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shape Amazon S3

Send Data from 80+ Sources to Amazon S3

Kondado provides a direct way to replicate data from your business applications into Amazon S3 storage without writing code. You select the data sources you want to connect, configure your bucket settings, and define how often you want updates to occur. The platform handles the extraction and delivery of your data as structured files, making it immediately available for analysis through your preferred query engines.

Once connected, Kondado maintains your pipelines on a configurable schedule, ensuring your S3 buckets contain current information from across your tech stack. This automated approach eliminates manual exports and keeps your data lake fresh for downstream analytics, reporting, and business intelligence workflows.

Kondado connects 80+ data sources including Salesforce, HubSpot, Shopify, Google Ads, and Facebook Ads directly to Amazon S3, delivering data as CSV, JSON, or Parquet files on a configurable schedule ranging from every 5 minutes to daily. The platform supports automatic schema detection and handles nested data structures, enabling immediate querying through Athena, Presto, or Dremio without manual transformation work.

Amazon S3 is an AWS service for scalable file storage that helps with the separation of storage and compute. Widely used with Athena, Presto, and Dremio on the data virtualization layer. By using Kondado to send data to Amazon S3, you can focus on generating value with your data instead of maintaining data flows to Amazon S3 and eliminate manual tasks

Try out all the features for free for 14 days

Hundreds of data-driven companies trust Kondado
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Experian
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unimed
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yooper

Why Kondado?

Focus on extracting value from your data and leave the rest to us

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Wherever you need

With the same platform, you send data to AI (Claude/ChatGPT via MCP), reports, spreadsheets, databases, data warehouses, and data lakes. ETL and ELT

Learn More About Our Platform →
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From wherever you need

Data from over 80 sources for Marketing, Ecommerce, ERPs, Customer Service, Finance, Databases, and much more

Learn More About Our Data Sources →
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Predictable pricing

No surprise invoices, pick a plan and change it anytime

Check out our plans →

Send data from several data sources to Amazon S3

If the source you want is not listed, drop us a chat message. We love to add new sources!

55pbx
55pbx
ActiveCampaign
ActiveCampaign
Google Ads
Google Ads
Amazon S3
Amazon S3
api4com
api4com
Apple App Store
Apple App Store
ASAAS
ASAAS
AWS CloudWatch Metrics
AWS CloudWatch Metrics
Azure Table Storage
Azure Table Storage
BigQuery
BigQuery
Bing
Bing
Bitrix24 CRM
Bitrix24 CRM
Bling!
Bling!
Blip (take)
Blip (take)
ClickUp
ClickUp
Clockify
Clockify
ContaAzul
ContaAzul
Criteo
Criteo
E-goi
E-goi
EADBOX
EADBOX
Exact Sales
Exact Sales
Facebook Ads
Facebook Ads
Facebook
Facebook
Fatura Simples
Fatura Simples
Freshdesk
Freshdesk
FTP
FTP
Google Analytics GA4
Google Analytics GA4
Google Cloud Storage
Google Cloud Storage
Google Play Store
Google Play Store
Google Search Console
Google Search Console
Google Sheets
Google Sheets
Granatum
Granatum
Hi Platform
Hi Platform
Hotmart
Hotmart
Hubspot
Hubspot
Huggy
Huggy
InfluxDB v1
InfluxDB v1
Infusionsoft (Keap)
Infusionsoft (Keap)
Instagram Ads
Instagram Ads
Instagram
Instagram
Jira
Jira
Linkedin
Linkedin
Loja Integrada
Loja Integrada
MailChimp
MailChimp
Mandrill
Mandrill
Mautic
Mautic
Meetime
Meetime
Mercado Libre
Mercado Libre
Meta Ads
Meta Ads
Microsoft Ads
Microsoft Ads
Microsoft Advertising
Microsoft Advertising
Mixpanel
Mixpanel
monday.com
monday.com
MongoDB
MongoDB
Movidesk
Movidesk
MySQL (& MariaDB)
MySQL (& MariaDB)
NectarCRM
NectarCRM
Notion
Notion
Nuvemshop (Tiendanube)
Nuvemshop (Tiendanube)
Olist Tiny
Olist Tiny
Omie
Omie
Oracle
Oracle
Pagar.me
Pagar.me
Pinterest Ads
Pinterest Ads
Pipedrive
Pipedrive
Pipefy
Pipefy
PipeRun
PipeRun
Ploomes
Ploomes
PostgreSQL
PostgreSQL
Pushwoosh
Pushwoosh
RDStation CRM
RDStation CRM
RDStation
RDStation
Recruiterbox
Recruiterbox
Salesforce Marketing Cloud (Exact Target)
Salesforce Marketing Cloud (Exact Target)
Salesforce
Salesforce
SenseData
SenseData
Shopify
Shopify
SQLServer
SQLServer
Stilingue
Stilingue
Superlogica
Superlogica
Sympla
Sympla
Taboola
Taboola
Tangerino
Tangerino
TikTok Ads
TikTok Ads
TikTok Organic
TikTok Organic
Tiny ERP
Tiny ERP
Toggl
Toggl
Tray
Tray
Trello
Trello
Twilio
Twilio
VNDA
VNDA
VTEX
VTEX
Wake Commerce
Wake Commerce
Webhook
Webhook
Wootric
Wootric
WordPress
WordPress
X Ads
X Ads
YouTube
YouTube
Zeeng
Zeeng
Zendesk Chat (Zopim)
Zendesk Chat (Zopim)
Zendesk
Zendesk

