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Learn MorePros of Google Cloud Datastore
Pros of Google Cloud Spanner
Pros of Google Cloud Datastore
- High scalability7
- Serverless2
- Ability to query any property2
- Pay for what you use1
Pros of Google Cloud Spanner
- Strongly consistent1
- Horizontal scaling1
- Scalable1
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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.
What is 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.
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Jobs that mention Google Cloud Datastore and Google Cloud Spanner as a desired skillset
What companies use Google Cloud Datastore?
What companies use Google Cloud Spanner?
What companies use Google Cloud Datastore?
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What tools integrate with Google Cloud Datastore?
What tools integrate with Google Cloud Spanner?
What tools integrate with Google Cloud Spanner?
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What are some alternatives to Google Cloud Datastore and Google Cloud Spanner?
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.
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.
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.
Elasticsearch
Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).
Cassandra
Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.