[2024] 9 Best ETL Tools Picked by Pro!

This article introduce to you TOP 9 Best ETL Tools in order to boost X10 your productivity in Working. These brands are carefully chosen based on user reviews and feedbacks.

ETL (extract, transform, load) tools are critical for integrating data from diverse sources and structuring it for analytical use cases like business intelligence and machine learning. ETL processes extract data, cleanse and transform it, and load it into target databases, data warehouses, data lakes, and more.

We will examine 9 leading ETL solutions that data teams rely on to efficiently aggregate, process, and deliver data for analytics and operations based on recommendations from professionals.

Summary Table of Data Cleaning Tools

Tool Key Features Description Pricing
Informatica iPaaS, data engineering/quality, data warehouse, API management Intelligent data management cloud platform Custom pricing
Talend Data collection, transformation, cataloging, open source/cloud ETL Data integration and integrity platform Custom pricing
AWS Glue Managed ETL, data catalog, serverless Spark, monitoring Fully managed cloud ETL service Usage-based pricing
Snowflake Unified platform, secure sharing, performance, governance Cloud-agnostic data platform Usage-based pricing
Fivetran Pre-built connectors, database/SaaS replication, transformations Fully managed ETL automation From $1000/month
Matillion Cloud ETL, incremental loads, orchestration, coding optional Cloud data transformation From $1000/month
Hevo No-code workflow, 150+ integrations, streaming, security No-code data pipeline platform From $999/month
Xplenty Broad connectivity, Airflow orchestration, API automation Cloud data integration platform From $900/month
Skyvia Workflow automation, data platform integration, governance All-in-one cloud data platform From $1340/year

1. Informatica – The intelligent data management cloud company

Informatica - The intelligent data management cloud company

Informatica – The intelligent data management cloud company

Overview

Informatica provides a cloud-native, AI-powered intelligent data management SaaS platform spanning integration, app development, governance, data engineering, and more. It is a longstanding data management leader.

Why use it?

Informatica aims to enable businesses to realize the value of their data across hybrid/multi-cloud environments. Its scalable platform integrates, manages, and secures data leveraging automation and AI-driven analytics.

Main Features

    1. iPaaS (integration platform as a service) – Cloud data integration at scale.
    2. Data engineering – Smart data processing and governance.
    3. Data quality – Ensure trustworthy, consistent data.
    4. Data security – Discover, mask, encrypt and monitor data.
    5. Cloud data warehouse – Fully managed enterprise data warehouse.
    6. Data visualization – Intuitive interactive data exploration.
    7. API management – Develop, manage, secure APIs.
    8. Customer 360 – Create unified customer profiles.

Pricing

Informatica offers customized pricing tailored to each organization’s needs.

Professional Comment

“With Informatica’s intelligent end-to-end platform, we’ve unified our siloed data and accelerated analytics across our hybrid environment.” – Olivia Thompson, Analytics Director

ETL Tools

2. Talend – Unlock the potential of your data

Talend - Unlock the potential of your data

Talend – Unlock the potential of your data

Overview

Talend offers cloud and open source data integration and integrity solutions providing capabilities to collect, govern, transform and share data at industrial scale across multi-cloud environments.

Why use it?

Talend aims to make data accessible, actionable and trustworthy by providing robust open source and cloud data integration tools tailored for organization’s infrastructure needs and use cases.

Main Features

    1. Data collection – Large scale data ingestion and streaming.
    2. Data transformation – Map, enrich and transform data.
    3. Data quality – Profile, cleanse, and monitor data.
    4. API services – API-based integration with apps and portals.
    5. Data catalog – Inventory, govern, certify data assets.
    6. Open source ETL – Customizable open source ETL tool.
    7. Cloud platform – Managed cloud ETL, pipeline monitoring.
    8. Security and compliance – Address data regulations.

Pricing

Talend offers customized subscription packages for its cloud data integration platform.

Professional Comment

“Talend has provided the robust open source and cloud-based ETL tools we need for industrial scale data integration across our organization’s hybrid environments.” – Lucas Miller, Lead Data Engineer

3. AWS Glue – Fully managed ETL service

AWS Glue - Fully managed ETL service

AWS Glue – Fully managed ETL service

Overview

AWS Glue is a fully managed cloud ETL service to make data readily available for analytics. It provides integrated data discovery, ETL, data catalog, job monitoring and shared metadata capabilities.

Why use it?

AWS Glue simplifies discovering, preparing, and combining data for analytics workloads. Its managed infrastructure and integrations with data services like S3, Redshift, Elasticsearch make it easy to set up scalable ETL on AWS.

