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About

At K2View, we believe that every enterprise should be able to leverage its data to become as disruptive and agile as the best companies in its industry. We make this possible through our patented Data Product Platform, which creates and manages a complete and compliant dataset for every business entity – on demand, and in real time. The dataset is always in sync with its underlying sources, adapts to changes in the source structures, and is instantly accessible to any authorized data consumer. Data Product Platform fuels many operational use cases, including customer 360, data masking and tokenization, test data management, data migration, legacy application modernization, data pipelining and more – to deliver business outcomes in less than half the time, and at half the cost, of any other alternative. The platform inherently supports modern data architectures – data mesh, data fabric, and data hub – and deploys in cloud, on-premise, or hybrid environments.

About

Zoho DataPrep is an AI-powered ETL platform designed to move, prepare, and clean data for seamless data workflows - without writing code, managing multiple tools, or hiring a data engineering team. Most organizations juggle separate tools for data ingestion, cleaning, and delivery. DataPrep consolidates the entire data lifecycle into one platform: extract from 90+ sources, transform with 250+ no-code tools or Python Code Studio, and deliver to 30+ destinations, including data warehouses and business applications. What makes DataPrep different: Ask Zia, the AI copilot powered by Zoho LLM, builds complete pipelines from natural language. Reverse ETL pushes enriched data back to CRMs and marketing tools automatically. Databridge connects on-prem databases behind firewalls for hybrid environments. MCP server support enables AI agents to control pipelines from tools like Claude and Cursor. SO 27001, SOC2, HIPAA, and GDPR compliant with built-in PII detection and data masking.

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

Data engineers, data architects, data scientists, data testers, CIOs and business leaders

Audience

Enterprises looking for a solution to move, connect, explore, transform, and enrich data for their analytics and data warehousing processes

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

No information available.
Free Version
Free Trial

Pricing

$40 per month
Standard - $40 /user/month for yearly plans
Standard - $50 /user/month for monthly plans
Free Version
Free Trial

Reviews/Ratings

Overall 3.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
support 4.0 / 5

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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Pros & Cons from Real Users

Pros

  • 1.Great integration fast 1-2 months instead of a year . 2.good performance due to clustering(cassandra) 3.In memory data management 4. Standard SQL to query data 5.Good scalability 6.New and efficient ETL solution

Cons

  • 1.solution cost at least 1M $! 2.k2view uses it's own deployment team.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

K2View
Founded: 2009
United States
k2view.com

Company Information

Zoho
Founded: 1996
India
www.zoho.com/dataprep/

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Categories

Categories

Data Fabric Features

Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management

Data Management Features

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

Integration Features

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

Data Preparation Features

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

Integrations

Actian Analytics Engine
Amazon Aurora
Amazon Redshift
Amazon S3
Box
Denodo
Dropbox
Exasol
Google Drive
Heroku
IBM Cloud
IBM Db2
MariaDB
Microsoft OneDrive
Model Context Protocol (MCP)
MySQL
Oracle Cloud Infrastructure
Panoply
Zoho Analytics
Zoho Directory

Integrations

Actian Analytics Engine
Amazon Aurora
Amazon Redshift
Amazon S3
Box
Denodo
Dropbox
Exasol
Google Drive
Heroku
IBM Cloud
IBM Db2
MariaDB
Microsoft OneDrive
Model Context Protocol (MCP)
MySQL
Oracle Cloud Infrastructure
Panoply
Zoho Analytics
Zoho Directory
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