NoSQL Databases - SaveinCloud
Get flexibility, performance, and scale with NoSQL databases ready to grow with your application. At SaveinCloud, you reduce complexity and accelerate results from day one.
Simplify modern applications with NoSQL databases
SaveinCloud NoSQL databases make it easier to build modern applications that require flexibility, performance, and scalability. Unlike relational databases, NoSQL handles unstructured data better and removes rigid schemas.
On Cloudlets App Platform, NoSQL databases are ready to use. You do not need to configure clusters, load balancing, or complex maintenance routines. The platform also adjusts resources on demand, without downtime.
SaveinCloud non-relational databases integrate easily with APIs, microservices, and distributed architectures, so you speed up development and keep full focus on the application.
Why choose SaveinCloud for NoSQL databases?
At SaveinCloud you use fully managed NoSQL databases in the cloud. You avoid operational tasks and gain predictability. The Cloudlets App Platform delivers scalability, security, and high availability, with simple integration to relational databases when needed.
Simple deployment and automatic management
Create your NoSQL database in a few clicks or via API. The platform handles configuration and maintenance, saving time and reducing operational errors.
Scalability on demand
NoSQL databases scale horizontally with ease. Add nodes as demand grows and reduce common bottlenecks in relational databases.
High performance for intensive workloads
SaveinCloud non-relational databases use optimized infrastructure for low latency and fast responses, ideal for real-time and high-traffic applications.
Integrated security and automatic backups
Data runs on a private network with advanced security policies. The platform offers automatic backups to protect your data from failures and incidents.
High availability with clusters
Cloudlets App Platform enables automatic clustering. Your NoSQL database stays available even during failures, keeping critical applications stable and continuous.
NoSQL databases available on Cloudlets App Platform
We offer different NoSQL technologies for multiple scenarios. You can combine NoSQL and relational databases in the same environment.
MongoDB for flexible data
MongoDB is a document-oriented NoSQL database, ideal for flexible data and modern applications. On SaveinCloud it is available in the most used market versions, with Auto-Cluster to create a MongoDB Cluster in a few clicks.
Couchbase for high performance
Couchbase combines NoSQL storage with high performance and horizontal scalability. On SaveinCloud it is ready to use with automatic scaling and preconfigured load rebalancing.
OpenSearch for search and analytics
OpenSearch is a NoSQL database optimized for fast search and analysis of large data volumes. It offers automatic clustering, high scalability, and integration with visualization dashboards and Logstash for efficient log processing.
Redis for cache and real time
Redis is an in-memory NoSQL database, ideal for cache, queues, sessions, and low-latency applications. It includes Auto-Clustering and Multi-Region support so you can prioritize performance or reliability for your project.
Take the next step
Take your projects from concept to launch with maximum agility. Rely on cutting-edge technology and 100% Brazilian infrastructure, fully adaptable to your demand.
Discover all products
Grow with higher performance and security by developing and scaling your applications using compute, database, storage, networking, backups, and much more.
Talk to a specialist
Talk to our team of technical consultants and get personalized guidance. Our team is ready to understand your needs and offer the most suitable solutions.
Sign up and start using
Create your account online and get started right away. You can choose to top up R$ 50 and start using the platform, or receive a R$ 200 bonus to explore the platform.
Frequently Asked Questions (FAQ) - NoSQL databases
What are NoSQL databases?
NoSQL databases are non-relational databases designed for flexible data models. They do not use traditional tables and store information in formats such as documents, key-value pairs, graphs, or columns. They handle semi-structured or unstructured data well and allow quick structure changes, and are widely recognized for ease of development, high performance at scale, and compatibility with modern applications.
What is the difference between NoSQL and relational (SQL) databases?
Relational databases use tables, rows, and columns with rigid schemas defined by SQL. NoSQL uses flexible structures that adapt better to dynamic data, scale horizontally more easily, and serve applications that require speed and high availability. The term "NoSQL" emerged to differentiate these models from traditional databases.
What are the advantages of NoSQL databases?
Flexibility: they allow open schemas that speed up development and facilitate frequent changes.
Scalability: NoSQL typically scales horizontally with distributed clusters without relying on expensive servers.
High performance: each NoSQL type is optimized for specific access patterns and data volume.
High functionality: they offer APIs, models, and structures for documents, key-value, or graphs.
How do NoSQL databases work?
NoSQL databases use varied data models to store and query information. They relax some strict consistency requirements of relational databases and offer low latency and high performance. Many use JSON as the standard format for name-value data, which eases integration with modern applications.
What are the use cases for NoSQL databases?
Non-relational databases serve different scenarios:
High-availability applications: messaging, social media, collaboration, and file transfer.
Security and analytics: graph-based databases help identify complex relationships and patterns.
Real-time data: recommendation, personalization, and continuous user experience.
Large-scale systems: IoT, gaming, web applications, and distributed services.
When to use NoSQL instead of SQL?
Use NoSQL when the data structure changes frequently or is unpredictable. It is ideal with large data volume, need for distributed scalability, or priority for availability and speed. In applications with high load variation, NoSQL tends to be more efficient.
Does NoSQL replace SQL?
No. In practice, NoSQL and SQL complement each other. SQL works better for structured data and complex ACID operations. NoSQL serves high-performance scenarios, unstructured data, and massive scalability.
Are SaveinCloud NoSQL databases managed?
Yes. On Cloudlets App Platform, NoSQL databases are fully managed. You do not need to handle installation, configuration, patches, or maintenance; your team focuses only on application development.
What NoSQL databases does SaveinCloud offer?
SaveinCloud offers Redis, MongoDB, Couchbase, and OpenSearch. Each serves specific use cases with clustering and high availability, and all scale easily with demand.
Do SaveinCloud NoSQL databases support scalability?
Yes. They support horizontal scalability, creation of new nodes, and automatic adjustments as traffic grows, keeping stable performance even during usage peaks.
Are SaveinCloud NoSQL databases secure?
Yes. They run within your account private network, accept only authorized access, and keep data encrypted, with isolation policies and modern cloud security practices.