Finding the right MySQL ETL tool is essential for managing and analyzing data in the era of big data. Ideally, you want a solution that makes it easy for you to control data flows, integrates with your other apps, and helps your team build data pipelines without learning how to code.
With so many ETL tools for MySQL data warehouses and databases, you need a guide to help you choose an option that fits your company. You're in the right place. To help you select an ETL solution, check out this list of some of the top MySQL ETL tools available.
But first, here's what you should know about MySQL ETL tools:
- MySQL is a relational database management system (RDBMS).
- MySQL ETL tools are platforms designed to extract, transform, and load data into a MySQL database.
- MySQL ETL tools enable you to extract data from different sources and ensure it's processed accurately.
- The best MySQL ETL tools feature low-code/no-code operation, pre-built software integrations, and data transformation capabilities.
- Various MySQL ETL tools exist, including Integrate.io, Fivetran, Talend, and Qlik among others.
What Are MySQL ETL Tools?
MySQL ETL tools are software applications designed to extract data from various sources, transform it into a usable format, and then load it into a MySQL database. ETL tools automate the ETL process, saving you precious time and money while ensuring the highest data quality.
How to Evaluate MySQL ETL Tools
There are many MySQL ETL platforms on the market today. However, they're not all created equal. To ensure you select the right one for your needs, here are a few key things to consider when evaluating your options.
No-Code/Low-Code Operation
The MySQL ETL tool you choose should have an intuitive interface. It should also feature no-code/low-code operation so that everyone on your team can build data pipelines quickly, without the need to understand code.
Scalability
The best ETL tools are capable of handling large volumes of data all at once, without sacrificing speed. After all, there's a constant need for data, and that need will continue to grow over time. Your ETL tool will need to be able to keep up.
Cost
You'll also need to consider your tech budget to determine the right fit. MySQL ETL tools vary in cost. For example, while some are available for free as open-source tools, others will cost you a monthly or annual fee.
Which are the Best MySQL ETL Tools for Secure Data Handling
Integrate.io, Talend, and Fivetran are top MySQL ETL tools for secure data handling. Integrate.io offers native MySQL connectivity with end-to-end encryption, role-based access controls, and compliance with HIPAA, GDPR, and SOC 2 standards. It supports real-time and batch pipelines, built-in transformations, and automated scheduling, ensuring sensitive MySQL data is moved securely into cloud warehouses like Snowflake, BigQuery, or Redshift. Talend provides advanced data governance features, while Fivetran offers fully managed connectors with strong security frameworks for regulated industries.
1. Integrate.io
Rating: 4.3/5.0 (G2)
Key Features:
- ETL and reverse ETL
- ELT and CDC
- API management
- Data observability
- Built-in integrations
Integrate.io is a cloud-based data integration platform that allows businesses to extract, transform, and load data from multiple sources into their MySQL databases if you're searching for the best MySQL ETL tools. Its reverse ETL capabilities enable you to extract data from your MySQL databases and push it back to your other systems, such as your CRM.
What makes Integrate.io stand out is its intuitive, drag-and-drop user interface that allows virtually anyone to set up and configure advanced data pipelines in minutes. You can rest assured that all your data will seamlessly flow to your destination, as Integate.io provides hundreds of pre-built connectors.
Pros:
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Intuitive drag-and-drop UI
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Cloud-native with ETL and ELT support
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Real-time and batch scheduling
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Strong customer support
Cons:
- Pricing aimed at mid-market and Enterprise with no entry-level pricing for SMB
Pricing:
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Free tier with basic limits
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Paid plans are usage-based; pricing available via request
2. Pentaho Data Integration (Kettle)
Rating: 4.3/5.0 (G2)
Key Features:
- ETL
- Codeless operation
- Self-service capabilities
Pentaho Data Integration (or Kettle) has an excellent user interface that allows inexperienced users to build data pipelines quickly. You don’t need to know SQL or other languages to get started. Those features make it a good option for business intelligence as well as MySQL ETL.
