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Description

Gather all your unstructured data to meet your LLM requirements effectively. Datavolo transforms single-use, point-to-point coding into rapid, adaptable, reusable pipelines, allowing you to concentrate on what truly matters—producing exceptional results. As a dataflow infrastructure, Datavolo provides you with a significant competitive advantage. Enjoy swift, unrestricted access to all your data, including the unstructured files essential for LLMs, thereby enhancing your generative AI capabilities. Experience pipelines that expand alongside you, set up in minutes instead of days, without the need for custom coding. You can easily configure sources and destinations at any time, while trust in your data is ensured, as lineage is incorporated into each pipeline. Move beyond single-use pipelines and costly configurations. Leverage your unstructured data to drive AI innovation with Datavolo, which is supported by Apache NiFi and specifically designed for handling unstructured data. With a lifetime of experience, our founders are dedicated to helping organizations maximize their data's potential. This commitment not only empowers businesses but also fosters a culture of data-driven decision-making.

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 No 

API Access

Has API No 

Screenshots View All

Screenshots View All

No images available

Integrations

Amazon S3 No 
Apache NiFi Yes 
Azure Blob Storage No 
Box No 
Databricks Yes 
Google Cloud BigQuery No 
Google Cloud Spanner No 
Google Cloud Storage No 
Google Drive No 
Microsoft Fabric No 
Microsoft OneDrive No 
Microsoft Outlook No 
Pinecone Yes 
Pinecone Rerank v0 Yes 
QuickBooks Online No 
Snowflake Yes 
Vectara Yes 
Zoho CRM No 

Integrations

Amazon S3 Yes 
Apache NiFi No 
Azure Blob Storage Yes 
Box Yes 
Databricks No 
Google Cloud BigQuery Yes 
Google Cloud Spanner Yes 
Google Cloud Storage Yes 
Google Drive Yes 
Microsoft Fabric Yes 
Microsoft OneDrive Yes 
Microsoft Outlook Yes 
Pinecone No 
Pinecone Rerank v0 No 
QuickBooks Online Yes 
Snowflake No 
Vectara No 
Zoho CRM Yes 

Pricing Details

$36,000 per year
Free Trial No 
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 No 
Live Training (Online) No 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Datavolo

Founded

2023

Country

United States

Website

datavolo.io

Vendor Details

Company Name

Kanerika

Founded

2015

Country

United States

Website

kanerika.com

Product Features

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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