15 Best ETL Tools for SMBs to Use in 2023

By John Smith

ETL (Extract, Transform, Load) tools are critical for small and medium-sized businesses (SMBs) to aggregate data from multiple sources, process it, and load it into a destination data store for analysis. As data volumes grow, and data sources proliferate, SMBs need scalable and affordable ETL solutions to harness the power of their data.

This article reviews the 15 best ETL tools for SMBs based on capabilities, ease of use, scalability, and pricing.

What is ETL and Why Do SMBs Need It?

ETL refers to the process of:

  • Extracting data from multiple sources
  • Transforming the data by cleaning, enriching, validating, and shaping it
  • Loading the processed data into a destination database or data warehouse

For SMBs, ETL is essential for:

  • Consolidating data from disparate systems like CRM, ERP, web analytics, etc. into a central data store
  • Cleansing and standardizing data for consistency and accuracy
  • Integrating and preparing data for business intelligence and analytics
  • Migrating data from one system to another

Without ETL, SMBs end up with data silos that limit visibility and insights. ETL tools bridge these silos to create a "single source of truth" that drives better decision making.

ETL Tools Comparison Criteria

Here are the key criteria used to evaluate the ETL tools:

Connectivity: Ability to connect to a wide variety of data sources and destinations

Transformations: Data manipulation capabilities like filtering, cleansing, aggregating etc.

Ease of use: Intuitive graphical interface and pre-built components accelerate development

Scalability: Able to handle large data volumes and complex workloads

Pricing: Cost structure aligns with needs of SMBs

Based on these criteria, here are the 15 best ETL tools for SMBs:

1. Hevo Data

Hevo Data offers a fully managed, cloud-based ETL service with an intuitive UI that needs no coding. Over 100 pre-built integrations allow easy connectivity with data sources and warehousing destinations. Advanced transformation capabilities include filtering, anonymization, enrichment etc.

Hevo scales seamlessly to handle billions of records per day with minimal latency. Usage-based pricing starts from $99/month. The reliable managed service reduces ETL overheads for SMBs.

2. Skyvia

Skyvia is an affordable cloud service enabling no-code ETL from diverse data sources to cloud data warehouses. It offers a customizable SQL editor to transform data on the fly. Automated scheduling, monitoring, and error handling simplify maintenance.

The scalable architecture ensures high performance even with large datasets. SMBs can start for free on the $15/month basic plan.

3. Xplenty

Xplenty is a code-free cloud ETL platform providing 350+ pre-built connectors and a simple drag-and-drop interface to integrate data. Machine learning-powered transformation recommendations facilitate mapping data schemas.

The platform scales out using elastic compute resources to provide high throughput. SMB-friendly pricing starts at $1,250/month.

4. Stitch

Stitch offers a cloud-first data pipeline platform that can move data from 90+ sources into cloud data warehouses. An intuitive UI allows users to easily select sources, transformations, and destinations. Deduping, data validation, and scheduling features simplify ETL tasks.

Stitch can be provisioned on cloud infrastructure providing flexibility to scale up or down. SMB pricing starts at $100/month.

5. Matillion ETL

Matillion ETL allows simple no-code ETL with an intuitive interface for building reusable data workflows. Over 70 instant data connectors integrate with various sources and cloud data warehouses. Code-free data transformation capacilities include filtering, derived columns, aggregates etc.

The platform leverages the elasticity of the underlying cloud infrastructure for scalability. SMB pricing starts at $750/user/year.

6. Amazon Glue

Amazon Glue is a fully managed ETL service on AWS allowing data integration workflows to be designed without having to manage servers. Integration with data stores on AWS makes Amazon Glue a compelling choice for AWS-centric SMBs.

It offers auto-scaling ETL jobs driven by Apache Spark providing high scalability. Pay per use pricing starts at around $0.44 per DPU hour.

