Top ETL Tools

Top 10 ETL Tools for Data Integration

Top 5 Talend Competitors & Alternatives 2024

April 16, 2024

Effective data management is essential for unlocking the full potential of vast data from diverse sources. Many data integration tools like Talend offer streamlined solutions for building effective data pipelines. Although Talend is a robust data management platform, it has certain limitations! Therefore, it is crucial to explore Talend competitors and alternatives.

This article will delve into some of the most sought-after Talend alternatives you can choose for your business.

Talend Overview

Talend is a unified platform that supports end-to-end data management solutions. It offers a strategic approach to data integration, including rapid data ingestion, transformation, mapping, and automated quality checks to ensure data integrity at every step. Talend supports data management in various environments, including cloud, on-premises, and hybrid setups. This makes it a versatile solution for businesses looking to streamline their data integration processes.

Key Features of Talend:

Talend Data Fabric: It is a holistic platform that seamlessly integrates data integration and governance functionalities. It includes robust data quality features that automatically cleanse and profile data in real time. This ensures that inaccurate data is prevented from entering systems.

Stitch Data: It is a powerful integration solution by Talend for connecting data from various databases, SaaS applications, and systems into a centralized destination. The platform offers over 140 pre-built connectors, including popular data sources, allowing you to build data pipelines effortlessly.

Talend Trust Assessor: Trust Assessor evaluates your data's validity, completeness, and uniqueness, providing quantified feedback. By ensuring the trustworthiness of your data, you can make informed strategic decisions based on reliable insights.

Top 5 Talend Competitors & Alternatives 

Here are the top five Talend competitors:

Airbyte

Airbyte is one of the leading data integration and replication platforms that allows you to automate the creation of data pipelines. With over 350+ pre-built connectors, you can seamlessly integrate data from various data sources to the destination of your choice. The tool follows a modern ELT (Extract, Load, Transform) approach to streamline integration. 

Here are the key features of Airbyte:

Custom Connectors: If the pre-built list of connectors does not include the one you need, you have the option to easily create custom connectors using either the no-code connector builder or the low-code Connector Development Kit. This allows you to quickly build the data pipelines with your desired source and destination.

Change Data Capture (CDC): This feature enables you to capture and transfer modifications made to your source dataset into your data warehouse without any manual interventions. When configuring your data pipeline, you can specify the frequency for incremental synchronization. This allows Airbyte to sync only the changed data from the source and update the dataset in your destination. By enabling CDC technique, you can keep your data up-to-date efficiently, eliminating the need to migrate the entire dataset.

PyAirbyte: It is the latest addition to Airbyte and was designed to revolutionize data pipeline management for Python developers. PyAirbyte is an open-source Python library that packages connectors and makes them accessible as code. This approach caters to users who prefer a code-centric approach to designing and managing data pipelines. By leveraging PyAirbyte, you can utilize a wide range of data connectors Airbyte supports without the need for developing and maintaining on your own.

Data Security: Airbyte adheres to numerous data security and certifications, including HIPAA, GDPR, SOC II, and ISO. This ensures robust data protection and compliance with industry standards.

Advantages of Airbyte Over Talend

Now, let’s explore how Airbyte can effectively overcome some of the Talend’s limitations:

Flexible Deployment: Airbyte offers a unique advantage in deployment options compared to other data integration tools. While many tools only offer cloud-based deployment, Airbyte provides both cloud-based and self-hosted deployment models. This flexibility allows you to select the deployment option that best suits your business requirements. Furthermore, with Powered by Airbyte, you can effortlessly incorporate numerous integrations into your product further enhancing the versatility and ease of use.

Ease of Use: To manage data pipelines, Airbyte provides intuitive workflows and user-friendly interfaces. These include UI, API, Terraform Provider, and PyAirbyte, making it accessible to both technical and non-technical users. This emphasizes flexibility and ease of use, reducing the learning curve and enabling faster implementation.

