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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

1Data is an innovative and adaptable data management platform that empowers organizations to seamlessly integrate, analyze, and leverage their data using low-code or no-code solutions. By facilitating the elimination of data silos, it allows for the ingestion of data from various sources through an array of connectors, including databases, APIs, files, and messages. Additionally, users can set up business rules and workflows to automate their data analysis processes and instigate various actions. The platform consists of essential components such as connectors, business rules, workflows, a data dictionary, exception management features, and metrics tracking. With 1Data, users can create both simple and intricate data flows that correspond to specific objectives, while also keeping an eye on the data available and its utilization via the comprehensive data dictionary. Moreover, it offers tools for monitoring, managing, and resolving any data exceptions that may arise. Furthermore, 1Data is versatile enough to accommodate a wide range of applications, including ETL processes, data pipelines, the development of data lakes and warehouses, data standardization, reconciliation and cleansing, as well as efficient data distribution. This comprehensive functionality makes 1Data an invaluable resource for businesses looking to enhance their data management capabilities.

Description

AWS Lake Formation is a service designed to streamline the creation of a secure data lake in just a matter of days. A data lake serves as a centralized, carefully organized, and protected repository that accommodates all data, maintaining both its raw and processed formats for analytical purposes. By utilizing a data lake, organizations can eliminate data silos and integrate various analytical approaches, leading to deeper insights and more informed business choices. However, the traditional process of establishing and maintaining data lakes is often burdened with labor-intensive, complex, and time-consuming tasks. This includes activities such as importing data from various sources, overseeing data flows, configuring partitions, enabling encryption and managing encryption keys, defining and monitoring transformation jobs, reorganizing data into a columnar structure, removing duplicate records, and linking related entries. After data is successfully loaded into the data lake, it is essential to implement precise access controls for datasets and continuously monitor access across a broad spectrum of analytics and machine learning tools and services. The comprehensive management of these tasks can significantly enhance the overall efficiency and security of data handling within an organization.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh No 
Amazon Athena No 
Amazon DataZone No 
Amazon EMR No 
Amazon Redshift No 
Amazon S3 No 
Amazon SageMaker Feature Store No 
Amazon Web Services (AWS) Yes 
BridgeGate Yes 
Collate No 
Ericsson NetCloud Service Yes 
Exterro Yes 
Flex83 Yes 
GitLab Yes 
Microsoft Azure Yes 
ServiceNow Yes 
Test Data Manager Yes 
Velotix No 

Integrations

AWS App Mesh Yes 
Amazon Athena Yes 
Amazon DataZone Yes 
Amazon EMR Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Amazon SageMaker Feature Store Yes 
Amazon Web Services (AWS) No 
BridgeGate No 
Collate Yes 
Ericsson NetCloud Service No 
Exterro No 
Flex83 No 
GitLab No 
Microsoft Azure No 
ServiceNow No 
Test Data Manager No 
Velotix Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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 No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

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

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Sincera

Founded

2003

Country

United States

Website

sincera.com/1data/

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/lake-formation/

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 

Product Features

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