In today's data-driven world, organizations rely on efficient data integration to extract valuable insights and unlock the full potential of their business. MongoDB, a popular NoSQL database, has gained widespread adoption for its flexibility and scalability. However, when it comes to integrating MongoDB data with other systems, the process can become complex and time-consuming.

If you use MongoDB as your NoSQL database solution, you need ETL tools that can cope with its dynamic schemas and various data formats and types. Not all data integration tools are created equal, so we’ve brought together five top MongoDB ETL tools to help you make the best choice for your business.

Our five takeaways about the top MongoDB ETL tools:

  • ETL (Extract, Transform, Load) is a data integration process used to connect various data sources, including NoSQL databases like MongoDB, and transform the data for analysis using data warehouses and analytics tools.
  • MongoDB ETL tools come in different forms, including cloud-based SaaS, on-premises software, and Platform as a Service (PaaS) offerings. Cloud-based options are often preferred for their scalability and cost-effectiveness.
  • When selecting a MongoDB ETL tool, factors to consider include pricing, features and benefits, user interface, learning curve, support, stability, and the number of integrations supported. Compatibility with MongoDB's NoSQL database structure and JSON format is crucial.
  • Talend Data Integration, Stitch Data Loader, and are all MongoDB ETL tools each with their own strengths and weaknesses. Talend offers a wide range of data integration methods, Stitch focuses solely on ETL and is a cloud-based ETL tool that offers ease of use, advanced security, and excellent customer support.
  • Fivetran and Hevo Data are other notable MongoDB ETL tools. Fivetran provides data replication with some ETL capabilities, and Hevo offers a no-code environment with automated data identification. Each of these 5 tools has its own strengths and weaknesses in terms of pricing, features, ease of use, and scalability.

In this article, we'll explore the top MongoDB ETL tools that can revolutionize your data integration workflows. These tools provide powerful capabilities to extract data from MongoDB databases, transform it into a usable format, and load it into various destinations such as data warehouses, analytics platforms, or other databases. By leveraging these tools, organizations can overcome the challenges associated with data silos and achieve efficient and reliable data integration.

Table of contents

What Is ETL?

Businesses require data integration solutions to ensure the ever-increasing volume of data flowing through companies is useful and provides valuable, actionable insights. This means connecting to as many data sources as possible, including NoSQL databases like MongoDB.

ETL is one method for achieving this. It stands for Extract, Transform, Load, and the process looks like this:

  •          Data pipelines connect to a data source to extract the data
  •          This data is held in a staging area where data transformation and cleansing occurs
  •          Pipelines load data into a specific destination, usually a data warehouse but sometimes a data lake

Once data is fully integrated within a data warehouse, data analytics, and business intelligence (BI) tools can analyze the data for use cases, such as discovering buying trends, identifying customer insights, and helping create meaningful reports.

What Are ETL Tools?

Before the advent of ETL tools, ETL was a process only achievable by a highly skilled data scientist or programmer who could manually code and tweak each data pipeline. ETL tools reduce the need for expensive hires of data engineers, providing simpler, more user-friendly ways to create data pipelines to business apps in low-code or even no-code environments. MongoDB ETL tools are variants of these, capable of connecting to the popular non-relational database solution.

Types of ETL Tools for MongoDB

Like most data management solutions, there are multiple types of ETL tools available. Your Mongo ETL tools may be:

  •          Cloud-based SaaS purchased on a month-by-month subscription basis
  •          On-premises software
  •          PaaS—this stands for Platform as a Service and, in this context, refers to MongoDB ETL tools that provide a full range of data integration services

Cloud-based PaaS and SaaS are generally the most popular options thanks to scalable pricing structures and off-premises resource management.

How to Choose the Best MongoDB ETL Tools

When choosing any business on-premise or cloud data management tool, business owners need to consider:

  •          Price
  •          Features and benefits
  •          Interface type
  •          Learning curve—will an absolute beginner be able to use it?
  •          Support available
  •          Stability
  •          Number of integrations

Of course, for MongoDB ETL tools, you also need to check that they will connect to NoSQL databases and handle the various data schema and datasets, including data saved in the JSON format. These five ETL services all have that capability, so take a look at the pros and cons of each before deciding on the right MongoDB ETL tool for improving your enterprise data quality.

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Price: 14-day free trial available, then pricing available on a case-by-case basis

Tool type: Cloud-based PaaS offering multiple data integration services

Customer rating: 4.3 stars out of 5 on G2, plus numerous G2 awards

Key features:

  •          Scheduling up to every 5 minutes
  •          Tailored onboarding to ensure business requirements are met
  •          Advanced security
  •          Complies with HIPAA, BAA, GDPR
  •          99.5% service level agreement SLA
  •          REST API connectors
  •          ETL, reverse ETL, CDC capabilities

thumbnail image makes data ingestion easy with more than 100 pre-built connectors and the ability to create many more using its drag-and-drop interface. Schedule multiple pipelines to all your important business data sources, extract and transform data, and load it into data warehouses, such as Amazon Redshift, Snowflake, or Google BigQuery. As well as popular business apps, connects to database solutions, including MySQL, PostgreSQL, Oracle, and MongoDB.


