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ease
features
design
support

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Description

Great Expectations serves as a collaborative and open standard aimed at enhancing data quality. This tool assists data teams in reducing pipeline challenges through effective data testing, comprehensive documentation, and insightful profiling. It is advisable to set it up within a virtual environment for optimal performance. For those unfamiliar with pip, virtual environments, notebooks, or git, exploring the Supporting resources could be beneficial. Numerous outstanding companies are currently leveraging Great Expectations in their operations. We encourage you to review some of our case studies that highlight how various organizations have integrated Great Expectations into their data infrastructure. Additionally, Great Expectations Cloud represents a fully managed Software as a Service (SaaS) solution, and we are currently welcoming new private alpha members for this innovative offering. These alpha members will have the exclusive opportunity to access new features ahead of others and provide valuable feedback that will shape the future development of the product. This engagement will ensure that the platform continues to evolve in alignment with user needs and expectations.

Description

MetricSign provides comprehensive oversight of your data ecosystem, identifying issues proactively before they impact your stakeholders. With a simple connection through Microsoft OAuth, you can link Power BI in just two minutes, after which MetricSign instantly begins monitoring for refresh errors, sluggish datasets, and scheduling lapses, detailing each incident with the precise error code and helpful root cause insights. In addition to Power BI, MetricSign extends its surveillance capabilities to Azure Data Factory, Databricks, dbt Cloud, dbt Core, and Microsoft Fabric. This means that when an ADF pipeline encounters a failure that leads to a Power BI refresh issue, you will receive a single incident report instead of multiple notifications from various platforms, streamlining your incident management process. Such integration ensures a more efficient response to data-related challenges. Key capabilities: - Refresh failure detection with 98+ error code classifications - End-to-end lineage: source → pipeline → dataset → report - Slow refresh and missed schedule detection - Alerts via email, Telegram, webhook - Free plan available — no credit card required

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Databricks
Amazon Redshift
Apache Airflow
Apache Spark
Azure Data Factory
Dagster
DataHub
Flyte
Flyte
Jupyter Notebook
Meltano
Microsoft Fabric
MySQL
PostgreSQL
Prefect
SQL Server
Secoda
Snowflake
ZenML
dbt

Integrations

Databricks
Amazon Redshift
Apache Airflow
Apache Spark
Azure Data Factory
Dagster
DataHub
Flyte
Flyte
Jupyter Notebook
Meltano
Microsoft Fabric
MySQL
PostgreSQL
Prefect
SQL Server
Secoda
Snowflake
ZenML
dbt

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

69€/3 workspaces
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Great Expectations

Website

greatexpectations.io

Vendor Details

Company Name

MetricSign

Founded

2026

Country

Netherlands

Website

www.metricsign.com

Product Features

Data Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Product Features

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Alternatives

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