Pentaho Data Integration also offers robust reporting and dashboarding capabilities, so you can keep tabs on your data at all times.
Pros:
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Visual job designer with drag-and-drop interface
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Good for on-premise data integration
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Strong transformation capabilities
Cons:
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UI feels dated
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Can be slow to modify or scale pipelines
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Limited cloud-native features
Pricing:
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Open-source (free) version available
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Enterprise edition pricing on request
3. Domo
Rating: 4.4/5.0 (G2)
Key Features:
- Drag-and-drop ETL functionality
- 1,000+ pre-built connectors
- SQL dataflows
Domo is a popular MySQL ETL tool that can be used to integrate, analyze, and visualize data. Domo features drag-and-drop ETL functionality, perfect for those who aren't SQL experts. It also features over a thousand pre-built connectors, making it easy to connect all of your data sources.
Through the tool's SQL dataflow capabilities, you can easily set up transformation pipelines by writing MySQL expressions right inside the tool. Domo's pricing isn't listed on the website. However, pricing is based on factors such as platform usage, volume of data queries, and more.
Pros:
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Strong dashboard and visualization tools
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Scalable cloud platform with automation options
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Embedded analytics and collaboration features
Cons:
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Can be expensive as team size grows
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Setup and data modeling can take time
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Advanced features require steep learning curve
Pricing:
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Starts around $83/user/month for small teams
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Custom enterprise pricing
4. Apache Spark
Rating: 4.2/5.0 (G2)
Key Features:
- ETL
- Fast data integration capabilities
- Open-source
Apache Spark is an open-source data analytics engine capable of quickly processing large datasets. In fact, Apache Spark is known to run data workloads 100 times faster than alternatives. However, it's important to note that speed will depend on the size of the workload, configuration of the environment, and hardware capabilities.
Because of its speed, Apache Spark is a great choice for companies that need to process complex datasets. However, it can be complicated to operate and is best for teams experienced with coding and data engineering.
Pros:
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High-speed in-memory processing
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Supports batch, streaming, machine learning
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Scalable for big data workloads
Cons:
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Complex setup and tuning
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Memory management can be tricky
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Steep learning curve
Pricing:
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Free and open-source
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Infrastructure costs vary based on deployment
5. Fivetran
Rating: 4.2/5 (G2)
Key Features:
- ETL/ELT
- 300+ pre-built connectors
- Automated data transformation capabilities
Fivetran is a cloud-based data integration platform that connects data sources to MySQL databases. Its pre-built connectors, real-time data syncing, and easy-to-use interface make it an excellent choice for non-technical users to set up and manage data integrations.
The platform uses industry-standard security protocols such as SSL/TLS encryption to ensure data is always securely transmitted between systems. It also includes encryption techniques such as AES-256 to protect data at rest.
Fivetran follows strict access control policies to ensure that only authorized users can access customer data, enabling administrators to assign specific roles to users and restrict their access to sensitive data.
Fivetran's pricing plan is based on monthly active rows (MAR). Each MAR is counted once per month, so you only pay for what you use.
Pros:
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Fully managed ELT pipelines
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Wide connector coverage
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Reliable and low maintenance
Cons:
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Expensive at scale
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Limited pipeline customization
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Transformations rely on dbt
Pricing:
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14-day free trial
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Usage-based (Monthly Active Rows)
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Custom enterprise quotes
6. Azure Data Factory
Rating: 4.6/5 (G2)
Key Features:
- No-code ETL and ELT
- 90+ built-in connectors
- Autonomous ETL capabilities
Azure Data Factory is Microsoft's fully managed and serverless data integration tool. Using Azure's built-in connectors, users can integrate their data quickly without the need for complex code. Azure Data Factory includes ETL and ELT capabilities, as well as built-in support for Git and CI/CD.