Large Open-source Community: Airbyte has one of the largest open-source data engineering communities, with a strong presence of over 800 contributors. If you encounter any challenges during connector development or usage, you can readily seek assistance from the network. In comparison, Talend has discontinued hosting and updating the open-source version of Talend Studio since January 31, 2024.

Pricing: In contrast to Talend, which lacks transparency in its pricing and specific pricing plans, Airbyte offers a flexible pricing model. With Airbyte, you can choose from three distinct versions: Airbyte Cloud, Airbyte Self-Managed, and Powered by Airbyte. The Self-Managed offers an open-source version that is free and allows you to have complete control over your workflows, while the cloud version operates on a pay-as-you-go pricing model. Powered by Airbyte offers plans tailored to different syncing frequency needs.

Fivetran

Fivetran is a comprehensive cloud-based platform for data movement, offering a range of integration approaches such as ETL and ELT. It simplifies the process of data extraction and loading for intricate data pipelines through automation. With Fivetran, you can leverage a vast library of more than 400 connectors to seamlessly synchronize data from various sources directly into your preferred destination.

Here are the key features of Fivetran:

  • Fivetran prioritizes data security through column blocking and hashing. Column blocking enables the selective restriction of certain columns from being replicated in the target system. On the contrary, hashing is used to safeguard Personally Identifiable Information (PII) by encrypting it prior to loading it into the destination system.
  • If there is a failure in the data synchronization process from the source to the destination, Fivetran guarantees that no data is lost. You are promptly notified via email and a message on the dashboard. By checking the logs, you can quickly identify the sync failure and begin troubleshooting.
  • Fivetran offers pre-built data models that streamline and enhance your data transformation processes. This feature allows you to easily create comprehensive tables that facilitate data analytics and visualizations.

Pricing

Fivetran offers a free starter plan and three pricing plans—Starter, Standard, and Enterprise. The pricing is determined by your monthly active rows (MAR) usage, and each plan comes with different features.

Rivery

Rivery is an ELT platform that offers data integration, activation, transformation, and workflow orchestration. It has a user-friendly interface and offers a wide catalog of over 200 pre-built connectors, allowing you to automate various tasks in creating data pipelines. Additionally, Rivery enables advanced data transformation tasks through SQL and Python coding capabilities.

Here are the key features of Rivery:

  • Rivery offers predefined reports that can be customized to meet your specific requirements. Each report clearly describes the data it encompasses, helping you understand its relevance to your business objectives.
  • With Rivery, you have the ability to create customized alerts that automatically notify relevant team members whenever anomalies or issues are detected in your data pipelines.
  • By default, Rivery supports reverse ELT, which is particularly beneficial for data activation purposes.

Pricing

Rivery provides three versions—Starter, Professional, and Enterprise. The Starter plan is priced at $0.75 per Rivery pricing unit (RPU) per month. The Professional plan, suitable for advanced teams, is available at a rate of $1.20 per RPU per month. For the Enterprise plan, you can reach out to the sales team to discuss the pricing details.

Hevo

Hevo Data is a comprehensive data integration platform that offers automated end-to-end data pipelines. With a vast array of 150+ connectors, it enables you to effortlessly extract data from various sources, such as SaaS applications, databases, and data warehouses, and seamlessly load it to your preferred destination. By unifying the data in a centralized repository, you can effectively leverage it for data analytics.

Here are the key features of Hevo:

  • Hevo Data's fault-tolerant architecture guarantees data integrity and low latency throughout the integration process, preventing data loss.
  • It makes handling large amounts of data easy by automatically adjusting to workload demands, ensuring seamless scalability without hassle.
  • Hevo maintains data integrity and confidentiality by adhering to industry-leading security standards, including GDPR, SOC 2, and HIPAA.

Pricing

Hevo Data offers three pricing plans—Free, Starter, and Professional. The Free version is accessible to all users and is ideal for managing small data volumes. The Starter plan enables the transfer of a limited amount of data from databases to a target system. However, the Professional version is recommended for larger data migrations, as it provides comprehensive data control.

