Database Observability Features
What are the features of Database Observability?
Functionality
- Monitoring
- Alerting
- Logging
- Response Time
- Reporting
- Data Visualization
Maintenance
- Data Migration
- Backup and Recovery
- Multi-User Environment
Management
- Data dictionary
- Data Replication
- Query Language
- Data Modeling
- Performance Analysis
Security
- User Access Control
Top Rated Database Observability Alternatives
Database Observability Categories on G2
Filter for Features
Functionality
Monitoring | Monitors database functionality to verify baselines are maintained or exceeded. 67 reviewers of Database Observability have provided feedback on this feature. | 95% (Based on 67 reviews) | |
Alerting | As reported in 67 Database Observability reviews. Sends alerts via email, text, phone, and more when an incident or issue occcurs. | 90% (Based on 67 reviews) | |
Logging | Captures logs for all database functions to garner greater information around issues or failures. This feature was mentioned in 67 Database Observability reviews. | 91% (Based on 67 reviews) | |
Response Time | Based on 67 Database Observability reviews. Monitors database query time for unusual execution times | 90% (Based on 67 reviews) | |
Reporting | Manually and/or automatically generates reports covering database performance 67 reviewers of Database Observability have provided feedback on this feature. | 89% (Based on 67 reviews) | |
Data Visualization | Based on 67 Database Observability reviews. Follows database monitoring live information through graphical dashboards | 88% (Based on 67 reviews) | |
Documentation management | Automatic creation and management of documents. | Not enough data | |
Platform support | The software supports a wide variety of data sources and data warehouses that require automation. | Not enough data | |
Template functionality | Supports a template system, making it easier to set up configuration parameters. | Not enough data |
Maintenance
Data Migration | Allows data movement from one database to another. This feature was mentioned in 15 Database Observability reviews. | 73% (Based on 15 reviews) | |
Backup and Recovery | Provides data backup and recovery functionality to protect and restore a database. 15 reviewers of Database Observability have provided feedback on this feature. | 81% (Based on 15 reviews) | |
Multi-User Environment | Allows users to access and work on data concurrently, supporting several views of the data. 16 reviewers of Database Observability have provided feedback on this feature. | 84% (Based on 16 reviews) |
Management
Data dictionary | As reported in 15 Database Observability reviews. Stores the database metadata, that is the definitions of data elements, types, relationships etc. | 86% (Based on 15 reviews) | |
Data Replication | Creates a copy of the database to maintain consistency and integrity. 15 reviewers of Database Observability have provided feedback on this feature. | 81% (Based on 15 reviews) | |
Query Language | Allows users to create, update and retrieve data in a database. 15 reviewers of Database Observability have provided feedback on this feature. | 84% (Based on 15 reviews) | |
Data Modeling | See feature definition | Defines the logical design of the data before building the schemas. 15 reviewers of Database Observability have provided feedback on this feature. | 83% (Based on 15 reviews) |
Performance Analysis | As reported in 16 Database Observability reviews. Monitors and analyzes critical database attributes like query performance, user sessions, dead lock detail, system errors etc and visualize them on a custom dashboard. | 93% (Based on 16 reviews) |
Security
Data Encryption | Encrypts and transforms data at the database from a readable state into a ciphertext of unreadable characters. 14 reviewers of Database Observability have provided feedback on this feature. | 82% (Based on 14 reviews) | |
User Access Control | Allows restricted user acess to modify depending on the access level. 16 reviewers of Database Observability have provided feedback on this feature. | 88% (Based on 16 reviews) |
Administration
Error Alerts | Software is able to alert the user in case of any errors. | Not enough data | |
Service Automation | Utilizes data to proactively identify IT issues. | Not enough data | |
Workflow management | Creates new or streamlines existing data models to ensure business continuity. | Not enough data |
Automation
Workflow Automation | Automates all parts of the Data Warehouse lifecycle - warehouse design, provision data sources. | Not enough data | |
Multi-platform support | Supports real-time data ingestions and updates in the cloud or on-premises. | Not enough data | |
Data Management | Software delivers insights into data in order to identify gaps, risk within the data warehouse. | Not enough data | |
Data Simplicity | Supports no-code/low code development patterns. | Not enough data |