Pros:
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Deep integration with Microsoft ecosystem
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Code-free pipeline builder
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Built-in scheduling and monitoring
Cons:
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Not as user-friendly for non-Azure users
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Basic UI can hinder large pipeline visibility
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Error tracking and logs are hard to interpret
Pricing:
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Pay-per-use
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Example: ~$1 per 1,000 pipeline runs + data movement costs
7. Talend
Rating: 4.0/5 (G2)
Key Features:
- ETL/ELT
- CDC
- Built-in connectors
Talend is an open-source data integration and ETL platform that helps organizations efficiently move and transform data from one system to another. The platform enables businesses to quickly build and deploy their own custom data integration solutions within their own systems.
You can use Talend’s Open Studio for Data Integration for free, making it one of the most cost-effective ETL solutions, but it comes with certain limitations. On the other hand, if you're looking for a complete data integration and sharing solution, you should go with Talend’s Data Fabric.
Pros:
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Open-source and enterprise options
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Strong transformation and data governance features
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Wide connector support
Cons:
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Open-source version is resource-intensive
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Learning curve is high
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Enterprise version is costly
Pricing:
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Open Studio: Free
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Enterprise plans: Start around $50K/year
8. Informatica
Rating: 4.4/5 (G2)
Key Features:
- ETL/ELT
- CDC
- Integrations with on-premise and cloud-based tools
Informatica is a leading enterprise data integration platform that allows businesses to combine disparate data sources and connect them with their MySQL databases. It can query large volumes of data in real time while maintaining performance and accuracy.
It offers several benefits, including faster and more agile access to large amounts of data and a reduced need for manual data cleaning due to its built-in transformation capabilities.
Informatica can also help reduce the cost of managing multiple databases through its set of automation tools, such as workflow scheduling and automated backups.
Pros:
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Enterprise-grade security, governance, and data management
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Robust metadata and lineage tools
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Scales well for large enterprise use
Cons:
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Expensive licensing
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Requires dedicated team to manage
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Complex setup and maintenance
Pricing:
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Quote-based (tiered IPU licensing model)
9. Hevo Data
Rating: 4.3/5 (G2)
Key Features:
- ETL/ELT
- CDC
- 150+ data sources
Hevo is an AI-powered data pipeline platform that simplifies the process of managing and analyzing data in real time. It enables users to integrate various applications and cloud storage services with their MySQL databases.
The platform ensures data security and compliance by encrypting all datasets in transit using TLS 1.2 protocol. It logs all user activities for auditing and meets GDPR requirements and HIPAA standards.
Pros:
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Real-time data pipeline support
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Simple UI with minimal setup
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Built-in transformations
Cons:
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Limited customization flexibility
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Expensive compared to open-source options
Pricing:
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Free plan available
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Paid plans are usage-based
10. Qlik
Rating: 4.3/5 (G2)
Key Features:
- ETL
- Data warehouse automation
- Self-service analytics
Qlik is a powerful business intelligence and data integration software that enables users to analyze and visualize data in real time. The platform can ingest data from various sources, transform it, and load it to multiple destinations, including MySQL databases.
What makes Qlik stand out is its self-service analytics module. With it, users can create their reports and dashboards right on the platform, thus removing the need for third-party data analytics solutions.
While Qlik can have a steep learning curve, its powerful features make it a valuable tool for businesses seeking more profound insights into their data.
Pros:
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Strong visual analytics and dashboards
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Associative data model
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Embedded analytics and self-service BI
Cons:
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High licensing costs
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Complex for large datasets
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Steeper learning curve for advanced usage
Pricing:
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Subscription-based per user
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Enterprise pricing on request
11. Stitch
Rating: 4.5/5 (G2)
Key Features:
- ETL
- No-code/Low-code
- 130+ data sources
Stitch is a cloud-based, self-service ETL tool. It helps businesses streamline the process of extracting data from various sources into their MySQL database without writing any code.
Its key features include automatic schema detection and mapping and automatic scheduling of ETL tasks. Stitch also comes with many pre-built connectors that help users quickly set up an ETL pipeline with minimal effort or technical knowledge required.
