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features
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support

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Description

AWS Data Pipeline is a robust web service designed to facilitate the reliable processing and movement of data across various AWS compute and storage services, as well as from on-premises data sources, according to defined schedules. This service enables you to consistently access data in its storage location, perform large-scale transformations and processing, and seamlessly transfer the outcomes to AWS services like Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. With AWS Data Pipeline, you can effortlessly construct intricate data processing workflows that are resilient, repeatable, and highly available. You can rest assured knowing that you do not need to manage resource availability, address inter-task dependencies, handle transient failures or timeouts during individual tasks, or set up a failure notification system. Additionally, AWS Data Pipeline provides the capability to access and process data that was previously confined within on-premises data silos, expanding your data processing possibilities significantly. This service ultimately streamlines the data management process and enhances operational efficiency across your organization.

Description

Many synchronization tools only address the initial stage of data arrival, but the true difficulty lies in ensuring that this data can be trusted. Zwiron provides a comprehensive solution that integrates your entire stack into a seamless automated process: Move ➔ Know ➔ Trust. Our service synchronizes data warehouses, organizes assets, and conducts over 25 quality assessments to prevent erroneous data from appearing on your dashboards. We offer a secure outbound VPC agent with no hidden fees or charges per row. Our platform is fully operational with Postgres, MySQL, Mongo, Snowflake, and Big Query. Eliminate the uncertainty regarding the accuracy of your data figures and take action to bridge the gap today for a more reliable data experience.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS App Mesh Yes 
Amazon DynamoDB Yes 
Amazon EC2 Yes 
Amazon EMR Yes 
Amazon RDS Yes 
Amazon S3 Yes 
EC2 Spot Yes 
Functionize Yes 
Mobito Yes 
MongoDB No 
MySQL No 
Snowflake No 
SquaredUp Yes 

Integrations

AWS App Mesh No 
Amazon DynamoDB No 
Amazon EC2 No 
Amazon EMR No 
Amazon RDS No 
Amazon S3 No 
EC2 Spot No 
Functionize No 
Mobito No 
MongoDB Yes 
MySQL Yes 
Snowflake Yes 
SquaredUp No 

Pricing Details

$1 per month
Free Trial No 
Free Version Yes 

Pricing Details

Free Trial
Starter, $99/month: full refresh and incremental sync with inline transforms and scheduling. It includes 25 GB a month as a hard cap, 5 connections, 5 pipelines, 3 seats and 1 agent. It has no CDC and none of the cataloging or data quality features.
Platform, $999/month (most popular): everything in Starter, plus CDC, a catalog with lineage, and data quality tests and gates. It includes 250 GB a month, 25 connections, 25 pipelines, 15 seats and 3 agents.
Enterprise, custom annual contract: everything in Platform, plus entity matching, governance policies, SSO/SAML, RBAC, audit retention, API keys, higher limits and priority support.
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 No 
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 No 

Customer Support

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

Customer Support

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

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Amazon

Founded

1994

Country

United States

Website

aws.amazon.com/datapipeline/

Vendor Details

Company Name

Zwiron

Founded

2026

Country

India

Website

zwiron.com

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Product Features

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