---
title: Data Ingestion Software for Scalable, No-Code Data Integration
description: Hevo’s data ingestion software helps you integrate SaaS apps, databases, and APIs at scale with automatic schema handling, zero maintenance, and 150+ connectors.
canonical_url: https://hevodata.com/product/ingestion/
content_type: page
word_count: 549
source: https://hevodata.com/product/ingestion.md
---

# Data Ingestion Software for Scalable, No-Code Data Integration

Hevo's data ingestion engine moves data from databases, SaaS applications, files, and streaming/event sources into a warehouse or lake, with automated schema handling, log-based replication, and no code required — built to sustain high-throughput, enterprise-scale ingestion workloads.

## Key facts

- Processes 1PB+ of data monthly and 2.5B+ events daily.
- Customers save $60K+ per year on average and cut total cost of ownership (TCO) by 75%+.
- 150+ pre-built connectors across databases, SaaS applications, and file/object stores.
- Rated 4.4/5 on G2 (290+ reviews).
- Used by 2,000+ data teams.
- SOC 2 Type II, GDPR, and HIPAA supported for movement of sensitive data.

## Architecture and reliability

- **High-throughput architecture:** built to process billions of events per day with consistent, low-latency delivery.
- **Continuous availability:** automated retries and fault recovery keep pipelines healthy through source-side disruptions.
- **End-to-end visibility:** near real-time tracking of latency, throughput, and errors.
- **Zero impact on source systems:** optimized CDC and replication avoid heavy scans or intrusive queries.
- **Automated schema handling:** column additions, table changes, and type updates propagate without manual intervention.
- **Self-recovering pipelines:** adaptive retries, smart backoff, and auto-tuning protect throughput under fluctuating load.

## Database ingestion

- **Log-based replication:** ingest from Oracle, SQL Server, MySQL, PostgreSQL, and other enterprise databases with high throughput and low latency.
- **Event- and timestamp-driven replication:** incrementing columns, timestamps, or both, for precise, efficient change capture.
- **Selective ingestion:** load only the datasets you need with SQL filters, keeping the warehouse focused and efficient.
- **Consistent delivery across engines:** supported for MySQL, PostgreSQL, MongoDB, SQL Server, Oracle, MariaDB, and more.

## Source and destination coverage

- **Databases:** MySQL, PostgreSQL, SQL Server, MongoDB, Oracle, Redshift, BigQuery, MariaDB, and others.
- **SaaS applications:** Salesforce, HubSpot, Zendesk, Shopify, Google Ads, Facebook Ads, and more.
- **Files and object stores:** Amazon S3, Google Cloud Storage, Azure Blob, SFTP, and local files.

Full connector list: https://hevodata.com/integrations/

## Extending beyond pre-built connectors

- **Custom connectors:** Hevo's Connector SDK lets teams build private connectors with native-level functionality.
- **REST API ingestion:** push structured records into Hevo from any system over secure, high-throughput APIs.
- **Webhooks ingestion:** capture real-time events through secure webhook endpoints, with automatic retries and guaranteed delivery.

## Security and connectivity

- **Comprehensive object coverage:** tables, collections, nested structures, and semi-structured formats ingest without custom code.
- **Adaptive rate-limit management:** Hevo auto-adjusts to source rate limits with intelligent throttling and batching.
- **Flexible secure connectivity:** VPC peering, SSH tunnels, IP allowlisting, and OAuth-based authentication.

## What customers say

- **Greg Aponte, VP of Data & Operations, Favor:** "Our dashboards haven't broken once since moving to Hevo. It's like our pipelines learned to self-heal."
- **Snehahish Paul, Lead Data Engineer, Zetwerk:** "After evaluating multiple tools, Hevo stood out for its cost effectiveness and ease of use. The responsive support team consistently goes the extra mile to resolve issues."
- **Ramkumar Natarajan, Senior Manager, Data Operations, ThoughtSpot:** "Hevo delivered unmatched reliability and zero downtime, reduced infrastructure costs by 85% and ETL spend by 50%, while increasing data usage by 30–35%."

Full case studies: https://hevodata.com/customers/

## Pricing

Hevo uses transparent, usage-based pricing with no credit card required to start.

## FAQ

### What sources can Hevo's ingestion engine connect to?

Databases (MySQL, PostgreSQL, SQL Server, MongoDB, Oracle, MariaDB, and more), SaaS applications (Salesforce, HubSpot, Zendesk, Shopify, Google Ads, Facebook Ads, and more), files and object stores (Amazon S3, Google Cloud Storage, Azure Blob, SFTP), plus custom sources via REST API or webhooks.

### Does Hevo support custom or unsupported sources?

Yes. Hevo's Connector SDK lets teams build private, native-level connectors, alongside REST API and webhook ingestion for arbitrary sources.

### How does Hevo handle schema changes during ingestion?

Automatically — column additions, table changes, and type updates propagate without manual intervention or downtime.

### How does Hevo protect source database performance during ingestion?

Through optimized CDC and replication methods that avoid heavy scans or intrusive queries, so ingestion has zero impact on source systems.

### Is Hevo's ingestion engine enterprise-compliant?

Yes. SOC 2 Type II, GDPR, and HIPAA are supported for secure movement of sensitive data.