MySQL
MySQL is a popular open-source relational database management system known for its speed and reliability.
It’s widely used in web applications and supports a broad range of platforms and programming languages.
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MySQL is a popular open-source relational database management system known for its speed and reliability.
It’s widely used in web applications and supports a broad range of platforms and programming languages.
PostgreSQL is a powerful, open-source object-relational database system known for its advanced features and standards compliance.
It excels in handling complex queries and supports extensibility and data integrity.
Oracle Database is a leading enterprise-grade relational database known for its scalability, security, and comprehensive feature set.
It is widely used by large organizations for mission-critical applications and data warehousing.
Microsoft SQL Server is a robust relational database management system designed for enterprise environments.
It integrates well with Microsoft tools and offers powerful analytics, security, and high availability features.
MariaDB is a community-developed, open-source fork of MySQL that offers enhanced performance and features.
It is fully compatible with MySQL and is often used as a drop-in replacement in web applications.
SQLite is a lightweight, file-based relational database engine known for its simplicity and zero-configuration setup.
It’s widely used in mobile apps, embedded systems, and small to medium-sized applications.
MongoDB is a popular NoSQL document database designed for scalability and flexibility.
It stores data in JSON-like documents, making it ideal for handling unstructured or semi-structured data.
CouchDB is an open-source NoSQL database that uses JSON to store data and JavaScript for queries.
It features easy replication and synchronization, making it suitable for offline-first and distributed applications.
Firestore is a flexible, cloud-hosted NoSQL database from Google designed for real-time data synchronization.
It’s widely used in mobile and web apps to enable seamless offline and online experiences.
Redis is an open-source, in-memory data store known for its lightning-fast speed and versatile data structures.
It’s often used for caching, real-time analytics, and message brokering.
DynamoDB is a fully managed NoSQL database from AWS that delivers high performance and seamless scalability.
It supports key-value and document data models, making it great for web, mobile, and IoT applications.
Riak is a distributed NoSQL database designed for high availability, fault tolerance, and easy scalability.
It’s particularly well-suited for unstructured or semi-structured data and supports key-value storage.
Apache Cassandra is a distributed NoSQL database built for high availability and horizontal scalability.
It excels at handling large volumes of data across many commodity servers, making it a favorite for big data.
Apache HBase is a distributed, column-oriented NoSQL database modeled after Google’s Bigtable.
It’s optimized for random, real-time read/write access to large datasets on top of Hadoop.
Google Bigtable is a scalable, high-performance NoSQL database service for large analytical and operational workloads.
It’s the same database that powers Google Search, Maps, and Gmail.
Neo4j is a leading graph database that excels at handling connected data and complex relationships.
It’s widely used for social networks, recommendation engines, and fraud detection.
Amazon Neptune is a fully managed graph database service that supports both property graph and RDF models.
It’s ideal for building applications that navigate complex, interconnected data with high performance.
ArangoDB is a native multi-model database that supports graph, document, and key-value data in a single engine.
It’s known for flexibility, scalability, and easy querying across multiple data models.
Trust our specialists to deliver robust database architectures that scale with your needs and keep your data safe.
Head of Database Management
John oversees the team, ensuring data solutions align with business goals and industry best practices.
Database Administrator
Sarah manages database performance, backups, and maintenance for seamless operations.
Data Security Specialist
Michael protects your databases against vulnerabilities and ensures compliance.
Data Analyst
Emily turns data into actionable insights, helping you make informed decisions.