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 Apache Spark
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.
Monte Carlo
Monte Carlo's Data Observability platform uses machine learning to infer and learn what your data looks like, proactively identify data downtime, assess its impact, and notify those who need to know. It automatically and immediately identifies the root cause and lets you see all your data dependencies in one place, thereby allowing you to collaborate and resolve issues faster.
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Dataedo
Dataedo is a data governance & data catalog software with data observability features such as data lineage, data profiling, and schema change tracking.
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Databand
Databand is a proactive data observability platform that ties directly into all stages of your data pipelines, starting with your source data. It automatically collects metadata from your modern data stack, builds historical baselines based on common data pipeline behavior, and lets you get visibility into every data flow from source to destination. It pinpoints unknown data incidents and reduces mean time to detection (MTTD) from days to minutes.
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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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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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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.