Informatica

Informatica is a widely used data integration platform that enables efficient data movement. It streamlines the collection of data from various sources while ensuring consistency. In addition to its integration functions, Informatica offers features like data governance, quality, and management. This eliminates the need to switch between multiple environments for different requirements.

Here are the key features of Informatica :

  • Informatica provides API integration capabilities to connect systems and applications. You can use REST API, SOAP API, and Open Data protocol to establish these connections.
  • It caters to both on-premise and cloud environments with products like PowerCenter and Intelligent Data Management Cloud.
  • Informatica offers extensive enterprise-grade features, such as big data warehousing and master data management (MDM) capabilities.

Pricing

Informatica PowerCenter adopts a custom pricing model based on Informatica Processing Unit consumption (IPU). The payment is determined by the number of IPUs utilized. For accessing the platform's cloud services, you can select either the IPU or Flex IPU consumption model and contact their sales team for further assistance.

Wrapping Up

An efficient data integration process is essential for consolidating your data and saving valuable time, money, and resources. Talend is a well-known platform that caters to integration requirements. However, given the evolving nature of businesses, it is also beneficial to consider Talend competitors and alternatives that offer advanced data management and integration features.

We recommend using Airbyte, an advanced data integration platform. It offers a wide catalog of pre-built connectors that facilitate seamless integration. You can sign up for free to explore its unique features and capabilities.

What should you do next?

Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

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TL;DR

The most prominent ETL and ELT tools to transfer data from include:

  • Airbyte
  • Fivetran
  • Stitch
  • Matillion
  • These ETL and ELT tools help in extracting data from and other sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities. Airbyte distinguishes itself by offering both a self-hosted open-source platform and a Cloud one..

    What is ETL?

    ETL (Extract, Transform, Load) is a process used to extract data from one or more data sources, transform the data to fit a desired format or structure, and then load the transformed data into a target database or data warehouse. ETL is typically used for batch processing and is most commonly associated with traditional data warehouses.

    What is ELT?

    More recently, ETL has been replaced by ELT (Extract, Load, Transform). ELT Tool is a variation of ETL one that automatically pulls data from even more heterogeneous data sources, loads that data into the target data repository - databases, data warehouses or data lakes - and then performs data transformations at the destination level. ELT provides significant benefits over ETL, such as:

    • Faster processing times and loading speed
    • Better scalability at a lower cost
    • Support of more data sources (including Cloud apps), and of unstructured data
    • Ability to have no-code data pipelines
    • More flexibility and autonomy for data analysts with lower maintenance
    • Better data integrity and reliability, easier identification of data inconsistencies
    • Support of many more automations, including automatic schema change migration

    For simplicity, we will only use ETL as a reference to all data integration tools, ETL and ELT included, to integrate data from .

    How data integration from to a data warehouse can help

    Companies might do ETL for several reasons:

    1. Business intelligence: data may need to be loaded into a data warehouse for analysis, reporting, and business intelligence purposes.
    2. Data Consolidation: Companies may need to consolidate data with other systems or applications to gain a more comprehensive view of their business operations
    3. Compliance: Certain industries may have specific data retention or compliance requirements, which may necessitate extracting data for archiving purposes.

    Overall, ETL from allows companies to leverage the data for a wide range of business purposes, from integration and analytics to compliance and performance optimization.

    Criterias to select the right ETL solution for you

    As a company, you don't want to use one separate data integration tool for every data source you want to pull data from. So you need to have a clear integration strategy and some well-defined evaluation criteria to choose your ETL solution.

