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What is Saras Daton?

Saras Daton is an advanced ETL/ELT solution crafted specifically for omnichannel and ecommerce businesses, enabling teams to unify data from disparate sources into centralized cloud data repositories. Featuring over 200 pre-configured connectors, including some designed for niche ecommerce platforms, it supports custom transformations to meet the complex needs surrounding order histories, inventory management, marketing analytics, and additional commerce-related requirements. The platform adeptly handles incremental data extraction, schema mapping, historical data loads, and regular incremental updates, offering both batch processing and real-time capabilities. Through its use of parallel processing, it accommodates large data volumes, while checkpoints and retries bolster the dependability of data pipelines. Users benefit from table-level scheduling for multi-speed pipelines, and CRON scheduling allows them to customize replication frequencies, with certain sources achieving as little as 15-minute intervals. Moreover, its detailed loading and schema management features empower users to control data at both the table and column levels, employing strategies like append, upsert, or truncate-and-load to refine their data ingestion workflows. This all-encompassing strategy ensures that ecommerce enterprises can efficiently meet their data management needs while adapting to the ever-evolving landscape of commerce. By leveraging such capabilities, businesses can stay competitive and responsive in their data-driven decision-making processes.

What is Microsoft Power Query?

Power Query offers an intuitive approach for connecting to, extracting, transforming, and loading data from various origins. Functioning as a powerful engine for data manipulation, it boasts a graphical interface that makes the data retrieval process straightforward, alongside a Power Query Editor for applying any necessary modifications. Its adaptability allows for integration across a wide array of products and services, with the data storage location being dictated by the particular application of Power Query. This tool streamlines the extract, transform, and load (ETL) processes, catering to users' diverse data requirements. With Microsoft's Data Connectivity and Data Preparation technology, accessing and managing data from hundreds of sources is made simple in a user-friendly, no-code framework. Power Query supports a wide range of data sources through built-in connectors, generic interfaces such as REST APIs, ODBC, OLE, DB, and OData, and it even provides a Power Query SDK for developing custom connectors to meet specific needs. This level of flexibility enhances Power Query's value, making it an essential resource for data professionals aiming to optimize their workflows and improve efficiency. As such, it empowers users to focus on deriving insights from their data rather than getting bogged down by the complexities of data handling.

Media

Media

Integrations Supported

Amazon Redshift
Google Analytics
Mixpanel
MySQL
Snowflake
Zendesk
Azure Cosmos DB
FactSet
GitHub
Instagram
MariaDB
Microsoft Dynamics 365 Business Central
Microsoft Excel
Northbeam
SAP HANA
Smartsheet
Strategy ONE
SurveyMonkey
Webtrends
Zoho Creator

Integrations Supported

Amazon Redshift
Google Analytics
Mixpanel
MySQL
Snowflake
Zendesk
Azure Cosmos DB
FactSet
GitHub
Instagram
MariaDB
Microsoft Dynamics 365 Business Central
Microsoft Excel
Northbeam
SAP HANA
Smartsheet
Strategy ONE
SurveyMonkey
Webtrends
Zoho Creator

API Availability

Has API

API Availability

Has API

Pricing Information

$1,999 per month
Free Version
Free Trial Offered?

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Saras Analytics

Date Founded

2016

Company Location

United States

Company Website

www.sarasanalytics.com/saras-daton

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

powerquery.microsoft.com/en-us/

Categories and Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Categories and Features

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

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No Alternatives

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