NoSQL Database Monitoring

Troubleshoot faster with database server monitoring tools

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Get visibility into thousands of NoSQL key metrics

NoSQL databases are popular among enterprise-level companies because they can efficiently store and access large amounts of data. However, vast data volumes can require NoSQL database server monitoring tools to help tell you exactly what’s happening with your database.

SolarWinds^® Database Observability lets you track and analyze your databases’ most important performance metrics—and offers a comprehensive set of NoSQL database performance monitoring tools designed to help you fix issues faster.

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Examine NoSQL database performance issues in granular detail

The NoSQL DB real-time monitoring capability of SolarWinds^® Database Observability is built to provide around-the-clock monitoring for your database instances, with down-to-the-minute granularity. Powerful detection systems can help you identify issues as they unfold, while historical performance data can be used to identify longer-term trends.

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Proactive alerting to keep you informed

Having the right NoSQL database performance monitoring tool can make all the difference. The deep monitoring and analysis of SolarWinds Database Observability feeds into its smart reporting and alerting systems, which help ensure you stay on top of what’s happening with your databases.

Once you’ve set acceptable performance thresholds, Database Observability can notify you when resource utilization approaches the limits. You can also schedule summary reports about database health and performance to generate and distribute automatically.

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Monitor NoSQL databases at scale without expensive software installations and rollouts

SolarWinds Database Observability is designed to be a powerful and affordable NoSQL database monitoring tool for working IT professionals. Database Observability is available as an offering on the SolarWinds Observability SaaS solution with flexible licensing options available.

Save time and resources otherwise spent provisioning, deploying, and maintaining a database monitoring solution. Discover Database Observability, an affordable and efficient NoSQL database performance monitoring tool designed to improve your performance and help ensure data is kept safe in transit and at rest.

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Get More on NoSQL Database Monitoring Tool

Do you find yourself asking…

What is a NoSQL database?
What are the benefits of using NoSQL databases?
What is NoSQL real-time monitoring?
Benefits of using tools to monitor NoSQL databases

Compared to SQL database that handle structure data about the relationships between clients, tables, variables, and other entities, NoSQL databases introduce greater flexibility and scalability into database storage with their non-tabular and non-relational model, which allows different database types to be used to effectively support different kinds of data storage.

NoSQL databases and other non-relational databases can still store relational data, and in some cases, relationship data can be modelled more efficiently in NoSQL databases, since the relational data doesn’t need to be distributed across multiple tables. This is because they allow for related data to be consolidated into one data structure.

There are four primary kinds of NoSQL databases:

Document: These databases allow documents to be efficiently stored, nested, and accessed similar to how applications use data objects. They also allow for indexing to reduce query response times.
Key value: Somewhat akin to a two-column relational table, these NoSQL databases store data elements with a key (or attribute name) and a corresponding value. These streamlined NoSQL databases are useful for managing online shopping carts and end user profiles or preferences.
Column: These NoSQL databases organize data into smaller sets of columns, which provides efficient data compression and enables faster database reads. These databases are particularly useful for running analytics.
Graph: This database structure directly stores relational information and connections between distinct data elements, which can be helpful for fraud detection.

Compared to SQL database that handle structure data about the relationships between clients, tables, variables, and other entities, NoSQL databases introduce greater flexibility and scalability into database storage with their non-tabular and non-relational model, which allows different database types to be used to effectively support different kinds of data storage.
NoSQL databases and other non-relational databases can still store relational data, and in some cases, relationship data can be modelled more efficiently in NoSQL databases, since the relational data doesn’t need to be distributed across multiple tables. This is because they allow for related data to be consolidated into one data structure.
There are four primary kinds of NoSQL databases:
Document: These databases allow documents to be efficiently stored, nested, and accessed similar to how applications use data objects. They also allow for indexing to reduce query response times.
Key value: Somewhat akin to a two-column relational table, these NoSQL databases store data elements with a key (or attribute name) and a corresponding value. These streamlined NoSQL databases are useful for managing online shopping carts and end user profiles or preferences.
Column: These NoSQL databases organize data into smaller sets of columns, which provides efficient data compression and enables faster database reads. These databases are particularly useful for running analytics.
Graph: This database structure directly stores relational information and connections between distinct data elements, which can be helpful for fraud detection.