Pros:
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Simple ETL tool with fast onboarding
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Good for small teams and simple pipelines
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Supports many common sources
Cons:
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Limited transformation capabilities
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Basic error tracking
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Less support for real-time data
Pricing:
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Free tier available
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Paid plans based on usage and features
12. Matillion
Rating: 4.4/5 (G2)
Key Features:
- ETL
- No-code/Low-code
- Hundreds of pre-built connectors
Matillion is a cloud-based data integration and transformation platform with powerful ETL capabilities. It's designed to simplify transforming and loading data from multiple sources into MySQL databases.
One of the key benefits of Matillion is its fast deployment process. You can use it to set up projects without any technical expertise, resulting in cost savings associated with hardware installation and IT maintenance costs. Its cloud-based technology enables faster processing time even when dealing with large datasets.
Pros:
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Built for cloud warehouses (Snowflake, Redshift, BigQuery)
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Intuitive UI for building ELT jobs
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Strong native integration with cloud data platforms
Cons:
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Costs tied to cloud usage
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Limited on-premise capabilities
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Requires platform-specific expertise
Pricing:
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Subscription-based; varies by cloud platform and workload size
Comparison of Best MySQL ETL Tools
Feature / Criteria | Integrate.io | Pentaho Data Integration (Kettle) | Domo | Apache Spark | Fivetran | Azure Data Factory | Talend | Informatica | Hevo Data | Qlik | Stitch | Matillion |
---|---|---|---|---|---|---|---|---|---|---|---|---|
Platform Type | Cloud-based low-code ETL/ELT with CDC & reverse ETL | Open-source/on-prem ETL & analytics | Cloud BI & ETL platform | Open-source distributed data processing engine | Managed ELT | Cloud-native ETL/ELT orchestration | Comprehensive integration & governance platform | Enterprise-grade data integration suite | No-code real-time data pipeline | BI & data visualization with ETL | Cloud-based ELT | Cloud-native ELT/ETL for warehouses |
Deployment | SaaS | On-prem or cloud | SaaS | On-prem or cloud | SaaS | Azure cloud service | On-prem, cloud, hybrid | On-prem, cloud, hybrid | SaaS | SaaS or on-prem | SaaS | SaaS |
Connectivity | 200+ connectors for DBs, SaaS, APIs | JDBC, ODBC, files, limited SaaS | 1000+ data sources & APIs | Connectors via Spark packages & APIs | 700+ connectors, CDC | 90+ built-in connectors | 900+ connectors/components | 1000+ connectors | 150+ connectors | Multiple DBs, files, APIs | 100+ connectors | 100+ connectors |
Transformations | In-pipeline SQL, Python, functions | Visual mapping, Java/JavaScript | Visual, in-app transforms | SQL, Scala, Java, Python APIs | ELT only (transform downstream) | Mapping Data Flows, external compute | Rich visual/code-based | Complex enterprise transformations | No-code transforms | Visual prep with Qlik scripts | Minimal; load-focused | ELT & in-warehouse transforms |
Ease of Use | Drag-and-drop, low learning curve | Steeper curve, dev skills needed | Very user-friendly | Requires programming skills | Extremely easy setup | Moderate, requires Azure familiarity | Steeper curve for non-devs | Technical, enterprise-focused | Easy, real-time oriented | Intuitive UI with scripting | Simple, developer-friendly | Moderate; designed for data engineers |
Processing Mode | Batch & near real-time | Batch & near real-time | Batch (some real-time) | Batch & streaming | Batch (interval-based) | Batch & near real-time | Batch & near real-time | Batch & near real-time | Real-time & batch | Batch & near real-time | Batch only | Batch & near real-time |
Scalability | SMB to enterprise | Enterprise-grade | Highly scalable cloud | Massive scale with clusters | Cloud scale | Azure-scale serverless | Enterprise-grade | Enterprise-grade | Cloud-scale | Cloud & on-prem scale | Cloud scale | Scales with warehouse |
