Ataccama ONE
Agentic data trust platform that connects to GCS with a service account key, reading CSV, Avro, Parquet, or Excel files in a bucket to browse and profile them.
Best for teams that want profiling and data quality rules on GCS with governance and MDM in the same platform.
Monte Carlo
Data + AI observability platform that monitors GCS files through external tables in BigQuery, Snowflake, or Databricks, rather than connecting to the bucket directly.
Best for teams that want ML monitors and lineage on GCS with incident management at enterprise scale.
Acceldata
Autonomous data and AI platform that connects to GCS with a service account or GKE Workload Identity, crawls a bucket on a schedule, and monitors CSV, Parquet, JSON, or ORC files for schema drift.
Best for teams that want profiling and quality policies on GCS with pushdown or Spark engines.
Qualytics
Data quality control layer that connects to GCS with a service account holding Storage Object Viewer, reading files from a chosen folder to profile and scan them.
Best for teams that want inferred data quality checks on GCS with checks generated from profiles.
DQOps
Open-source data quality operations center that connects to GCS through DuckDB with an interoperability access key, reading CSV, JSON, or Parquet files and running profiling and monitoring checks.
Best for teams that want free, self-hosted profiling and monitoring checks on GCS with an open-source core.
Datafold
AI-powered data engineering platform that connects to GCS with a service account key and writes optional data diff results to a bucket directory.
Best for teams that want row-level data diffs on GCS with migration and pull request checks.
Telmai
AI-based data observability platform that connects to GCS with your service account or Telmai's and reads files by path or wildcard to monitor them.
Best for teams that want anomaly and drift detection on GCS with processing outside the warehouse.
Data Contract CLI
Open-source command-line tool for ODCS data contracts that tests files on Google Cloud Storage through S3 interoperability, with an HMAC key ID and secret.
Best for teams that want Google Cloud Storage data tested against vendor-neutral ODCS data contracts in CI/CD with one command.
Collate
Managed agentic data platform built on OpenMetadata that connects to GCS with a service account and ingests metadata from JSON, CSV, TSV, and Parquet files under a bucket prefix.
Best for teams that want GCS cataloged with lineage, rather than checks on the data.
OpenMetadata
Open-source context platform that connects to GCS with a service account and ingests metadata from JSON, CSV, TSV, and Parquet files under a bucket prefix.
Best for teams that want GCS cataloged with lineage, rather than checks on the data.
Coalesce Quality
Data quality product by Coalesce, built on SYNQ, that runs as a CLI with application default credentials to list buckets and publish each one as a catalog entity with its storage class, location, and labels.
Best for teams that want GCS cataloged with lineage, rather than checks on the data.
Pantomath
AI-powered data operations center with data and pipeline observability, cross-platform pipeline lineage, and automated root-cause analysis.
Best for data operations teams that need to trace failures across pipelines and route incidents to Jira or ServiceNow.
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.
Decube
Data observability, quality, and lineage platform that links data monitors to column-level lineage, a data catalog, and access control to show business impact.
Best for data teams that want observability, a data catalog, and data governance in the same tool.
Great Expectations
Open-source Python data quality framework, stewarded by Fivetran, with 50+ declarative expectations to validate files, SQL databases, warehouses, and DataFrames.
Best for Python data engineers who want a free, code-first testing library and don't need a managed UI, since GX Cloud is no longer available.
Related integrations
Join the monthly newsletter
Evaluating data tools in 2026?
I curate the most comprehensive lists of data tools, up-to-date comparison tables, and actionable market guides for data teams. More useful than a Gartner report. More reliable than asking AI. Next up: Data Governance, Data FinOps, Data Orchestration...
No spam. Unsubscribe anytime.
By Ari Bajo - Data Engineer turned Writer.