Feast

Feast

Tecton
+
+

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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

Make your offline data available for real-time predictions without having to build custom pipelines. Ensure data consistency between offline training and online inference, eliminating train-serve skew. Standardize data engineering workflows under one consistent framework. Teams use Feast as the foundation of their internal ML platforms. Feast doesn’t require the deployment and management of dedicated infrastructure. Instead, it reuses existing infrastructure and spins up new resources when needed. You are not looking for a managed solution and are willing to manage and maintain your own implementation. You have engineers that are able to support the implementation and management of Feast. You want to run pipelines that transform raw data into features in a separate system and integrate with it. You have unique requirements and want to build on top of an open source solution.

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

Anyone looking for an open-source feature store which provides easy access to consistent features across model training and online inference

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

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

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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

Tecton
Founded: 2019
United States
feast.dev/

Alternatives

Alternatives

JFrog ML

JFrog ML

JFrog

Categories

Categories

Data Quality Features

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

Integrations

Amazon Redshift
Snowflake
Amazon Athena
Amazon DynamoDB
Amazon ElastiCache
Apache Airflow
Apache Kafka
Apache Spark
Azure Databricks
Delta Lake
MySQL
Oracle Database
Python
Ray
SQL
SQL Server
Slack
Trino
Visual Studio Code
dbt

Integrations

Amazon Redshift
Snowflake
Amazon Athena
Amazon DynamoDB
Amazon ElastiCache
Apache Airflow
Apache Kafka
Apache Spark
Azure Databricks
Delta Lake
MySQL
Oracle Database
Python
Ray
SQL
SQL Server
Slack
Trino
Visual Studio Code
dbt
Claim DQOps and update features and information
Claim DQOps and update features and information
Claim Feast and update features and information
Claim Feast and update features and information