    Here is our recommendation for the criteria to consider:

    • Connector need coverage: does the ETL tool extract data from all the multiple systems you need, should it be any cloud app or Rest API, relational databases or noSQL databases, csv files, etc.? Does it support the destinations you need to export data to - data warehouses, databases, or data lakes?
    • Connector extensibility: for all those connectors, are you able to edit them easily in order to add a potentially missing endpoint, or to fix an issue on it if needed?
    • Ability to build new connectors: all data integration solutions support a limited number of data sources.
    • Support of change data capture: this is especially important for your databases.
    • Data integration features and automations: including schema change migration, re-syncing of historical data when needed, scheduling feature
    • Efficiency: how easy is the user interface (including graphical interface, API, and CLI if you need them)?
    • Integration with the stack: do they integrate well with the other tools you might need - dbt, Airflow, Dagster, Prefect, etc. - ? 
    • Data transformation: Do they enable to easily transform data, and even support complex data transformations? Possibly through an integration with dbt
    • Level of support and high availability: how responsive and helpful the support is, what are the average % successful syncs for the connectors you need. The whole point of using ETL solutions is to give back time to your data team.
    • Data reliability and scalability: do they have recognizable brands using them? It also shows how scalable and reliable they might be for high-volume data replication.
    • Security and trust: there is nothing worse than a data leak for your company, the fine can be astronomical, but the trust broken with your customers can even have more impact. So checking the level of certification (SOC2, ISO) of the tools is paramount. You might want to expand to Europe, so you would need them to be GDPR-compliant too.

    Top ETL tools

    Here are the top ETL tools based on their popularity and the criteria listed above:

    1. Airbyte

    Airbyte is the leading open-source ELT platform, created in July 2020. Airbyte offers the largest catalog of data connectors—350 and growing—and has 40,000 data engineers using it to transfer data, syncing several PBs per month, as of June 2023. Major users include brands such as Siemens, Calendly, Angellist, and more. Airbyte integrates with dbt for its data transformation, and Airflow/Prefect/Dagster for orchestration. It is also known for its easy-to-use user interface, and has an API and Terraform Provider available.

    What's unique about Airbyte?

    Their ambition is to commoditize data integration by addressing the long tail of connectors through their growing contributor community. All Airbyte connectors are open-source which makes them very easy to edit. Airbyte also provides a Connector Development Kit to build new connectors from scratch in less than 30 minutes, and a no-code connector builder UI that lets you build one in less than 10 minutes without help from any technical person or any local development environment required.. 

    Airbyte also provides stream-level control and visibility. If a sync fails because of a stream, you can relaunch that stream only. This gives you great visibility and control over your data. 

    Data professionals can either deploy and self-host Airbyte Open Source, or leverage the cloud-hosted solution Airbyte Cloud where the new pricing model distinguishes databases from APIs and files. Airbyte offers a 99% SLA on Generally Available data pipelines tools, and a 99.9% SLA on the platform.

    2. Fivetran

    Fivetran is a closed-source, managed ELT service that was created in 2012. Fivetran has about 300 data connectors and over 5,000 customers.

    Fivetran offers some ability to edit current connectors and create new ones with Fivetran Functions, but doesn't offer as much flexibility as an open-source tool would.

    What's unique about Fivetran? 

    Being the first ELT solution in the market, they are considered a proven and reliable choice. However, Fivetran charges on monthly active rows (in other words, the number of rows that have been edited or added in a given month), and are often considered very expensive.

    Here are more critical insights on the key differentiations between Airbyte and Fivetran

    3. Stitch Data

    Stitch is a cloud-based platform for ETL that was initially built on top of the open-source ETL tool Singer.io. More than 3,000 companies use it.

    Stitch was acquired by Talend, which was acquired by the private equity firm Thoma Bravo, and then by Qlik. These successive acquisitions decreased market interest in the Singer.io open-source community, making most of their open-source data connectors obsolete. Only their top 30 connectors continue to be  maintained by the open-source community.

    What's unique about Stitch? 

    Given the lack of quality and reliability in their connectors, and poor support, Stitch has adopted a low-cost approach.

    Here are more insights on the differentiations between Airbyte and Stitch, and between Fivetran and Stitch.

