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Average Ratings 0 Ratings

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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.

Description

Upsolver makes it easy to create a governed data lake, manage, integrate, and prepare streaming data for analysis. Only use auto-generated schema on-read SQL to create pipelines. A visual IDE that makes it easy to build pipelines. Add Upserts to data lake tables. Mix streaming and large-scale batch data. Automated schema evolution and reprocessing of previous state. Automated orchestration of pipelines (no Dags). Fully-managed execution at scale Strong consistency guarantee over object storage Nearly zero maintenance overhead for analytics-ready information. Integral hygiene for data lake tables, including columnar formats, partitioning and compaction, as well as vacuuming. Low cost, 100,000 events per second (billions every day) Continuous lock-free compaction to eliminate the "small file" problem. Parquet-based tables are ideal for quick queries.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

AWS IoT SiteWise No 
Amazon S3 Yes 
Azure Blob Storage Yes 
Box Yes 
Eco No 
Google Cloud BigQuery Yes 
Google Cloud Spanner Yes 
Google Cloud Storage Yes 
Google Drive Yes 
Hive No 
Micromerce No 
Microsoft Fabric Yes 
Microsoft OneDrive Yes 
Microsoft Outlook Yes 
PuppyGraph No 
QuickBooks Online Yes 
Zoho CRM Yes 

Integrations

AWS IoT SiteWise Yes 
Amazon S3 No 
Azure Blob Storage No 
Box No 
Eco Yes 
Google Cloud BigQuery No 
Google Cloud Spanner No 
Google Cloud Storage No 
Google Drive No 
Hive Yes 
Micromerce Yes 
Microsoft Fabric No 
Microsoft OneDrive No 
Microsoft Outlook No 
PuppyGraph Yes 
QuickBooks Online No 
Zoho CRM No 

Pricing Details

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

Pricing Details

No price information available.
Free Trial Yes 
Free Version Yes 

Deployment

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

Customer Support

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

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
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 No 

Vendor Details

Company Name

Kanerika

Founded

2015

Country

United States

Website

kanerika.com

Vendor Details

Company Name

Upsolver

Founded

2014

Country

Israel

Website

www.upsolver.com

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 

Product Features

Big Data

Collaboration No 
Data Blends Yes 
Data Cleansing Yes 
Data Mining Yes 
Data Visualization No 
Data Warehousing No 
High Volume Processing Yes 
No-Code Sandbox Yes 
Predictive Analytics No 
Templates No 

Data Mining

Data Extraction No 
Data Visualization No 
Fraud Detection No 
Linked Data Management No 
Machine Learning No 
Predictive Modeling No 
Semantic Search No 
Statistical Analysis No 
Text Mining No 

Data Preparation

Collaboration Tools No 
Data Access No 
Data Blending No 
Data Cleansing No 
Data Governance No 
Data Mashup No 
Data Modeling No 
Data Transformation No 
Machine Learning No 
Visual User Interface No 

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