Cloudant vs Google Cloud Datastore: What are the differences?
Developers describe Cloudant as "Distributed database-as-a-service (DBaaS) for web & mobile apps". Cloudant’s distributed database as a service (DBaaS) allows developers of fast-growing web and mobile apps to focus on building and improving their products, instead of worrying about scaling and managing databases on their own. On the other hand, Google Cloud Datastore is detailed 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.
Cloudant and Google Cloud Datastore can be primarily classified as "NoSQL Database as a Service" tools.
Some of the features offered by Cloudant are:
- Managed- Cloudant's big data experts monitor your data 24/7 to ensure its high availability and safety.
- Distributed Multi-Master Database- All read and write transactions can be synced across Cloudant's global data network without global locks, providing true high availability of your data.
- Geo-load Balancing- To keep latency low, our geo-load balancing infrastructure routes requests to the copies of the data that are geographically closest to the requestor.
On the other hand, Google Cloud Datastore provides the following key features:
- Schemaless access, with SQL-like querying
- Managed database
- Autoscale with your users
"JSON" is the primary reason why developers consider Cloudant over the competitors, whereas "High scalability" was stated as the key factor in picking Google Cloud Datastore.
What is Cloudant?
What is Google Cloud Datastore?
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What are the cons of using Cloudant?
What are the cons of using Google Cloud Datastore?
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When creating proofs of concept or small personal projects that are hosted primarily in GCP, with non-relational data models, this is the NoSQL managed database I usually pair them with.
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.
worked with a client that used datastore as their backend database. helped plan out their schema and architecture. loved the speed and simplicity.