Top ETL Tools

Top 10 ETL Tools for Data Integration

Top 6 Skyvia Alternatives 2024

April 16, 2024

Is your trusty Skyvia data integration solution starting to feel cramped? Whether you’re facing limitations in functionality and scalability or simply seeking a fresh perspective, venturing beyond Skyvia can unlock new possibilities for your data movement processes. In this dynamic data terrain of 2024, many powerful alternatives await, each promising a smooth and effective journey. 

But wait, before you jump ship! Choosing the right substitute requires navigating a sea of options, each with strengths and quirks. This guide dives headfirst into top tools, empowering you to identify the perfect match for your unique data integration needs. Let’s explore the top 6 Skyvia alternative options you can use in 2024. 

Skyvia Overview 

Skyvia, powered by Devart, is a cloud-based data integration platform that provides a range of services to help you manage your data efficiently. You can perform various integration processes such as ETL, ELT, and Reverse ETL to extract your data from diverse sources and load it to a centralized repository. Beyond integration capabilities, this universal SaaS (Software as a Service) data platform also offers data backup, synchronization, and management solutions. 

Skyvia offers a variety of features: 

  • Catalog of Connectors: It has more than 160 pre-built connectors that allow you to integrate data from multiple platforms seamlessly. However, if you can’t find a connector of your choice, you can always create a new connector with its Connectors SDK.
  • Data Replication: With Skyvia, you can leverage data replication capabilities, enabling you to identify and replicate changes from the source file into the target system.
  • Schedule Backups: Skyvia has excellent backup and restore functionality to keep your data safe. It allows you to perform manual or scheduled data backups, ensuring critical information protection against data loss.

Top 6 Skyvia Alternatives 2024 

Here are the noteworthy 6 Skyvia alternatives, each catering to unique requirements.  


Airbyte Landing Page

Airbyte is a robust data integration platform designed to simplify and streamline the process of collecting and loading data from multiple sources into a centralized data warehouse or data lake. It supports ingesting different types of structured and unstructured data from various sources. With its user-friendly interface and extensive feature set, Airbyte empowers you to efficiently manage your data integration workflows and derive actionable insights from diverse datasets.

Here’s a list of Airbyte’s key aspects: 

  • Low-code/No-code Interface: Airbyte’s no-code connectors enable you to connect to various data sources without writing any code. These connectors simplify the process of setting up data pipelines, allowing you to configure data replication processes between different systems through a user-friendly interface. 
  • Change Data Capture: By capturing only the incremental changes since the last replication, the Airbyte CDC technique eliminates the burden of migrating the entire dataset. This, in return, saves network bandwidth usage and resources as well as results in efficient data synchronization.
  • PyAirbyte: It is an open-source Airbyte Python library that simplifies the utilization of multiple Airbyte connectors with code for data integration tasks. This helps you quickly build custom data pipelines without heavily relying on Docker and Kubernetes. 
  • Modern Cloud-Native Design: Airbyte's cloud-native architecture makes it well-suited for modern data environments. It can seamlessly integrate with cloud-based data storage and processing solutions, offering more scalability and agility. 
  • Security Certifications: Its adherence to security best practices is evidenced by its ISO 27001 and SOC 2 Type II certifications. Additionally, data in transit is encrypted by TLS (Transport Layer Security), and ASE-256-bit encryption secures the metadata while it is at rest. 


Airbyte offers four versions—Open-source, Cloud, Self-managed, and Powered by Airbyte, with a pricing structure tailored to each. The Open-source version is freely available and maintained by its active community. The Cloud operates on a pay-as-you-go model, allowing you to pay only for the credits you utilize. The Self-managed and Powered by Airbyte versions have customized pricing.

Advantages of Airbyte Over Skyvia

Discover the distinct features that make Airbyte a compelling alternative: 

  • Massive Connector Library: Airbyte provides you with a platform where you can seamlessly integrate data from various databases, APIs, data warehouses, or SaaS applications. Compared to Skyvia, Airbyte offers an extensive catalog consisting of 350+ pre-built connectors. This makes it flexible for ingesting data from diverse sources. 
  • Custom Connector Development: Unlike Skyvia, which only gives you limited access to building customer connectors. Airbyte allows you to create custom connectors using its Connectors Development Kit (CDK) in just a few hours. This, in turn, will provide more flexibility to integrate with diverse data sources and destinations compared to Skyvia.
  • Multiple Interfaces: Airbyte offers four different user-friendly interfaces—UI, API, Terraform Provider, and PyAirbyte. This provides you with the flexibility to design and handle data pipelines according to your specific needs and preferences.
  • Community Collaboration: It has a vibrant community comprising 800+ data engineers who are actively engaged with the Airbyte platform. This community collaboration leads to rapid improvements, bug fixes, and support for users at all levels of expertise. is a cloud-based data integration platform that helps your business automate data consolidation, processing, and preparation for various purposes, primarily analytics and BI. It offers a no-code/low-code environment, making it easier for you to work with data pipelines. Moreover, you can also leverage its data replication feature, which allows you to identify and capture changes from the source file and replicate them in the destination system.

