Benefits

1. Rapid Horizontal and Vertical Auto-Scaling

Catalyst offers a low latency, high throughput database solution with NoSQL where its robust servers can auto-scale up or down seamlessly depending on the load. NoSQL’s architecture also facilitates both horizontal and vertical scaling, wherein new resources are added to the existing system (vertical scaling), and new server racks are provisioned (horizontal scaling) based on demand. These together ensure that you are provided with a durable and reliable infrastructure upon which you can efficiently store and manage large volumes of data.

2. Fully-Managed, Secure Infrastructure for your Database

You can experience a fully-managed database that allows you to offload all administrative tasks with Catalyst, as compared to a self-hosted NoSQL database, and focus only on building your schema and working with your data. You also benefit from a secure and trusted platform built on Zoho’s tried-and-tested infrastructure that protects your data and provides ease of development, functionality, and performance at scale.

3. Fast and Powerful Querying with NoSQL Components

Catalyst NoSQL provides dynamic, flexible querying by supporting composite primary keys that are composed of both partition keys and sort keys. This proves beneficial while querying, as the former attribute is used to determine the partition an item is stored in, while the latter can determine its range in its sorted order. In addition to these, Catalyst enables you to query using additional sort keys, besides the main sort key, as well as create and query with indexes in your table for convenience. These functionalities are advantageous and ensure you can build and deploy high-performance, dependable applications.

4. Easy and Secure Third-Party Meta and Data Migration

You can utilize a convenient method of migrating large volumes of metadata as well as data stored in third-party services into Catalyst with the click of a few buttons. NoSQL currently supports migration from AWS DynamoDB by configuring the required access tokens. This handy feature lets you migrate the schema and meta information of your NoSQL tables set up in AWS in the development environment of Catalyst, while availing the ability to migrate data from your AWS NoSQL tables in the production environment.

5. Optimized and Highly Available Storage

The general underlying architecture of NoSQL facilitates high data storage optimization through the usage of flexible data models by default. Catalyst NoSQL’s support of the key-value pair based data storage eliminates the dependency on object-oriented storage, which further ensures storage optimization. Additionally, partitioning and replicating the storage across clusters provides high fault tolerance and high availability of data, even during crucial situations.

6. Cost-Efficient Storage Solution

When you choose NoSQL for the right requirements, you can benefit from a highly cost-efficient way of operating and managing your data. Catalyst offers the best pricing for performing CRUD operations in NoSQL through its innovating pricing strategies, that further enhances cost efficiency. NoSQL also provides an automated way of deleting items from your tables by marking their expiration periods through a TTL (Time To Live) attribute, that saves you from performing unnecessary writes for manual deletion.

7. Ease of Access with the Console, Server-Side SDK, and API

You can create tables in NoSQL for your project from the Catalyst console, as well as perform table configuration and management, data addition and querying there. NoSQL data operations are also available in the Java, Node.js, and Python SDKs, allowing you to incorporate them into your server-side logic with ease. Catalyst also enables you to avail of multiple APIs for these NoSQL operations.