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Average Ratings 6 Ratings

Average Ratings 1 Rating

Total
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Description

Big Data Quality must always be verified to ensure that data is safe, accurate, and complete. Data is moved through multiple IT platforms or stored in Data Lakes. The Big Data Challenge: Data often loses its trustworthiness because of (i) Undiscovered errors in incoming data (iii). Multiple data sources that get out-of-synchrony over time (iii). Structural changes to data in downstream processes not expected downstream and (iv) multiple IT platforms (Hadoop DW, Cloud). Unexpected errors can occur when data moves between systems, such as from a Data Warehouse to a Hadoop environment, NoSQL database, or the Cloud. Data can change unexpectedly due to poor processes, ad-hoc data policies, poor data storage and control, and lack of control over certain data sources (e.g., external providers). DataBuck is an autonomous, self-learning, Big Data Quality validation tool and Data Matching tool.

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

Amazon S3 Yes 
Google Cloud BigQuery Yes 
AWS Glue Yes 
Amazon Web Services (AWS) Yes 
Apache Airflow Yes 
Azure Blob Storage No 
Azure Cosmos DB Yes 
Azure SQL Database Yes 
Box No 
Databricks Yes 
Google Cloud Dataflow Yes 
Google Cloud Spanner No 
Google Drive No 
Microsoft Azure Yes 
Microsoft Fabric No 
Microsoft OneDrive No 
Microsoft Outlook No 
PostgreSQL Yes 
QuickBooks Online No 
Snowflake Yes 

Integrations

Amazon S3 Yes 
Google Cloud BigQuery Yes 
AWS Glue No 
Amazon Web Services (AWS) No 
Apache Airflow No 
Azure Blob Storage Yes 
Azure Cosmos DB No 
Azure SQL Database No 
Box Yes 
Databricks No 
Google Cloud Dataflow No 
Google Cloud Spanner Yes 
Google Drive Yes 
Microsoft Azure No 
Microsoft Fabric Yes 
Microsoft OneDrive Yes 
Microsoft Outlook Yes 
PostgreSQL No 
QuickBooks Online Yes 
Snowflake No 

Pricing Details

Consumption-based and annual fixed licensing fee are both available.
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 Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux Yes 
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) No 
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

FirstEigen

Founded

2015

Country

United States

Website

firsteigen.com/databuck/

Vendor Details

Company Name

Kanerika

Founded

2015

Country

United States

Website

kanerika.com

Product Features

Big Data

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

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 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 Quality

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