+
+

Related Products

  • DataBuck
    6 Ratings
    Visit Website
  • SCIKIQ
    14 Ratings
    Visit Website
  • Code-Cube.io
    7 Ratings
    Visit Website
  • DataHub
    10 Ratings
    Visit Website
  • Parasoft
    152 Ratings
    Visit Website
  • Okyline
    2 Ratings
    Visit Website
  • Gearset
    305 Ratings
    Visit Website
  • Checksum.ai
    2 Ratings
    Visit Website
  • QA Wolf
    273 Ratings
    Visit Website
  • Virtuoso QA
    131 Ratings
    Visit Website

About

DataKitchen is a DataOps software platform that helps organizations automate data quality testing, monitor data pipelines, and manage analytics workflows. Its product suite includes DataOps Data Quality TestGen, DataOps Process Observability, and DataOps Automation. TestGen automatically profiles databases, generates data quality tests, identifies anomalies, and monitors data reliability across existing data environments. DataOps Process Observability provides end-to-end visibility into data pipelines, datasets, and workflows to detect failures, delays, and performance bottlenecks. DataOps Automation enables teams to orchestrate data pipelines, manage development environments, automate deployments, and integrate testing into production workflows. The platform supports integrations with Snowflake, Databricks, BigQuery, Airflow, dbt, and other data technologies, with open-source and enterprise deployment options.

About

SAS Studio provides a web browser-based programming environment, so writing and interacting with SAS code is easier and faster, wherever you are. It helps teams build efficient data pipelines with a data engineering experience designed for seamless collaboration, low-code work, and open source integration. SAS Studio connects to leading cloud data platforms such as AWS Redshift and S3, Google BigQuery and Cloud Storage, and Azure Data Lake Storage, as well as relational and nonrelational databases, including Oracle, Snowflake, Teradata, SingleStore, MongoDB, and other sources. It also works with file formats such as Excel, text, Parquet, and ORC. Users can choose no code, low code, or code by creating end-to-end data pipelines with drag-and-drop steps, developing Python and SAS code assets in SAS Studio or another IDE, and embedding them into SAS Studio flows for secure, centralized access to data sources and governed execution. SAS Studio supports ELT and ETL approaches.

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Not Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Data engineers, analytics engineers, data scientists, data architects, DataOps teams, database administrators, business intelligence professionals, IT operations teams, and enterprises seeking automated data quality testing, pipeline observability, data workflow orchestration, and reliable analytics infrastructure

Audience

Data engineering teams that need a governed, browser-based environment to build, collaborate on, and orchestrate SAS, Python, ETL, and ELT data pipelines

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

Support

Phone Support Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not Supported
Free Trial Not Supported

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 Not Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Supported
Live Online Supported
In Person Not Supported

Company Information

DataKitchen
Founded: 2013
United States
datakitchen.io

Company Information

SAS
Founded: 1976
United States
www.sas.com/en_us/software/studio.html

Alternatives

Alternatives

Dataform

Dataform

Google

Categories

Automated Testing Supported
Data Observability Supported
Data Pipeline Supported
Data Quality Supported
DataOps Supported

Categories

Data Integration Supported
Data Pipeline Supported

Integrations

Google Cloud BigQuery Supported
Snowflake Supported
Amazon EMR Not Supported
Amazon Redshift Not Supported
Apache Hive Not Supported
Apache Parquet Not Supported
Azure Data Lake Not Supported
Azure Synapse Analytics Not Supported
Cloudera Data Platform Not Supported
GitHub Supported
Google Cloud Storage Not Supported
IBM Db2 Not Supported
Jira Supported
MongoDB Not Supported
MongoDB Atlas Not Supported
Oracle Database Not Supported
Python Not Supported
SQL Server Supported
Slack Supported
Teradata VantageCloud Not Supported

Integrations

Google Cloud BigQuery Supported
Snowflake Supported
Amazon EMR Supported
Amazon Redshift Supported
Apache Hive Supported
Apache Parquet Supported
Azure Data Lake Supported
Azure Synapse Analytics Supported
Cloudera Data Platform Supported
GitHub Not Supported
Google Cloud Storage Supported
IBM Db2 Supported
Jira Not Supported
MongoDB Supported
MongoDB Atlas Supported
Oracle Database Supported
Python Supported
SQL Server Not Supported
Slack Not Supported
Teradata VantageCloud Supported
Claim DataKitchen DataOps Automation and update features and information
Claim DataKitchen DataOps Automation and update features and information
Claim SAS Studio and update features and information
Claim SAS Studio and update features and information