Automation & Scheduling | Built-in scheduling, triggers | Scheduler via Pentaho Server | Automated refresh, alerts | Workflow via Airflow, Oozie | Fully automated syncs | Built-in scheduler & triggers | Scheduler, orchestration | Advanced workflow orchestration | Automated sync | Scheduled reloads | Interval scheduling | Job orchestration |
Security & Compliance | SOC 2, HIPAA, GDPR, CCPA | Role-based security, encryption | Enterprise security, GDPR | Kerberos, TLS | SOC 2, GDPR | IAM, VPC, encryption | GDPR, HIPAA | Strong governance, GDPR | SOC 2, HIPAA | Enterprise security | SOC 2, GDPR | SOC 2, GDPR |
Pricing Model | Fixed fee, unlimited usage-based | Free open-source + enterprise | Subscription-based | Free open-source + infra | Consumption-based | Pay-per-use | Free OSS + enterprise license | Enterprise subscription | Subscription | Subscription | Starts ~$100/month | Usage-based |
Best Fit / Use Cases | Flexible pipelines with compliance | On-premises ETL with analytics integration | All-in-one BI + ETL in cloud | Big data & ML processing | Hands-off ingestion into warehouses | Azure-centric data integration | Complex integrations, governance | Large enterprise ETL with governance | Real-time sync with no-code setup | BI-first teams needing ETL | Lightweight cloud ELT | Cloud warehouse-focused ELT/ETL |
Simplify MySQL ETL With Integrate.io
When it comes to ETL solutions that work with MySQL, many tools will do the trick. The best option for you will depend on variables such as your data sources and current applications.
However, if you're looking for a user-friendly ETL solution with great scalability and excellent customer service, Integrate.io is the one for you. Schedule a demo today to experience the Integrate.io platform for yourself.
MySQL ETL Tools FAQs
What Is MySQL?
MySQL is a relational database management system based on structured query language (SQL). It's also an open-source platform, which means it's free to use. As a relational database, MySQL stores data in tables, simplifying data analysis.
Is MySQL an ETL Tool?
No, MySQL is not an ETL tool. To perform ETL, you'll need to use another tool to extract, transform, and load data from other sources into MySQL. For example, you can use cloud-based Integrate.io to integrate your data sources into MySQL.
What's the Difference Between SQL and ETL?
SQL (Structured Query Language) is a standard language for interacting with relational databases and manipulating stored data. It's used to query, insert, update, delete, create, and modify database objects.
ETL (extract, transform, load) is a process of extracting data from various sources, transforming it into a format suitable for querying, and loading it into the target database, data lake, or data warehouse.
What are the leading MySQL ETL tools for retail data analytics?
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Integrate.io – A low-code platform with native MySQL support, ideal for consolidating retail data from POS systems, e-commerce platforms, and marketing tools into analytics-ready formats. It offers drag-and-drop pipeline creation, real-time sync, and advanced transformation options for sales and inventory reporting.
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Pentaho Data Integration (PDI) – Visual ETL tool with strong transformation capabilities suited for retail scenarios such as sales performance tracking, customer segmentation, and inventory optimization.
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Domo – A cloud-based BI and ETL tool with prebuilt connectors, including MySQL, enabling retail teams to centralize and visualize KPIs quickly.
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Coefficient – Useful for operational retail analytics, it streams live MySQL data into Google Sheets for quick, collaborative reporting.
Which MySQL ETL tools are best for healthcare data compliance?
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Integrate.io – Designed for compliance-heavy industries, offering field-level encryption, HIPAA-friendly configurations, audit logs, and role-based access controls for secure MySQL data workflows. Ideal for moving clinical, claims, or patient data into analytics platforms.
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Pentaho Data Integration (PDI) – Supports governance features, metadata management, and transformation workflows that align with healthcare data handling standards.
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OpenMRS – An open-source healthcare platform with built-in MySQL ETL capabilities, tailored for clinical data capture and transformation while maintaining healthcare interoperability.