Key aspects of

  • Using, you can manipulate data within the pipeline before it is loaded into the destination database. This capability not only reduces computing expenses but also accelerates processing speed, particularly beneficial when managing extensive datasets.
  • provides features for mapping data fields between different systems, ensuring accurate data transformation.  
  • It offers comprehensive monitoring and logging functionalities for tracking the status and performance of the data integration process. 

Pricing offers three pricing plans, each catering to varying needs and requirements. The Starter plan is free, while the Professional version extends functionality, such as supporting frequently running data pipelines. In addition, the Enterprise version provides a comprehensive and customized solution for growing data needs.


Informatica is a data integration platform that provides a wide range of solutions to help you manage and integrate your data. It offers a comprehensive suite of data integration connectors that enable you to extract, transform, and load data from various sources into target systems. In addition to data integration, it offers advanced features for data quality management, data governance, and data security, ensuring your data is accurate and reliable. 

Features of Informatica are: 

  • Informatica allows you to prepare and transform data without heavy reliance on IT, promoting self-service data preparation and analysis. 
  • Its master data management (MDM) capabilities enable you to create and maintain a single, trusted view of its master data. This improves data governance and ensures consistency across your organization. 
  • With Informatica, you can protect your sensitive data from external threats using various security measures it provides. These measures include access controls, encryption, data masking, and database credentials management.


Informatica pricing can vary widely depending on factors such as specific solutions being utilized. For more details on their pricing plans, you can get in touch with Informatica sales teams. 


Stitch, a cloud-based data integration tool, simplifies data movement from over 140 sources into various cloud data warehouses or databases. It offers a user-friendly drag-and-drop interface and pre-built connectors to help you quickly set up and manage data pipelines without the need for infrastructure setup. 

Features of Stitch are: 

  • As a part of the Talend ecosystem, Stitch seamlessly integrates with other Talend services, allowing you to leverage additional data management features as needed.
  • Stitch Data provides orchestration functionalities, empowering you to govern your data pipelines comprehensively throughout the data replication process.
  • It prioritizes data security and compliance, implementing encryption and other measures to protect sensitive information during integration. 


Stitch offers three pricing versions—Standard, Advanced, and Premium. The Standard version starts at $100 per month with a two-month free trial. The advanced plan starts at $1,250 per month, with more control and flexibility of pipelines. The Premium version costs $2,500 per month with robust security and compliance features. 

Hevo Data

Hevo Data is a cloud-based data integration platform designed to simplify the process of collecting, transforming, and loading data from various sources into a data warehouse or destination of choice. With its extensive connectors, automation capabilities, and user-friendly interface, it allows you to streamline data integration workflows of all sizes.

Features of Hevo Data comprise: 

  • Hevo’s visual data mapping feature allows you to intuitively map data fields between sources and destinations, making data flow configuration clear and easy to understand. 
  • Its cloud-based architecture allows for on-demand scaling to accommodate changing data volumes and processing needs. This flexibility ensures smooth performance during data surges. 
  • Hevo Data supports real-time replication, enabling you to capture and process data in near real-time.


The Hevo Data provides four pricing models—Free, Starter, Professional, and Business Critical. The Free plan is freely available. The Starter version costs $239 monthly, and the Professional plan is $679 monthly. Lastly, its business-critical version has customized pricing and is recommended if you have enormous datasets. 

Apache NiFi

Apache NiFi is an open-source data integration tool that is designed to facilitate the flow of data between disparate systems. It provides a user-friendly interface for designing, managing, and monitoring data flow. NiFi is particularly useful for handling large volumes of data with low latency and high throughput. It supports horizontal scalability and can be deployed in clustered configurations to ensure fault tolerance. 

Keys features of Apache NiFi include: 

  • Its ability to process data in real time allows you to respond quickly to changes in your data, making it beneficial for IoT data collection, log processing, stream analytics, etc. 
  • NiFi provides robust security features such as authentication, authorization, encryption, and data provenance tracking to protect sensitive information. 


Apache NiFi is a free and open-source data processing software that allows you to easily handle large volumes of data with minimum effort. 


Exploring alternative options to Skyvia in 2024 unveils a diverse landscape of data integration solutions. The top 6 competitors discussed showcase varying features, providing your business with ample choices to tailor its data integration strategies. As the technology evolves, staying informed about these alternatives ensures that your organization can adapt to changing needs and harness the most effective tools for seamless data management.

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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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 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 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 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.


    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 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 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 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 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 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 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.


    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 Skyvia Alternatives

    Sync data from Skyvia 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.