    Other potential services

    Matillion

    Matillion is a self-hosted ELT solution, created in 2011. It supports about 100 connectors and provides all extract, load and transform features. Matillion is used by 500+ companies across 40 countries.

    What's unique about Matillion? 

    Being self-hosted means that Matillion ensures your data doesn’t leave your infrastructure and stays on premise. However, you might have to pay for several Matillion instances if you’re multi-cloud. Also, Matillion has verticalized its offer from offering all ELT and more. So Matillion doesn't integrate with other tools such as dbt, Airflow, and more.

    Here are more insights on the differentiations between Airbyte and Matillion.

    Airflow

    Apache Airflow is an open-source workflow management tool. Airflow is not an ETL solution but you can use Airflow operators for data integration jobs. Airflow started in 2014 at Airbnb as a solution to manage the company's workflows. Airflow allows you to author, schedule and monitor workflows as DAG (directed acyclic graphs) written in Python.

    What's unique about Airflow? 

    Airflow requires you to build data pipelines on top of its orchestration tool. You can leverage Airbyte for the data pipelines and orchestrate them with Airflow, significantly lowering the burden on your data engineering team.

    Here are more insights on the differentiations between Airbyte and Airflow.

    Talend

    Talend is a data integration platform that offers a comprehensive solution for data integration, data management, data quality, and data governance.

    What’s unique with Talend?

    What sets Talend apart is its open-source architecture with Talend Open Studio, which allows for easy customization and integration with other systems and platforms. However, Talend is not an easy solution to implement and requires a lot of hand-holding, as it is an Enterprise product. Talend doesn't offer any self-serve option.

    Pentaho

    Pentaho is an ETL and business analytics software that offers a comprehensive platform for data integration, data mining, and business intelligence. It offers ETL, and not ELT and its benefits.

    What is unique about Pentaho? 

    What sets Pentaho data integration apart is its original open-source architecture, which allows for easy customization and integration with other systems and platforms. Additionally, Pentaho provides advanced data analytics and reporting tools, including machine learning and predictive analytics capabilities, to help businesses gain insights and make data-driven decisions. 

    However, Pentaho is also an Enterprise product, so hard to implement without any self-serve option.

    Informatica PowerCenter

    Informatica PowerCenter is an ETL tool that supported data profiling, in addition to data cleansing and data transformation processes. It was also implemented in their customers' infrastructure, and is also an Enterprise product, so hard to implement without any self-serve option.

    Microsoft SQL Server Integration Services (SSIS)

    MS SQL Server Integration Services is the Microsoft alternative from within their Microsoft infrastructure. It offers ETL, and not ELT and its benefits.

    Singer

    Singer is also worth mentioning as the first open-source JSON-based ETL framework.  It was introduced in 2017 by Stitch (which was acquired by Talend in 2018) as a way to offer extendibility to the connectors they had pre-built. Talend has unfortunately stopped investing in Singer’s community and providing maintenance for the Singer’s taps and targets, which are increasingly outdated, as mentioned above.

    Rivery

    Rivery is another cloud-based ELT solution. Founded in 2018, it presents a verticalized solution by providing built-in data transformation, orchestration and activation capabilities. Rivery offers 150+ connectors, so a lot less than Airbyte. Its pricing approach is usage-based with Rivery pricing unit that are a proxy for platform usage. The pricing unit depends on the connectors you sync from, which makes it hard to estimate. 

    HevoData

    HevoData is another cloud-based ELT solution. Even if it was founded in 2017, it only supports 150 integrations, so a lot less than Airbyte. HevoData provides built-in data transformation capabilities, allowing users to apply transformations, mappings, and enrichments to the data before it reaches the destination. Hevo also provides data activation capabilities by syncing data back to the APIs. 

    Meltano

    Meltano is an open-source orchestrator dedicated to data integration, spined off from Gitlab on top of Singer’s taps and targets. Since 2019, they have been iterating on several approaches. Meltano distinguishes itself with its focus on DataOps and the CLI interface. They offer a SDK to build connectors, but it requires engineering skills and more time to build than Airbyte’s CDK. Meltano doesn’t invest in maintaining the connectors and leave it to the Singer community, and thus doesn’t provide support package with any SLA. 

