Summary IconKey Takeaways

If you’re outgrowing Dataddo’s limits, here are the top alternatives to watch in 2025:

  • Hevo Data: No-code, real-time data integration with automated schema mapping.
  • Fivetran: Reliable, scalable pipelines with automated connectors and hands-off operation.
  • Stitch: Open-source ETL for simple, affordable data migration and easy onboarding.
  • Keboola: End-to-end orchestration and governance for unified, collaborative data ops.
  • Airbyte: Open-source, customizable platform for self-hosted or cloud data pipelines.

Pick a platform that matches your team’s technical skills, data scale, and customization needs to make sure your data flows are seamless and future-ready—all with less manual maintenance.

Data integration platforms make it easier to connect different systems and keep data flowing seamlessly across them. Dataddo is one such tool serving many organizations well. But as businesses scale, many teams start looking for Dataddo alternatives that offer more flexibility, better pricing, and a simpler user experience.

That’s what we will break down here. You’ll find the top Dataddo alternatives from our research, why they are better, and what real customers are saying about them.

You’ll discover:

  • The most popular substitutes for Dataddo.
  • Pros and cons of each alternative.
  • Helpful decision-making points like pricing and customer reviews.

By the end, you’ll have a clear picture of which solution can provide a smoother and more reliable data integration experience for your organization.

What is Dataddo?

Dataddo is a cloud-based, no-code ETL tool that offers scalable and customizable data integration solutions to businesses. It is very versatile in the types of connectors and also in ELT and reverse ETL.

It moves data between 300+ sources and destinations, including BI tools, data warehouses, lakes, or business apps. Dataddo has reverse ETL, which makes it open to more data operations. 

It also offers strong security & compliance support with Soc 2 Type II certification, ISO 27001 compliance, and multi-jurisdictional data privacy support (GDPR, HIPAA, CCPA etc).

Why Are People Moving Away from Dataddo?

Although Dataddo is a solid data integration option, most users face issues with customization and customer support. 

1. Minimal Customization:

Some G2 users reported its customization limitations in adding extra features to existing flows. They mention a lack of information on enhancing flows in Dataddo, making feature management challenging. A few users have also faced issues related to custom fields.

2. Historical data retrieval

Some users find difficulty in accessing past data from different sources. To generate historical data records, they might have to contact customer care, a fact that is inconvenient to some users.

3. Pricing and Cancellation Issues

To most, the pricing system is inhibiting, and the cancellation policy poses extra tension. Many Dataddo users reported its subscription cancellation issues due to its poor customer service responsiveness.

In addition, Dataddo offers limited fixed pricing plans. Just one at $99/month plan and an enterprise tier with custom pricing, which may not suit businesses looking for more flexible pricing tiers.

Top 5 Dataddo Alternatives to Consider

In this section, we’ll explore some of the best data pipeline tools that stand as strong alternatives to Dataddo.

ToolBest ForKey AdvantageStarting price

Hevo Data




Fivetran



Stitch








Keboola





Airbyte



No-code, real-time ETL Teams.



Companies that require scalable pipelines.

Budget-friendly pipelines that are required by the SMBs.




Groups of data users with end-to-end data requirements.


It is best for data integration and replication

150+ integrations, schema automatic management,  reliable pipelines

Very dependable auto-updating connectors.

Easy setup, part of the Talend ecosystem, supports developer-friendly customizations


Integrates ETL and orchestration, governance and analytics processes.


open-source and connector-based platform that eases and speed up the data integration process 

Free tier available; Paid plans from $249/mo


Usage-based pricing; starting at $0.01/credit


Plans start at $100/month





Free tier available; Paid plans from $150/user/month



Cloud: Standard plan $10/mo (incl. 4 credits; $2.50/credit extra).

1. Hevo Data

Hevo Data is an ELT, no-code, and real-time platform that makes data integration easy for businesses. It automates the process of integrating data from over 150 sources (SQL, NoSQL, SaaS, etc.) into your data warehouse to transform it into an analytics-ready dataset.

