Collate
Managed agentic data platform built on OpenMetadata that connects with a Db2 user, reads SYSCAT catalog views for metadata, and runs profiler and data quality tests with SELECT access.
Best for teams that want Db2 tables cataloged, profiled, and tested next to their cloud data.
OpenMetadata
Open-source context platform that connects with a Db2 user, reads SYSCAT catalog views for metadata, and runs profiler and data quality tests with SELECT access.
Best for teams that want a free, self-hosted catalog with lineage, profiling, and data quality tests on IBM DB2, with Collate as the managed option.
Ataccama ONE
Agentic data trust platform that connects over JDBC with the db2jcc4 driver and runs row counts and sampling queries against Db2.
Best for enterprises that want Db2 profiling and data quality inside a governance platform with MDM.
Monte Carlo
Data + AI observability platform that connects to Db2 through an agent with a read-only account, reads SYSCAT and SYSIBM catalogs for metadata, and runs custom SQL, metric, validation, and comparison monitors.
Best for teams that want Db2 monitored next to cloud warehouses, through an agent and a read-only account.
Acceldata
Autonomous data and AI platform that connects over JDBC with a Db2 user or secret manager, crawls metadata on a schedule, and applies data quality, reconciliation, drift, and anomaly policies.
Best for enterprises that want reconciliation, drift, and anomaly policies on Db2, often during migrations.
Qualytics
Data quality control layer that connects with the IBM Db2 JDBC driver and optional SSL, reads SYSCAT.SCHEMATA and SYSCAT.TABLES for discovery, and profiles and scans table data.
Best for teams that want Db2 tables profiled and scanned with inferred data quality checks.
Bigeye
Enterprise AI trust platform that connects to Db2 with a read-only user granted SELECT on tables, views, and system tables, then loads and profiles tables for monitoring.
Best for enterprises that want Db2 monitored with automatic metrics next to their cloud warehouses.
DQOps
Open-source data quality operations center that connects with a Db2 user and optional JDBC properties, imports schemas and tables, and runs the profiling and monitoring checks it activates on them.
Best for teams that want free, self-hosted profiling and monitoring checks on Db2.
Soda Cloud
AI-native data quality platform built on data contracts that connects to Db2 LUW with a data source of type db2 and runs quality scans over that connection.
Best for engineers who want data quality checks as code on Db2 LUW.
Anomalo
Autonomous data quality monitoring platform where AI agents monitor, investigate, and report issues across structured and unstructured data.
Best for enterprises that want ML-based monitoring with little rule-writing, including quality checks on unstructured data such as documents.
DQLabs
AI-native platform combining data observability, data quality checks, and business context, with anomaly detection, end-to-end lineage, and pipeline observability.
Best for enterprises that want data quality and observability in one tool, connected to their data catalog and issue management tools.
SelectZero
Self-hosted data observability platform with value-level data validation, column-level lineage, a data catalog, and a business glossary.
Best for enterprises that cannot let data leave their environment and want one self-hosted tool, deployed with Docker.
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By Ari Bajo - Data Engineer turned Writer.