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.
Google Cloud Datastore is a tool in the NoSQL Database as a Service category of a tech stack.
Who uses Google Cloud Datastore?
78 companies reportedly use Google Cloud Datastore in their tech stacks, including Bunch, SnapEngage, and Policygenius.
129 developers on StackShare have stated that they use Google Cloud Datastore.
Pros of Google Cloud Datastore
Ability to query any property
Pay for what you use
Google Cloud Datastore's Features
- Schemaless access, with SQL-like querying
- Managed database
- Autoscale with your users
- ACID transactions
- Built-in redundancy
- Local development tools
Google Cloud Datastore Alternatives & Comparisons
What are some alternatives to Google Cloud Datastore?
See all alternatives
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 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 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 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).
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.