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About

DQOps is an open-source data quality platform designed for data quality and data engineering teams that makes data quality visible to business sponsors. The platform provides an efficient user interface to quickly add data sources, configure data quality checks, and manage issues. DQOps comes with over 150 built-in data quality checks, but you can also design custom checks to detect any business-relevant data quality issues. The platform supports incremental data quality monitoring to support analyzing data quality of very big tables. Track data quality KPI scores using our built-in or custom dashboards to show progress in improving data quality to business sponsors. DQOps is DevOps-friendly, allowing you to define data quality definitions in YAML files stored in Git, run data quality checks directly from your data pipelines, or automate any action with a Python Client. DQOps works locally or as a SaaS platform.

About

Automatically cover thousands of tables with ML-based anomaly detection and 50+ custom metrics. Comprehensive data and metadata monitoring. Exhaustive mapping of all dependencies between assets, from ingestion to BI. Enhanced productivity and collaboration between data engineers and data consumers. Sifflet seamlessly integrates into your data sources and preferred tools and can run on AWS, Google Cloud Platform, and Microsoft Azure. Keep an eye on the health of your data and alert the team when quality criteria aren’t met. Set up in a few clicks the fundamental coverage of all your tables. Configure the frequency of runs, their criticality, and even customized notifications at the same time. Leverage ML-based rules to detect any anomaly in your data. No need for an initial configuration. A unique model for each rule learns from historical data and from user feedback. Complement the automated rules with a library of 50+ templates that can be applied to any asset.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies looking for a data observability tool that handles data analysis

Audience

Teams and companies requiring a solution to monitor their data assets, metadata, and infrastructure

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$499 per month
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5
features 4.0 / 5
design 5.0 / 5
support 4.0 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DQOps
Founded: 2021
Poland
dqops.com

Company Information

Sifflet
United States
www.siffletdata.com

Alternatives

Alternatives

Categories

Categories

Data Quality Features

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

Integrations

Amazon Athena
Amazon Redshift
Apache Airflow
Apache Spark
Azure Databricks
Google Cloud BigQuery
Google Cloud Platform
Looker
Microsoft Azure
MySQL
PostgreSQL
Presto
SQL Server
Slack
Snowflake
dbt
Datadog
Fivetran
Prefect
Trino

Integrations

Amazon Athena
Amazon Redshift
Apache Airflow
Apache Spark
Azure Databricks
Google Cloud BigQuery
Google Cloud Platform
Looker
Microsoft Azure
MySQL
PostgreSQL
Presto
SQL Server
Slack
Snowflake
dbt
Datadog
Fivetran
Prefect
Trino
Claim DQOps and update features and information
Claim DQOps and update features and information
Claim Sifflet and update features and information
Claim Sifflet and update features and information