Need advice about which tool to choose?Ask the StackShare community!

Google Cloud Datastore

251
356
+ 1
12
Orchestrate

5
16
+ 1
0
Add tool

Google Cloud Datastore vs Orchestrate: What are the differences?

Developers describe Google Cloud Datastore as "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. On the other hand, Orchestrate is detailed as "Database as a Service. Add Search, Time-Ordered Events, Geospatial or Graph Queries Fast with a REST API". Orchestrate is a managed database service that delivers a single access point to full-text search, time-ordered events, geospatial and graph queries through a REST API. It allows developers to build complete apps or add features to existing ones fast, without the operational burden of deploying and managing multiple databases themselves.

Google Cloud Datastore and Orchestrate can be categorized as "NoSQL Database as a Service" tools.

Some of the features offered by Google Cloud Datastore are:

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

On the other hand, Orchestrate provides the following key features:

  • Search
  • Geospatial
  • Time-series Events
Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of Google Cloud Datastore
Pros of Orchestrate
  • 7
    High scalability
  • 2
    Serverless
  • 2
    Ability to query any property
  • 1
    Pay for what you use
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    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 Orchestrate?

    Orchestrate is a managed database service that delivers a single access point to full-text search, time-ordered events, geospatial and graph queries through a REST API. It allows developers to build complete apps or add features to existing ones fast, without the operational burden of deploying and managing multiple databases themselves.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Google Cloud Datastore?
    What companies use Orchestrate?
    See which teams inside your own company are using Google Cloud Datastore or Orchestrate.
    Sign up for StackShare EnterpriseLearn More

    Sign up to get full access to all the companiesMake informed product decisions

    What tools integrate with Google Cloud Datastore?
    What tools integrate with Orchestrate?
      No integrations found
      What are some alternatives to Google Cloud Datastore and Orchestrate?
      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.
      See all alternatives