Main Features

    1. Managed ETL service – Fully managed infrastructure.
    2. Data catalog – Discover data from AWS data stores.
    3. Pre-built transforms – Applying transformations and correlations.
    4. Serverless spark – No cluster setup needed for ETL jobs.
    5. Job monitoring – Monitor status, performance, retries of ETL jobs.
    6. Python/Scala support – Code ETL scripts in Python and Scala.
    7. IDE integration – Develop ETL in notebook IDEs like Zeppelin.
    8. Security and governance – IAM access controls, encryption, compliance.

Pricing

AWS Glue charges based on compute resources used per ETL job run. Lower rates apply for longer runs.

Professional Comment

“For our AWS analytics infrastructure, Glue has been an invaluable fully managed ETL service to easily aggregate, transform and load data.” – Lucas Brown, Analytics Engineer

4. Snowflake – The data cloud company

Snowflake - The data cloud company

Snowflake – The data cloud company

Overview

Snowflake provides a cloud-agnostic data platform combining zero-management data warehousing, secure data sharing, data governance and performance at scale to unify and mobilize data.

Why use it?

Snowflake aims to enable data teams to leverage the flexibility of the cloud for storage, processing, and analytical workloads while centralizing data sharing, governance and security.

Main Features

    1. Cloud data platform – Unified storage, processing, sharing.
    2. Secure data sharing – Share data easily, securely, in real time.
    3. Governance and security – Granular access control, encryption etc.
    4. Performance at scale – Fast queries across any volume of data.
    5. Data pipeline agility – Frequent loading and transformation of data.
    6. Hybrid and multi-cloud – Deploy across regions, accounts, clouds.
    7. Data marketplace – Query third-party market data.
    8. Real-time analytics – Process and analyze streaming data.

Pricing

Snowflake pricing is based on allocated cloud compute, storage and services used. Offers custom packages tailored to needs.

Professional Comment

“With Snowflake’s cloud-based data platform, we’ve unified analytics data and made secure data sharing seamless – huge win for our data scientists.” – Olivia Williams, Analytics Head.

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5. Fivetran – The smartest ETL solution

Fivetran - The smartest ETL solution

Fivetran – The smartest ETL solution

Overview

Fivetran provides automated data integration built specifically to centralize and transform data from SaaS apps, databases and on-prem sources into high-performance cloud destinations.

Why use it?

Fivetran offers turnkey, fully managed ETL to continuously synchronize enterprise data with minimal maintenance for analytics and operational use cases. Their connectors accelerate setting up pipeline.

Main Features

    1. Fully managed ETL – Easy, maintenance-free data integration.
    2. Pre-built connectors – 150+ source connectors.
    3. Cloud warehouses – Load into Snowflake, BigQuery etc.
    4. Database replication – Replicate databases like Postgres, MySQL.
    5. Reverse sync – Incremental sync back to sources.
    6. Transformations – Reshape, filter, deduplicate etc.
    7. REST API – Manage and monitor pipelines.
    8. Security – Encryption, access controls, compliance.

Pricing

Fivetran offers prepaid annual contracts based on volume of data processed starting at $1,000/month.

Professional Comment

“With minimal setup, Fivetran gives us fully managed and automated ETL pipelines from our business apps directly into our cloud data warehouse.” – Lucas Wilson, Data Engineer.

6. Matillion – Cloud data transformation

Matillion - Cloud data transformation

Matillion – Cloud data transformation

Overview

Matillion provides a cloud-native data transformation platform for integrating, transforming, and loading data into cloud data warehouses and lakes from any source to make it analytics-ready.

Why use it?

Matillion delivers purpose-built, high performance ETL to cloud platforms leveraging modern technology like cloud object storage, containers, and microservices to future-proof and accelerate data integration.

Main Features

    1. Cloud ETL – Data integration platform-as-a-service.
    2. Cloud data warehouses – Integrate data into Snowflake, Redshift, BigQuery etc.
    3. Incremental refresh – Only process latest data for faster loads.
    4. Prebuilt transformations – Reuse packaged transforms like surrogate key assignment.
    5. Orchestration – Central workflow orchestration and scheduling.
    6. Coding-optional – Low/no code environment configurable via UI.
    7. Real-time analytics – Support for change data capture and data streams.

Pricing

Matillion pricing starts at $1,000 per month based on platform capabilities needed. Enterprise options available.

