+
+

Related Products

  • DataBuck
    6 Ratings
    Visit Website
  • Google Cloud BigQuery
    1,734 Ratings
    Visit Website
  • AnalyticsCreator
    46 Ratings
    Visit Website
  • QVscribe
    1 Rating
    Visit Website
  • D&B Connect
    170 Ratings
    Visit Website
  • Web APIs by Melissa
    74 Ratings
    Visit Website
  • Semarchy xDM
    63 Ratings
    Visit Website
  • Satori
    86 Ratings
    Visit Website
  • Ango Hub
    15 Ratings
    Visit Website
  • imgproxy
    14 Ratings
    Visit Website

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

DatErica: Revolutionizing Data Processing DatErica is a cutting-edge data processing platform designed to automate and streamline data operations. Leveraging a robust technology stack including Node.js and microservice architecture, it provides scalable and flexible solutions for complex data needs. The platform offers advanced ETL capabilities, seamless data integration from various sources, and secure data warehousing. DatErica's AI-powered tools enable sophisticated data transformation and validation, ensuring accuracy and consistency. With real-time analytics, customizable dashboards, and automated reporting, users gain valuable insights for informed decision-making. The user-friendly interface simplifies workflow management, while real-time monitoring and alerts enhance operational efficiency. DatErica is ideal for data engineers, analysts, IT teams, and businesses seeking to optimize their data processes and drive growth.

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

Data Engineers and Developers, Data Analysts and Scientists, IT and Operations Teams, Enterprise Companies

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

9
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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

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

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DQOps
Founded: 2021
Poland
dqops.com

Company Information

DatErica
Founded: 2022
Czech Republic
daterica.com

Alternatives

Alternatives

Composable DataOps Platform

Composable DataOps Platform

Composable Analytics

Categories

Categories

Data Quality Features

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

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

ETL Features

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integrations

Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Apache Airflow
Apache Spark
Azure Databricks
Google Cloud BigQuery
Google Cloud Platform
Looker
Microsoft Azure
MySQL
Oracle Database
PostgreSQL
Presto
SQL Server
Slack
Snowflake
Trino
Visual Studio Code
dbt

Integrations

Amazon Athena
Amazon Redshift
Amazon Web Services (AWS)
Apache Airflow
Apache Spark
Azure Databricks
Google Cloud BigQuery
Google Cloud Platform
Looker
Microsoft Azure
MySQL
Oracle Database
PostgreSQL
Presto
SQL Server
Slack
Snowflake
Trino
Visual Studio Code
dbt
Claim DQOps and update features and information
Claim DQOps and update features and information
Claim DatErica and update features and information
Claim DatErica and update features and information