We provide a wide range of database solutions across both AWS and Azure platforms, including:
Our Database Offerings
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Relational Databases:
Structured data management using SQL-based systems,
ideal for transactional applications.
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NoSQL Databases:
Flexible schema designs for unstructured data,
allowing for high performance and scalability.
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Document Stores:
Efficient storage of semi-structured data, perfect
for applications that require rapid retrieval of
documents.
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Graph Databases:
Optimized for managing complex relationships between
data points, useful in social networks and
recommendation systems.
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Archival Databases:
Long-term storage solutions for infrequently
accessed data, ensuring compliance and
cost-effectiveness.
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In-Memory Databases:
High-speed data access for real-time analytics and
applications requiring low latency.
-
Relational Databases:
Structured data management using SQL-based systems, ideal for transactional applications.
-
NoSQL Databases:
Flexible schema designs for unstructured data, allowing for high performance and scalability.
-
Document Stores:
Efficient storage of semi-structured data, perfect for applications that require rapid retrieval of documents.
-
Graph Databases:
Optimized for managing complex relationships between data points, useful in social networks and recommendation systems.
-
Archival Databases:
Long-term storage solutions for infrequently accessed data, ensuring compliance and cost-effectiveness.
-
In-Memory Databases:
High-speed data access for real-time analytics and applications requiring low latency.