    All those ETL tools are not specific to , you might also find some other specific data loader for data. But you will most likely not want to be loading data from only in your data stores.

    Which data can you extract from ?

    How to start pulling data in minutes from

    If you decide to test Airbyte, you can start analyzing your data within minutes in three easy steps:

    Step 1: Set up as a source connector

    Step 2: Set up a destination for your extracted data

    Choose from one of 50+ destinations where you want to import data from your source. This can be a cloud data warehouse, data lake, database, cloud storage, or any other supported Airbyte destination.

    Step 3: Configure the data pipeline in Airbyte

    Once you've set up both the source and destination, you need to configure the connection. This includes selecting the data you want to extract - streams and columns, all are selected by default -, the sync frequency, where in the destination you want that data to be loaded, among other options.

    And that's it! It is the same process between Airbyte Open Source that you can deploy within 5 minutes, or Airbyte Cloud which you can try here, free for 14-days.

    Conclusion

    This article outlined the criteria that you should consider when choosing a data integration solution for ETL/ELT. Based on your requirements, you can select from any of the top 10 ETL/ELT tools listed above. We hope this article helped you understand why you should consider doing ETL and how to best do it.

    What should you do next?

    Hope you enjoyed the reading. Here are the 3 ways we can help you in your data journey:

    flag icon
    Easily address your data movement needs with Airbyte Cloud
    Take the first step towards extensible data movement infrastructure that will give a ton of time back to your data team. 
    Get started with Airbyte for free
    high five icon
    Talk to a data infrastructure expert
    Get a free consultation with an Airbyte expert to significantly improve your data movement infrastructure. 
    Talk to sales
    stars sparkling
    Improve your data infrastructure knowledge
    Subscribe to our monthly newsletter and get the community’s new enlightening content along with Airbyte’s progress in their mission to solve data integration once and for all.
    Subscribe to newsletter

    Build powerful data pipelines seamlessly with Airbyte

    Get to know why Airbyte is the best Talend Alternatives

    Sync data from Talend Alternatives to 300+ other data platforms using Airbyte

    Try a 14-day free trial
    No card required.

    Frequently Asked Questions

    What is ETL?

    ETL, an acronym for Extract, Transform, Load, is a vital data integration process. It involves extracting data from diverse sources, transforming it into a usable format, and loading it into a database, data warehouse or data lake. This process enables meaningful data analysis, enhancing business intelligence.

    What is ?

    What data can you extract from ?

    How do I transfer data from ?

    This can be done by building a data pipeline manually, usually a Python script (you can leverage a tool as Apache Airflow for this). This process can take more than a full week of development. Or it can be done in minutes on Airbyte in three easy steps: set it up as a source, choose a destination among 50 available off the shelf, and define which data you want to transfer and how frequently.

    What are top ETL tools to extract data from ?

    The most prominent ETL tools to extract data include: Airbyte, Fivetran, StitchData, Matillion, and Talend Data Integration. These ETL and ELT tools help in extracting data from various sources (APIs, databases, and more), transforming it efficiently, and loading it into a database, data warehouse or data lake, enhancing data management capabilities.

    What is ELT?

    ELT, standing for Extract, Load, Transform, is a modern take on the traditional ETL data integration process. In ELT, data is first extracted from various sources, loaded directly into a data warehouse, and then transformed. This approach enhances data processing speed, analytical flexibility and autonomy.

    Difference between ETL and ELT?

    ETL and ELT are critical data integration strategies with key differences. ETL (Extract, Transform, Load) transforms data before loading, ideal for structured data. In contrast, ELT (Extract, Load, Transform) loads data before transformation, perfect for processing large, diverse data sets in modern data warehouses. ELT is becoming the new standard as it offers a lot more flexibility and autonomy to data analysts.