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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

Key Features of Syncari ADM: Continuous Unification & Data Quality Programmable MDM with Extensibility Patented Multi-directional Sync Integrated Data Fabric Architecture Dynamic Data Model & 360° Dataset Readiness Enhanced Automation with AI/ML Datasets, Metadata as Data, Virtual Entities Syncari’s cohesive platform syncs, unifies, governs, enhances, and provides access to data across your enterprise, delivering continuous unification, data quality, and distribution—all within a scalable, robust architecture.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Azure SQL Database Yes 
Google Cloud BigQuery Yes 
PostgreSQL Yes 
Snowflake Yes 
AWS Glue Yes 
Amazon Kinesis No 
Amazon Redshift No 
Cloudera Yes 
Freshsales No 
Google Cloud Platform Yes 
HubSpot CRM No 
Microsoft Azure Yes 
Microsoft Dynamics 365 No 
NetSuite No 
SAP Business ByDesign No 
SQL Server Yes 
Salesforce Marketing Cloud Account Engagement No 
Teradata VantageCloud Yes 
Zuora No 

Integrations

Amazon S3 Yes 
Azure SQL Database Yes 
Google Cloud BigQuery Yes 
PostgreSQL Yes 
Snowflake Yes 
AWS Glue No 
Amazon Kinesis Yes 
Amazon Redshift Yes 
Cloudera No 
Freshsales Yes 
Google Cloud Platform No 
HubSpot CRM Yes 
Microsoft Azure No 
Microsoft Dynamics 365 Yes 
NetSuite Yes 
SAP Business ByDesign Yes 
SQL Server No 
Salesforce Marketing Cloud Account Engagement Yes 
Teradata VantageCloud No 
Zuora Yes 

Pricing Details

Consumption-based and annual fixed licensing fee are both available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

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 No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
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

FirstEigen

Founded

2015

Country

United States

Website

firsteigen.com/databuck/

Vendor Details

Company Name

Syncari

Founded

2019

Country

United States

Website

syncari.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 Yes 
Data Analysis Yes 
Data Capture No 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
Data Security No 
Information Governance Yes 
Master Data Management Yes 
Match & Merge Yes 

Data Quality

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

Alternatives

Alternatives

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