The best part about Hevo is that it’s fully managed. It eliminates pipeline maintenance by proactively monitoring data flows and handling API changes automatically. This hands-off approach makes it an ideal choice for organizations that want minimal operational overhead.

Hevo Data Key Features:

  • Real-time data sync: Hevo provides real-time data replication so that analytics teams may always receive updated data without extra engineering setup.
  • Automated schema mapping: It is a system that automatically identifies and maps schema changes, which minimizes the human effort required to make adjustments.
  • Large connector variations: Hevo is scalable to a wide variety of data sources, making it easy to integrate with different platforms.

Customer Review:

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What do you like best about Hevo Data? hevo data provide no code usage for building pipeline. the interface for building pipeline is drag and drop which is easier to implemention. after getting addicted to the tool im frequency use of hevo data is becoming more and more day by day. There are more number of feature such as pipes ,data flows the data base ingration hevo data is very fast.. infact i would say replication data is speed enough
Fayaz A.
Data engineer

Hevo Data pros

  • Easy-to-use interface: Hevo’s no-code interface makes it easy to build and operate data pipelines.
  • Detailed documentation: Detailed manuals and materials help users navigate the site effectively.
  • Responsive support: Customer support in Hevo is responsive and helpful, according to the users.

Hevo Data cons

  • Pricing structure: Hevo has a higher price structure for some of its users who have small businesses.
  • Minor advanced transformations: Hevo may not be able to achieve advanced data manipulation, even though it can perform basic transformations.
  • Reliance on cloud infrastructure: As a cloud-based infrastructure, its functionality depends on the internet connectivity and the stability of the cloud infrastructure.

Why Choose Hevo over Dataddo?

Here’s where Hevo especially stands out:

  • Intuitive UI: Hevo offers the best intuitive interface compared to its competitors.
  • Schema mapping: The schema detection of the Hevo automation saves manual input in data integration.
  • Massive connector support: Hevo has a great variety of connectors that enable easy integration with any of the platforms, which is not possible with traditional software.

Hevo Data Pricing

Hevo offers a full free version, but comes with some limitations. The paid plans begin with $249/month and offer higher data throughput and advanced features.

2. Fivetran

Fivetran is a fully managed data pipeline system that automates data integration of diverse data sources into data warehouses. It is also concerned with the provision of trusted and scalable data connectors, where data is always synchronized without manual intervention.

Fivetran Key Features

  • Built-in transformation through dbt integration
  • 99.9% uptime SLA for business-critical workloads
  • Supports increasing data volumes without impacting performance.

Customer Review:

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Fivetran makes syncing data from multiple SaaS tools to data warehouses like BigQuery fast and effortless. With plug-and-play connectors, automatic schema management, and strong alerts, it saves our small team hours of manual work.
Dennis C.
Head of Business Operations

Fivetran pros

  • For businesses with mission-critical data needs, real-time syncing is available on higher-tier plans.
  • Fivetran automatically detects changes in source schemas (new fields, changed data types) and adapts the pipelines without manual intervention. 

Fivetran cons

  • Pricing: Fivetran is considered expensive by some of its users, especially when the size of the organization and the amount of data to be processed are scalable.
  • Weak Transformation Abilities: Fivetran specializes in ELT and might not have very many functions of extensive data transformation.

Why Fivetran over Dataddo?

Fivetran stands out for its pre-built, automated connectors to a vast number of data sources. Unlike many tools that require manual remapping or pipeline rebuilds when source schemas change, Fivetran automatically adapts to schema drift and updates destinations seamlessly.

Fivetran Pricing:

Fivetran pricing is usage-based, with a base of 0.1 cent per credit. It is also flexible depending on the data requirement, but it can get expensive when dealing with high data volumes.

3. Stitch

Stitch, acquired by Talend, is an open source ETL tool that puts emphasis on simplicity and usability. It allows companies to draw information from different sources and import it to data warehouses for further analysis.

Stitch stands out because it offers both open-source and commercial solutions, giving teams flexibility based on their goals and scale. Its open-source product is built on top of the Singer framework. For teams seeking high flexibility and cost-effective solutions, the open-source version is often the preferred choice.