How to send data to Amazon S3

Centralize your data automatically — no code, no manual exports.

1
Select your data sources

Browse Kondado's catalog of 80+ data sources and choose the business applications you want to replicate to Amazon S3. You can select specific pipelines from each source to control exactly which data objects flow into your storage.

2
Configure your S3 connection

Enter your AWS credentials, specify the target bucket and region, and choose your preferred file format and folder structure. Kondado validates the connection to ensure your data will route correctly to your Amazon S3 environment.

3
Set schedule and start replication

Define how frequently you want each pipeline to update, from every 5 minutes to daily, then activate the replication. Kondado begins extracting your data and delivering structured files to Amazon S3 according to your specifications.

Frequently Asked Questions (FAQ)

Get answers about sending data to Amazon S3 with Kondado.

What data sources can I send to Amazon S3 using Kondado? ▼
Kondado connects 80+ data sources to Amazon S3 including popular CRMs like Salesforce and HubSpot, ecommerce platforms such as Shopify and WooCommerce, advertising tools including Google Ads and Facebook Ads, and analytics solutions like Google Analytics. You can select specific pipelines from each source to replicate only the data you need for your S3 data lake.
How do I configure the Amazon S3 connection in Kondado? ▼
You provide your AWS access credentials and specify the target bucket name and region where you want your data stored. Kondado allows you to define file paths and naming conventions, choose your preferred data format, and set compression options to optimize storage costs and query performance.
What file formats does Kondado support when sending data to Amazon S3? ▼
Kondado delivers data to Amazon S3 as CSV, JSON, or Parquet files depending on your analytics requirements. Parquet format offers optimal compression and query performance with Athena and Presto, while CSV provides universal compatibility with legacy systems and spreadsheet applications.
How often can I update my data in Amazon S3? ▼
You can configure update schedules ranging from every 5 minutes to daily, allowing you to balance data freshness with processing costs. Each pipeline can have its own schedule, so you might update high-velocity advertising data every 15 minutes while refreshing CRM records once per day.
Can I combine data from multiple sources in the same Amazon S3 bucket? ▼
Yes, you can route pipelines from multiple data sources into a single bucket or organize them across separate buckets using custom folder structures. Kondado allows you to create logical data partitions by source, date, or data type, making it easy to maintain organized datasets for cross-source analysis.
How do I query my data once it is stored in Amazon S3? ▼
You can use Amazon Athena to run SQL queries directly against your S3 files without moving data, or connect tools like Presto and Dremio for data virtualization and advanced analytics. Many users also load S3 data into BI tools such as Tableau or Power BI to create interactive reports and dashboards.
Does Kondado handle schema changes when replicating to Amazon S3? ▼
Kondado automatically detects schema changes in your source systems and updates the file structures in Amazon S3 accordingly. When new fields are added to your CRM or ecommerce platform, those columns appear in subsequent file deliveries without requiring manual intervention or pipeline reconfiguration.
Can I send specific pipelines instead of all data from a source? ▼
Yes, Kondado allows you to select individual pipelines from each data source rather than replicating entire databases. You can choose specific objects like Salesforce Opportunities or Shopify Orders, ensuring you only store and pay for the data that drives your analytics and reporting needs.