At10xCodeLab,weharnessthepowerofNoSQLdatabasestobuildscalable,flexible,anddata-richapplications.Unliketraditionalrelationaldatabases,NoSQLoffersbetterperformanceforlarge-scaleappswithdynamicdatamodels—idealfordocuments,key-values,graphs,ortime-seriesstorage.
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Design and implement scalable NoSQL database based on your specific data requirements.
To increase performance, scalability and flexibility, migrate your existing conditions (SQL) in NoSQL.
Use NoSQL database that handles real-time data processing and is able to make quick decisions.
Customize the NoSQL database for high availability and performance, make sure they are on a scale with your business.
Expert advice to choose the best NoSQL database and architecture for your application, whether it's Mongodb, Cassandra, Couchdb, Redis or ElasticSearch.
NoSQL databases offer a wide range of advantages that make them the ideal choice for modern, data-driven applications
Our approach to NoSQL database development is designed to ensure optimal performance, flexibility, and scalability
We are beginning to understand your data needs, business goals and technical needs to design the best NoSQL architecture for your project.
Depending on your requirements, we recommend and implement the best NoSQL database platform (eg Mongodb, Cassandra, Redis, etc.) that adjusts and uses cases that match your data model and use cases.
We design a strong and scalable NoSQL database structure that supports application requirements and development.
Our team with your application ensures spontaneous integration of your NoSQL database, followed by strict tests to ensure reliability and performance.
After distribution, we continuously monitor the database of performance and scalability, and allow things to run smoothly as needed.
NoSQL refers to a category databases designed for flexibility, scalability and performance not just for "SQL". They are well suited to handle large versions of unnecessary and semi-composed data.
There are several types of NoSQL databases, including: Document-based (e.g., MongoDB) Key-Value Stores (e.g., Redis) Column-family Stores (e.g., Cassandra) Graph Databases (e.g., Neo4j)
NoSQL is ideal for large-scale applications, unnecessary or semi-composed data, or deals with applications that require real-time processing and high availability.
Yes, it is common to migrate from SQL to NoSQL . We help you plan and perform migration easily, and ensure minimal disruption and better performance.
Yes, NOSQL databases often provide more cost -effective scaling, as they support horizontal scaling on many servers, reducing expensive vertical scaling that requires.
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