Database

Cloud Database Providers and Features

DartStream provides a comprehensive suite of database features to support various application needs. Whether using the open-source version for basic database interactions or the SaaS version for advanced database management and analytics, DartStream ensures robust, scalable, and secure data handling capabilities.

Cloud Database Providers: Open Source, SaaS

• Google Cloud Platform (GCP)

Cloud Database Providers: SaaS

• Amazon Cloud

• IBM Cloud

• Oracle Cloud

• Alibaba Cloud

• Digital Ocean

• Couchbase Cloud

• MongoDB Atlas

• Snowflake

• Redis Labs (Redis Enterprise)

• Scylla DB Cloud

• CockroachDB Cloud

Features: Open Source, SaaS

The open-source version of DartStream offers fundamental database functionalities suitable for smaller applications and developers seeking a flexible yet straightforward database management solution:

1. Basic CRUD Operations

   • Essential create, read, update, and delete operations.

   • Simplifies data handling and manipulation tasks.

2. Database Migration Tools

   • Provides tools for managing schema updates through migration scripts.

   • Eases the transition between different versions of the database.

3. Query Builder

   • Simplified query builder for constructing database queries programmatically.

   • Reduces the need for complex SQL statements.

4. NoSQL and SQL Integration

   • Supports integration with both SQL and NoSQL databases.

   • Offers flexibility in choosing the appropriate database type for the project.

5. Data Validation

   • Basic utilities for validating data inputs and schema integrity.

   • Ensures data consistency and correctness.

Features: SaaS

The SaaS version of DartStream enhances database capabilities with features designed for large-scale, data-intensive applications and enterprises that require advanced data management and analysis tools:

1. Managed Database Services

   • Fully managed services with auto-scaling, backups, and automated redundancy.

   • Reduces the overhead of database maintenance.

2. Database Sharding and Partitioning

   • Built-in tools for distributing large datasets across multiple servers.

   • Improves performance and scalability for extensive databases.

3. Historical Data Analysis

   • Tools for analyzing and reporting on historical data trends.

   • Provides insights into past performance and usage patterns.

4. Query Optimization Suggestions

   • Real-time suggestions to enhance query performance.

   • Helps developers write more efficient queries and reduce execution time.

5. Advanced Replication and Geo-Redundancy

   • Geo-redundant copies of databases for global accessibility and disaster recovery.

   • Ensures data availability across different regions.

6. Data Pipeline Integration

   • ETL (Extract, Transform, Load) integration with data lakes or warehouses.

   • Facilitates data movement and transformation between systems.

7. Automated Schema Versioning

   • Automatically manages schema versions for multi-environment deployments.

   • Simplifies the process of rolling out changes across various environments.

8. High Availability and Failover

   • Redundant database instances to ensure 99.99% uptime.

   • Provides failover mechanisms to maintain service continuity during outages.

9. Data Masking and Compliance

   • Tools for masking sensitive data to secure test and staging environments.

   • Ensures compliance with data protection regulations.

10. Database Monitoring and Alerts

    • Proactive alerts and monitoring tools to identify and address performance issues.

    • Helps maintain optimal database performance and reliability.