Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

DQOps is a data quality monitoring platform for data teams that helps detect and address quality issues before they impact your business. Track data quality KPIs on data quality dashboards and reach a 100% data quality score. DQOps helps monitor data warehouses and data lakes on the most popular data platforms. DQOps offers a built-in list of predefined data quality checks verifying key data quality dimensions. The extensibility of the platform allows you to modify existing checks or add custom, business-specific checks as needed. The DQOps platform easily integrates with DevOps environments and allows data quality definitions to be stored in a source repository along with the data pipeline code.

Description

Enable your offline data to support real-time predictions seamlessly without the need for custom pipelines. Maintain data consistency between offline training and online inference to avoid discrepancies in results. Streamline data engineering processes within a unified framework for better efficiency. Teams can leverage Feast as the cornerstone of their internal machine learning platforms. Feast eliminates the necessity for dedicated infrastructure management, instead opting to utilize existing resources while provisioning new ones when necessary. If you prefer not to use a managed solution, you are prepared to handle your own Feast implementation and maintenance. Your engineering team is equipped to support both the deployment and management of Feast effectively. You aim to create pipelines that convert raw data into features within a different system and seek to integrate with that system. With specific needs in mind, you want to expand functionalities based on an open-source foundation. Additionally, this approach not only enhances your data processing capabilities but also allows for greater flexibility and customization tailored to your unique business requirements.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Redshift
Snowflake
Amazon DynamoDB
Amazon EMR
Amazon S3
Apache Airflow
Azure Databricks
DataHub
Databricks Data Intelligence Platform
Delta Lake
Flyte
Google Cloud Platform
Oracle Database
Presto
PySpark
Redis
SQL Server
SingleStore
Slack
ZenML

Integrations

Amazon Redshift
Snowflake
Amazon DynamoDB
Amazon EMR
Amazon S3
Apache Airflow
Azure Databricks
DataHub
Databricks Data Intelligence Platform
Delta Lake
Flyte
Google Cloud Platform
Oracle Database
Presto
PySpark
Redis
SQL Server
SingleStore
Slack
ZenML

Pricing Details

$499 per month
Free Trial
Free Version

Pricing Details

No price information available.
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

DQOps

Founded

2021

Country

Poland

Website

dqops.com

Vendor Details

Company Name

Tecton

Founded

2019

Country

United States

Website

feast.dev/

Product Features

Data Quality

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

Product Features

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Alternatives

Alternatives

JFrog ML Reviews

JFrog ML

JFrog