🚀NoSQL Connectors

Work with modern, flexible NoSQL databases for document-oriented and multi-model data validation.

Overview

NoSQL databases provide flexible schemas and distributed architectures ideal for modern applications. Data Testing supports leading NoSQL platforms for comprehensive data validation and comparison workflows.

NoSQL connectors support native query languages, document filtering, and advanced aggregation capabilities for flexible validation.

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Available NoSQL Connectors

⭐ Multi-Model Databases (Official)

Unified multi-model data platforms with official Qyrus support:

✅ Official Integration - SurrealDB is the officially supported multi-model database connector for Qyrus Data Testing, providing comprehensive features for complex data validation workflows.

Connector	Type	Best For
SurrealDB	Multi-Model	Complex, multi-type data validation

Perfect for:

• ✅ Document, graph, and relational data

• ✅ Real-time applications

• ✅ Time-series and geospatial data

• ✅ Full-text and vector search validation

SurrealDB Connector →

Document Databases

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Common NoSQL Configuration

Connection Parameters

Parameter	Description	Required
Host	Database server address or connection string	✅ Yes
Port	Database service port	✅ Yes
Database Name	Specific database/catalog	✅ Yes
Authentication	Username/Password or connection credentials	⚠️ Optional

Query Configuration

NoSQL databases use their native query languages:

• MongoDB: Uses MongoDB Query Language (MQL)

• SurrealDB: Uses SurrealQL

• Aggregation Pipelines: Supported for complex transformations

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MongoDB Guide

Document-based database with BSON format:

MongoDB is ideal for:

• Semi-structured data

• Document comparisons

• Array and object validation

• Flexible schema evolution

View MongoDB Connector Documentation →

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SurrealDB Guide

⭐ Official Integration - Multi-model database with SQL-like querying:

SurrealDB is Qyrus Data Testing's officially supported multi-model connector, ideal for:

• Multiple data types in one system

• Graph relationships

• Time-series data

• Real-time applications

• Complex multi-type data validation workflows

View SurrealDB Connector Documentation →

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🔐 Security Best Practices

Security Recommendations:

1. ✅ Use authentication on all instances

2. ✅ Implement network access controls

3. ✅ Use TLS/SSL for all connections

4. ✅ Create dedicated read-only validation users

5. ✅ Rotate credentials regularly

6. ✅ Enable audit logging

7. ✅ Restrict access by IP/network

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Performance Optimization

Optimization	Benefit	Impact
Create indexes on queried fields	Faster query execution	High
Use aggregation pipelines	Filter data early	High
Limit result sets	Reduce memory usage	High
Batch processing	Enable parallel validation	Medium
Connection pooling	Efficient resource usage	Medium

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Choosing Between MongoDB and SurrealDB

Aspect	MongoDB	⭐ SurrealDB (Official)
Data Model	Document-oriented	Multi-model
Query Language	MQL/Aggregation	SurrealQL/SQL
Schema Flexibility	Semi-structured	Highly flexible
Relationships	Embedded/References	Native graph support
Time-Series	⚠️ Limited	✅ Native support
Geospatial	✅ Advanced	✅ Advanced
Real-time	WebSocket support	Built-in real-time
Qyrus Official Support	ℹ️ Community	✅ Officially Supported

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🚀 Quick Start

1. Choose your NoSQL platform (MongoDB or SurrealDB)

2. Gather connection details from your database administrator

3. Configure the connector in your Data Testing job

4. Write a query using the platform's query language

5. Test the connection before creating validation jobs

6. Create Compare or Evaluate jobs for data validation

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Related Documentation

• MongoDB Connector

• SurrealDB Connector

• Data Source Overview

• Create Compare Job

• Create Evaluate Job