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Our Cloud Database solutions on AWS deliver powerful and flexible options for storing and managing data. We enable the creation of scalable and secure applications using various database services such as Amazon RDS, Amazon DynamoDB, and Amazon Redshift, catering to relational, NoSQL, columnar, and time-series data needs.
Overview
Our cloud database solutions on AWS provide a comprehensive and adaptable approach to data management. Tailored to meet specific organizational needs, we offer a range of database services that support various data types and workloads.
For relational database requirements, we leverage Amazon RDS for MySQL and PostgreSQL, along with Amazon Aurora, to ensure high availability and performance.
For NoSQL applications, our solutions include Amazon DynamoDB and Amazon DocumentDB, delivering seamless scaling and low-latency data access. Analytical workloads benefit from our integration with Amazon Redshift and Google Cloud Bigtable, offering powerful columnar database capabilities for efficient querying and data analysis.
Additionally, our time-series database solutions, featuring Amazon Timestream and InfluxDB, are designed for applications that monitor and analyze time-based events.
Our AWS cloud database solutions ensure robust security, scalability, and performance, with features like automated backups and data encryption. We support both new application development and the migration of existing workloads to the cloud, providing the tools and expertise needed to manage data effectively in a modern cloud environment.
Highlights
- Comprehensive and Adaptable Data Management: Our cloud database solutions provide tailored options to support a wide range of data types and workloads, ensuring flexibility and scalability for various organizational needs.
- High Availability and Performance: Designed to ensure robust performance and availability, our solutions are ideal for both relational and NoSQL database applications.
- Advanced Analytical and Time-Series Capabilities: Enhance your data analysis with powerful tools and manage time-series data efficiently, supporting modern applications with seamless data access and querying.
Details
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Deployed on AWS
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