a simple programming interface which enables developers to take advantage of Google's own reliable and fast networking infrastructure to perform data operations in a secure and cost effective manner. If expansion needs arise, developers can benefit from the scalability provided by Google's infrastructure.
      Amazon DynamoDB
      With it , you can offload the administrative burden of operating and scaling a highly available distributed database cluster, while paying a low price for only what you use.
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      Decisions about Google Cloud Bigtable and Google Cloud Datastore
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      How developers use Google Cloud Bigtable and Google Cloud Datastore
      Avatar of CommentBox.io
      CommentBox.io uses Google Cloud DatastoreGoogle Cloud Datastore

      This is our primary database, though most of our actual data is stored in static storage. This database houses the metadata necessary for indexing and finding static data.

      Avatar of papaver
      papaver uses Google Cloud DatastoreGoogle Cloud Datastore

      worked with a client that used datastore as their backend database. helped plan out their schema and architecture. loved the speed and simplicity.

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      Giftstarter uses Google Cloud DatastoreGoogle Cloud Datastore

      We store our data in this store.

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