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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

Kili Technology is one unique tool to label, find and fix issues, simplify DataOps, and dramatically accelerate the build of reliable AI. At Kili Technology, we believe the foundation of better AI is excellent data. Kili Technology's complete training data platform empowers all businesses to transform unstructured data into high quality data to train their AI and deliver successful AI projects. By using Kili Technology to build training datasets, teams will improve their productivity, accelerate go-to-production cycles of their AI projects and deliver quality AI.

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

Companies that need a data labeling and annotation solution

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 Supported
Free Trial 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:

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Reviews/Ratings

Overall 4.7 / 5
ease 4.8 / 5
features 4.5 / 5
design 4.4 / 5
support 4.6 / 5

Pros & Cons from Real Users

Pros

  • Kili Technology could handle our main use cases even if they involved different data types, so pretty useful. The analytics dashboard is also very very complete so we could properly monitor the work of our annotators.
  • I easily integrated the ML stack. was easy to orchestrate the training data pipeline + easy to collaborate with the team!
  • Ontology and annotation interface super complete. It was very hard to find a tool to annotate the really long PDFs I wanted to label but I could perfectly do that with Kili. I discovered Kili with their Ocean challenge and I decided to keep using it.
  • Good tool to work with a large team. We are >10 people in the team and even more labeler and we could all collaborate pretty well. They have really cool features to org the work and review.
  • Support is reactive when you need them and quite qualified! They helped me overcome and issue that I had in less then 20 minutes, even for our OnPremise version! Thanks :)

Cons

  • Zoom level on the labeling interface is set to 100% which is not convenient if you label small resolution pictures.
  • Would like to have more filtering options.
  • It is not possible to make a dataset public.
  • One thing that would really help would be to have multiple workspaces. The tool would be even more collaborative.
  • Only the Python SDK is open source.

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 Supported

Company Information

DataKitchen
Founded: 2013
United States
datakitchen.io

Company Information

Kili Technology
Founded: 2018
New York / Paris
kili-technology.com

Alternatives

Alternatives

Categories

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

Categories

AI Fine-Tuning Supported
Data Annotation Supported
Data Labeling Supported

Data Labeling Features

Human-in-the-loop Supported
Labeling Automation Supported
Labeling Quality Supported
Performance Tracking Supported
Polygon, Rectangle, Line, Point Supported
SDK Supported
Supports Audio Files Not Supported
Task Management Supported
Team Collaboration Supported
Training Data Management Supported

Integrations

Docker Supported
Git Supported
GitHub Supported
Google Cloud BigQuery Supported
Jenkins Supported
Jira Supported
Kubernetes Supported
People For AI Not Supported
PostgreSQL Supported
SQL Server Supported
Slack Supported
Snowflake Supported

Integrations

Docker Not Supported
Git Not Supported
GitHub Not Supported
Google Cloud BigQuery Not Supported
Jenkins Not Supported
Jira Not Supported
Kubernetes Not Supported
People For AI Supported
PostgreSQL Not Supported
SQL Server Not Supported
Slack Not Supported
Snowflake Not Supported
Claim DataKitchen DataOps Automation and update features and information
Claim DataKitchen DataOps Automation and update features and information
Claim Kili Technology and update features and information
Claim Kili Technology and update features and information