  •          Cloud platform, no strain on internal resources
  •          Large volume of pre-built connectors and compatibility with multiple other data sources
  •          Built-in MongoDB integration
  •          Set up data flows with ease
  •          Connects to most popular data warehousing solutions
  •          Highly secure and stable
  •          Award-winning customer support


  •          The no-code environment might be difficult for dedicated data engineers to get used to. However, the excellent customer support helps navigate any issues of this type

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Talend Data Integration

Price: Mid-to-high range; the price changes depending upon the number of users and can range from $1,170 per user, per month to a flat fee of $12,000 per year. There is also an open-source version, Talend Open Studio, which requires manual coding skills to create data pipelines.

Tool type: Data integration tool utilizing open, scalable architecture; part of the Talend Data Fabric suite of products.

Customer rating: 4 stars out of 5 on G2

Key features:

  •          Real-time integration
  •          Various reporting functioning, including visualizations such as graphs and charts
  •          Integrates with multiple sources
  •          Graphical user interface (GUI)
  •          Easy to monitor data processes

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Talend offers a range of data management solutions, so it’s not entirely focused on the ETL process. However, many businesses choose Talend as their data integration solution for MongoDB thanks to a high level of detail and control when creating data pipelines and scheduling data workflows. This granular detail can lead to some issues during setup, though, as noted by this reviewer:

“Setting up and configuring the software is very hard. Also, it has a learning curve for graphical interface.”


  •          Wide range of data integration methods, including ETL
  •          Connects to multiple databases, including MongoDB


  •          Error messages are difficult to parse
  •          Very few keyboard shortcuts
  •          Can become slow when dealing with large volumes of big data

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Price: Scalable standard pricing starting at around $100 per month, limited to 5 users per account. Enterprise plans only provided on a bespoke basis.

Tool type: Stitch Data Loader is an ETL service owned by Talend.

Customer rating: 4.5 stars out of 5 on G2

Key features:

  •          Connects to SaaS, non-relational and relational databases, and other data sources
  •          Built-in MongoDB integration, although effectiveness may be version-dependent
  •          Developer-friendly
  •          Point-and-click interface

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Stitch is a data platform from Talend that focuses entirely on ETL. It’s built with developers in mind, which means that users with little experience in data management or coding may struggle with the interface. For those with relevant experience, Stitch is fast to set up and easy to use.


  •          ETL pipelines are fast to create
  •          Multiple connectors available
  •          High quality of user support


  •          Some levels of security and data protection compliance guarantees only available via enterprise pricing
  •          Difficult to reset data pipelines if an error occurs
  •          Becomes expensive as data integration requirements scale up

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Price: Free trial, then charges on a pay-as-you-use basis

Tool type: Data replication tool employing CDC and ETL techniques

Customer rating: 4.2 stars out of 5 on G2

Key features:

  •          Consumption-based pricing
  •          ELT focused with some ETL capabilities
  •          Includes MongoDB connector
  •          Reporting and monitoring capabilities

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Fivetran is ideal for businesses looking to transform or replicate relatively small volumes of data at a time to help power data-driven business decisions. For most data transformations, Fivetran utilizes the processing power of your own data warehouse, which can help data changes occur in real time.


  •          No-code data pipelines for most tasks
  •          Multiple connectors available, including for MongoDB
  •          Simple interface


  •          Some more comprehensive processes require some knowledge of SQL coding
  •          Scaling up can become expensive
  •          ETL capabilities are limited

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Hevo Data

Price: Free demo available; standard plan starts at $249.

Tool type: SaaS data pipeline platform

Customer rating: 4.3 stars out of 5 on G2

Key features:

  •          Over 150 connectors
  •          24/7 live chat support
  •          No-code environment
  •          Completely automated

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Hevo is a user-friendly data extraction platform that utilizes ETL to connect to a huge variety of data sources. It has two different ways to connect to MongoDB, empowering businesses to unify their data from all their databases. Reviews generally score Hevo highly, but some users report issues with error messages and building connectors from scratch.


  •          Large volume of connectors
  •          Easy to set up and maintain connectors
  •          Automatic data identification


  •          Challenging to edit or reset pipelines once created
  •          Error messages can be unclear

MongoDB ETL Tools: How Can Help is a no-code ETL platform-as-a-service (PaaS) for all types of data management. The platform also provides reverse ETL capabilities, which empower you to load critical data into your customer relationship management (CRM) systems, including Salesforce and HubSpot. You can also use API management services to connect to data sources, and there are already pre-built connectors to well over 100 popular business data sources, including SQL databases and NoSQL databases like MongoDB.

Extract data with the built-in MongoDB ETL connector. It’s fast and simple to set up, and all our data pipelines are highly secure, ensuring the safety of your data.

Our no-code tool also provides ELT (extract, load, transform) or CDC (change data capture) services for other data sources, providing real-time data replication and reducing the risk of human error. can help your business gain complete data observability and data integrity without the need to invest in costly data managers to code each data pipeline by hand.

Try for yourself with a 14-day trial, and remember to set up a meeting with our helpful team to find out how to get the most out of integrating your MongoDB data.