SQL Server
Oracle
MySQL
PostgreSQL
Amazon Redshift
Azure SQL Database
DBT
Google Big Query
IBM DB2
MariaDB
SAP HANA
Snowflake
SQLite
Teradata
Vertica
Data observability tools for Redis
Data observability tools help the company track and understand the state of its data at any given time and provide it with full insight into their data pipelines. They also allow them to identify, monitor and troubleshoot errors in order to minimize data issues and improve high data quality.
Dynatrace
Being named a leader among products in Database Monitoring Software, Dynatrace database observability helps you track and measure your database metrics in real-time to optimize application performance. It monitors and analyzes the database activity of your services, providing you with observability down to individual SQL and NoSQL statements.
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Splunk Observability
Splunk Observability is the only full-stack, analytics-powered, and OpenTelemetry-native observability solution. It provides end-to-end visibility across your entire hybrid technology landscape, from application performance monitoring, infrastructure monitoring, and real user monitoring, to synthetic monitoring, log observer, and IT service intelligence.
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Elastic Observability
Elastic Observability transforms your data into actionable observability. It is built on the proven ELK Stack to converge metrics, logs, and traces, delivering unified visibility and actionable insights. With Elastic Observability, you can easily ingest metrics, logs, and traces quickly and easily from applications and infrastructure hosted in a data center or on cloud providers.
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Grafana Cloud
Grafana Cloud is a composable observability platform, integrating metrics, traces, and logs with Grafana. It leverages the best open-source observability software, including Prometheus, Loki, and Tempo, without the overhead of installing, maintaining, and scaling your observability stack. With Grafana Cloud you can go from zero to beautiful graphs, insightful logs, and valuable alerts in minutes.
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Instana
Instana's Enterprise Observability Platform ingests all performance metrics, traces all requests, and profiles every process, along with the capabilities needed to make observability work for the enterprise. Its automatic discovery, monitoring, root cause analysis, and feedback reduce the amount of stress when deploying new code or making changes to the system with immediate feedback on the performance and quality of your applications at each step of the software delivery pipeline.
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Lightstep
Lightstep is a complete, unified, and primary observability platform for the enterprise that provides complete system visibility and context at scale. It automatically detects changes to your application, infrastructure, and user experience — and surface the specific causes. Moreover, Understand and improve performance across millions of devices, users, and customers. Overall, visualize, aggregate, and analyze planet-scale application and infrastructure metrics at a fraction of the cost
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Data observability tools help the company track and understand the state of its data at any given time and provide it with full insight into their data pipelines. They also allow them to identify, monitor and troubleshoot errors in order to minimize data issues and improve high data quality.
By monitoring data across multi-layered IT architecture, data observability tools enable identifying bottlenecks and data issues no matter where they originate. Thanks to new insights into how the data is moving through your IT infrastructure, it's possible to improve identification and resolution of the errors and search for the issues that could potentially be missed.
To help you select the best solution for monitoring the data health in your company, we've prepared a list of data observability tools that will enable your team to understand your data systems to fix and prevent data problems.