7. Blendo

Blendo is an integration platform as a service allowing SMBs to easily build scalable ETL pipelines with minimal coding. Hundreds of pre-built connectors integrate data from diverse sources and cloud warehouses. Intuitive data mapper and debugger accelerate ETL job creation.

Usage-based pricing provides predictable costs for SMBs starting at $49/month.

8. Alooma

Alooma (by Google Cloud) is a fully managed enterprise data pipeline tool that allows moving data from various sources into Google BigQuery. The code-free UI simplifies designing ETL jobs. Automated schema and ETL maintenance reduce overheads.

Integrated with Google Cloud Platform, Alooma leverages the scalability of BigQuery for fast performance. SMB pricing starts at $250/month.

9. Talend Open Studio

Talend Open Studio is the free open source version of Talend’s ETL tool, offering strong integration capabilities. Point-and-click interface enables code-free ETL with over 900 pre-built connectors. Good for basic FMC needs of SMBs with small datasets.

Lacks enterprise features like governance and team collaboration offered in paid version. Scalability depends on self-hosted infrastructure.

10. Apache Nifi

Apache Nifi is an open source, Java-based tool for building flexible data pipelines to transport and transform data between diverse systems. Offers easy drag-and-drop functionality to design pipelines and rich library of processors.

As Nifi is deployed on owned infrastructure, SMBs can start small with ability to scale out horizontally as needs grow.

11. Pentaho Data Integration

Pentaho Data Integration, also called Kettle, is a popular open source ETL tool providing a clean GUI for building ETL transformations and pipelines. Broad connectivity via plugins and extensive transformations help shape diverse datasets.

As open source tool, no vendor lock-in but requires expertise to scale ETL pipelines as data volumes increase.

12. CloverDX

CloverDX offers capabilities like ETL mapping, transformation scripting and workflow scheduling – providing flexible data integration strategies. Connects to 300+ applications and handles formats like XML, JSON, AVRO, CSV etc.

Pricing for SMBs starts at $4k per year for Designer license. Scales using clustering and load balancing.

13. Actian DataConnect

Actian DataConnect integrates seamlessly with the Actian analytics platform, providing easy information sharing across the suite. High performance data connectivity to over 150 data sources. Code-free visual data design.

A good embedded ETL choice as part of broader Actian deployment. Yearly subscription pricing develops according to usage.

14. Etleap Cloud

Etleap offers a code-free cloud ETL tool for easy information integration and transformation across databases, apps, files. 300+ pre-built connectors and support for bi-directional data flow. Intuitive web interface ideal for manual execution of ETL tasks.

Pay only for what is used pricing, starts from around $333 a month for 1 million tasks.

15. Toad Edge

Toad Edge is a database management tool providing ETL features to integrate, transform data across various relational and non-relational sources. Automated mapping suggestions simplifies complex data transformations.

The tool is free for basic ETL needs. However, advanced server integration requires annual subscription currently starting at $2,245.

Key Considerations When Choosing an ETL Tool

While evaluating ETL tools, keep the following aspects in mind aligning with your environment and use case:

  • Data sources/destinations: Will the ETL tool connect easily to your current data infrastructure?
  • Cloud vs on-premise: Do you want to host the ETL platform or leverage the cloud?
  • Data volumes: What are your current and projected future data sizes?
  • Business analytics needs: Which analytics tools will drive your BI and how does data need to integrate with them?
  • User expertise: What are the skill-levels and availability of in-house resources to manage ongoing ETL processes?
  • Security and compliance needs: What are your specific regulatory and data privacy needs?
  • Budget: What price point aligns with your organization‘s size and growth plans?

Going through the above assessment will help determine the best-fit, most cost-effective ETL solution for your SMB.

Conclusion

Getting ETL right is critical for SMBs to unlock the potential of their distributed data sources through a centralized, analytics-ready data warehouse.

The ETL tools profiled here enable SMBs to cost-effectively aggregate, process, integrate and analyze data at scale. Identifying the features compatibile with your use case and business needs will help extract the full value out of your ETL investment.