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Description

Create a scalable architecture that treats data products as first-class citizens. Automate and repurpose data products. Enable compliance and robust data governance. Control the costs of your data products and pipelines for Snowflake. This global pharmaceutical giant's data product teams can benefit from next-generation analytics using self-service data and analytics infrastructure that includes Snowflake and other tools that use a data mesh approach. The DataOps.live platform allows them to organize and benefit from next generation analytics. DataOps is a unique way for development teams to work together around data in order to achieve rapid results and improve customer service. Data warehousing has never been paired with agility. DataOps is able to change all of this. Governance of data assets is crucial, but it can be a barrier to agility. Dataops enables agility and increases governance. DataOps does not refer to technology; it is a way of thinking.

Description

Kanerika's AI Data Operations Platform, Flip, simplifies data transformation through its low-code/no code approach. Flip is designed to help organizations create data pipelines in a seamless manner. It offers flexible deployment options, an intuitive interface, and a cost effective pay-per-use model. Flip empowers businesses to modernize IT strategies by accelerating data processing and automating, unlocking actionable insight faster. Flip makes your data work harder for you, whether you want to streamline workflows, improve decision-making or stay competitive in today's dynamic environment.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Alation Yes 
Amazon S3 No 
Amazon Web Services (AWS) Yes 
Chartio Yes 
DQLabs Yes 
Dataguise Yes 
Fivetran Yes 
Google Cloud Storage No 
Immuta Yes 
Microsoft Azure Yes 
Microsoft Fabric No 
Monte Carlo Yes 
Okera Yes 
Python Yes 
Qlik Application Automation Yes 
QuickBooks Online No 
Snowflake Yes 
Soda Yes 
Zoho CRM No 
data.world Yes 

Integrations

Alation No 
Amazon S3 Yes 
Amazon Web Services (AWS) No 
Chartio No 
DQLabs No 
Dataguise No 
Fivetran No 
Google Cloud Storage Yes 
Immuta No 
Microsoft Azure No 
Microsoft Fabric Yes 
Monte Carlo No 
Okera No 
Python No 
Qlik Application Automation No 
QuickBooks Online Yes 
Snowflake No 
Soda No 
Zoho CRM Yes 
data.world No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$1614/month
$1614 to 2709 per month
Free Trial Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

DataOps.live

Founded

2020

Country

London, UK

Website

www.dataops.live/

Vendor Details

Company Name

Kanerika

Founded

2015

Country

United States

Website

kanerika.com

Product Features

Data Governance

Access Control No 
Data Discovery No 
Data Mapping No 
Data Profiling No 
Deletion Management No 
Email Management No 
Policy Management No 
Process Management No 
Roles Management No 
Storage Management No 

Data Quality

Address Validation No 
Data Deduplication No 
Data Discovery No 
Data Profililng No 
Master Data Management No 
Match & Merge No 
Metadata Management No 

Master Data Management

Data Governance No 
Data Masking No 
Data Source Integrations No 
Hierarchy Management No 
Match & Merge No 
Metadata Management No 
Multi-Domain No 
Process Management No 
Relationship Mapping No 
Visualization No 

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration No 
Data Quality Control No 
Data Security No 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Alternatives

Alternatives

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