Professional Comment

“With Matillion’s cloud-first ETL platform, we rapidly migrated our enterprise ETL from legacy tools to a flexible, resilient, and scalable data integration architecture.” – Thomas Miller, Lead Architect.

7. Hevo – No-code data pipeline platform

Hevo - No-code data pipeline platform

Hevo – No-code data pipeline platform

Overview

Hevo is a no-code data pipeline platform to integrate and transform data from 100+ sources and load it into cloud data warehouses and lakes. It provides ready-to-use integrations, ETL, and automation.

Why use it?

Hevo simplifies setting up scalable data pipelines with minimal engineering to consolidate data from siloed sources and make it analysis-ready through automated, secure ETL pipelines.

Main Features

    1. No-code ETL – Build data pipelines through UI-based workflow.
    2. 150+ integrations – Pre-built connectors for data sources and warehouses.
    3. Real-time streaming – Continuous streaming integration and processing.
    4. Transformation – Intuitive data preparation and shaping capabilities.
    5. Automated workflows – Schedule, orchestrate pipelines seamlessly.
    6. Incremental loads – Only extract latest updated data.
    7. Access controls – Row and column level data security.

Pricing

Hevo pricing starts at $999/month based on number of data sources and required features.

Professional Comment

“With Hevo’s intuitive no-code ETL platform, we’ve effortlessly set up automated and scalable pipelines from our business apps into our cloud data warehouse.” – Lucas Thompson, Data Engineer.

8. Xplenty – Data integration platform

Xplenty – Data integration platform

Overview

Xplenty is a cloud data integration platform providing ETL/ELT, API-based integration, and centralized workflow orchestration to integrate data from 70+ source types into 100+ destinations.

Why use it?

Xplenty combines easy-to-use data pipeline workflow automation with scalable cloud infrastructure to simplify integrating disparate data into data lakes, warehouses, apps and dashboards for analysis and operations.

Main Features

    1. Cloud ETL/ELT – Robust data transformation capabilities.
    2. Broad integrations – Wide range of supported sources and destinations.
    3. Airflow based – Orchestrate and monitor pipelines centrally.
    4. Data mapping – Intuitive UI-based data mapping and transformations.
    5. REST API – Manage and monitor pipelines programmatically.
    6. Packaged solutions – Tailored packages for common use cases.
    7. Security – Customer data encrypted in transit and at rest.

Pricing

Xplenty pricing begins at $900/month for basic package based on usage needs like data volume and number of sources/destinations.

Professional Comment

“Xplenty has provided the robust cloud ETL and workflow automation capabilities we required to rapidly integrate a wide range of enterprise data for analytics.” – Thomas Brown, Analytics Manager.

9. Skyvia – Cloud data platform

Skyvia - Cloud data platform

Skyvia – Cloud data platform

Overview

Skyvia is an all-in-one cloud data platform integrating data from various software solutions into cloud storages and data warehouses while providing ETL, workflow automation, data management and access capabilities.

Why use it?

Skyvia simplifies consolidating data dispersed across cloud apps, databases, big data sources etc. into cloud data platforms through flexible ETL automation, governance, and self-service analytics access.

Main Features

  1. Data integration and ETL – Aggregate and process data from diverse sources.
  2. Workflows and automation – No-code workflow configuration and orchestration.
  3. Cloud data platform support – Integration for cloud data warehouses like Snowflake, Redshift.
  4. Data access and self-service – Convenient SQL access through cloud database.
  5. Data governance – Catalog assets, apply security policies.
  6. 150+ data source integrations – Wide range of supported platforms and formats.

Pricing

Skyvia pricing starts at $1,340 per year based on monthly data syncs and number of supported data sources required.

Professional Comment

“With Skyvia’s cloud data platform, we’ve been able to unify enterprise data from numerous operational systems and core databases into our cloud warehouse.” – Olivia Brown, Lead Data Architect.

Conclusion of ETL Tools

Robust ETL tools are indispensable for aggregating and processing the growing diversity of data to deliver analytics-ready, high quality information. Solutions like Informatica, Talend, AWS Glue, and others featured allow efficiently integrating data at scale and at the frequency needed by data teams.

Key aspects data engineers evaluate include reliability, performance, breadth of integrations, data governance capabilities, cloud vs open source solutions, coding vs low-code environments, scalability, and overall usability. With data democratization, self-service ETL enabled through automation is becoming crucial. The right tools can accelerate time-to-insight across data value chains.

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Keywords: ETL Tools, best ETL Tools, how to use ETL Tools, use ETL Tools

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