FLIP 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.

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In a developer-friendly visual editor, you can design, debug, run, and troubleshoot data jobflows and data transformations. You can orchestrate data tasks that require a specific sequence and organize multiple systems using the transparency of visual workflows. Easy deployment of data workloads into an enterprise runtime environment. Cloud or on-premise. Data can be made available to applications, people, and storage through a single platform. You can manage all your data workloads and related processes from one platform. No task is too difficult. CloverDX was built on years of experience in large enterprise projects. Open architecture that is user-friendly and flexible allows you to package and hide complexity for developers. You can manage the entire lifecycle for a data pipeline, from design, deployment, evolution, and testing. Our in-house customer success teams will help you get things done quickly.
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Pricing

Pricing Starts At:
$1614/month
Pricing Information:
$1614 to 2709 per month
Free Version:
Yes
Free Trial:
Yes

Integrations

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Reviews - 1 Verified Review

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Company Details

Company:
Kanerika
Year Founded:
2015
Headquarters:
United States
Website:
kanerika.com
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Product Details

Platforms
Web-Based
Windows
Mac
Linux
Chromebook
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Training Videos
Customer Support
Business Hours
Live Rep (24/7)
Online Support

FLIP Features and Options

Data Visualization Software

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

Data Management Software

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

FLIP Lists

FLIP User Reviews

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  • Name: Anonymous (Verified)
    Job Title: Marketing Manager
    Length of product use: Free Trial
    Used How Often?: Weekly
    Role: User
    Organization Size: 1,000 - 4,999
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    A Game-Changer for Data Operations

    Edited: Feb 05 2025

    Summary: Flip is a robust AI-powered data operations platform that bridges the gap between IT and business teams. Its low-code/no-code approach, affordability, and speed make it a valuable asset for organizations looking to modernize their data strategies. While there are minor limitations for advanced users, its ease of use and efficiency outweigh the drawbacks, making it a must-have tool for data-driven businesses.

    Positive: Low-Code/No-Code Simplicity – Flip makes data transformation effortless with its intuitive drag-and-drop interface, reducing dependency on developers.
    Flexible Deployment – Whether cloud, on-premises, or hybrid, Flip adapts to various IT environments, ensuring seamless integration.
    Cost-Effective – The pay-per-use pricing model eliminates hefty upfront costs, making it a budget-friendly solution.
    Accelerates Data Processing – Automates data workflows efficiently, helping businesses derive actionable insights faster.
    User-Friendly Interface – Even non-technical users can navigate and manage data pipelines with ease.

    Negative: Limited Customization for Advanced Users – While great for non-tech users, advanced data engineers may find customization options somewhat restrictive.
    Integration Challenges for Legacy Systems – Some older enterprise systems may require additional configuration or custom connectors.
    Learning Curve for Complex Pipelines – While no-code tools simplify tasks, building highly sophisticated pipelines might require some training.

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