On the other hand, enterprises that need dedicated support and extended features typically opt for Stitch’s managed service, which follows a usage-based pricing model.

Key Features

  • Open-Source Flexibility: Stitch is open-source and can therefore be customized and improved by the community.
  • Easy to use interface: The site has a friendly interface, which makes it user-friendly and does not require a user to have a lot of technical knowledge.
  • The platform offers middle-ground functionality between basic tools and enterprise solutions.

Customer Review:

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What do you like best about Stitch? Nothing to configure so much. And very easy to use and run data lake very quickly. Even though you use No SQL, Stitch maps your No SQL data into the tabular data format.
Jinho Y.
CTO

Stitch Pros

  • Intuitive Interface: Stitch has an intuitive interface that makes it easier to create data pipelines and manage them.
  • Open-Source: An open-source software so it’s flexible and customizable.
  • Pre-Built Connectors: Pre-built connectors are available and help in the expediency of integration.

Stitch Cons

  • Little customization: Some users feel that Stitch does not give them the level of customization they need when used in more complicated scenarios.
  • Poor support: Customers indicate that the support is not very prolific.
  • Restricted connector updates: It has been a matter of concern with the addition and maintenance of connectors.

Why Stitch over Dataddo?

Stitch offers competitive pricing compared to tools that charge thousands for similar functionality. Its pricing model makes it a strong fit for smaller teams that don’t need advanced transformation or reverse ETL features.

Stitch Pricing

You can choose the Stitch open-source version for a completely free solution. Its managed version also has a fully functional free tier for 14 days. Advanced plans begin at $100/month and offer more features and increased data throughput.

4. Keboola

Keboola is an ETL, orchestration, and governance platform for data operations. It targets data teams that need end-to-end data operations solutions.

It enables SQL, Python, R, dbt and code-first models alongside no-code flows and agent-based workflows. So both data engineers and analytics users work on the same platform.

Keboola Key Features

  • ETL and Orchestration: Keboola offers ETL tools as well as orchestration, which enables extensive data workflows.
  • Governance Capabilities: The platform has data governance capabilities, which guarantee compliance and data quality.

Customer Review:

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What do you like best about Keboola? It can solve a lot of our problems so far. The support is very helpful. The documentation is mostly updated, so you can find a lot of things yourself. We use it on a daily basis, for now for smaller clients. 90% of use cases already have a ready-made plug and play solution, so it is suitable even for beginners.
Dominik V.
IT Product Manager

Keboola Pros

  • Comprehensive data operations: Keboola combines ETL, orchestration, and governance features, providing a holistic solution.
  • Collaboration features: Collaboration tools improve group work and facilitate data processes.

Keboola Cons

  • Complexity: The system has many functionalities that can increase platform learning curve.
  • Pricing: Keboola pricing is relatively expensive for some small businesses.
  • Performance: In some setups, users have posted performance issues in processing large volumes of data.

Why Keboola over Dataddo?

Keboola goes beyond simple ETL tasks, it’s a unified AI orchestration platform. It enables teams to manage and orchestrate data workflows end-to-end. It helps data engineers build ingestion and transformation pipelines while enabling data science, analytics, and business teams to collaborate and gain insights faster.

Keboola Pricing

Keboola offers a free plan but for a limited time each month. For example, 120 free minutes the first month, 60 free minutes every following month and 14 cents per additional minute. For advanced features such as hybrid deployment and enhanced security, you’ll need to contact Keboola for a custom enterprise pricing quote.

5. Airbyte

Airbyte is an open-source data integration platform that offers both a free self-hosted version and a cloud-managed service. It targets teams that need scalable, customizable, and flexible data pipelines. With its community-driven strategy, Airbyte has built a thriving connector ecosystem, quickly expanded its user base, and become a strong competitor to closed-based ETLs.

Airbyte Key Features

  • Open-Source flexibility: Customize or design your own connectors. It also provides over 300 ready-made connectors.
  • Cloud or Self-hosted: Select Airbyte Cloud (which is easy), or Self-Hosting with complete control and cost reductions.

Customer Review:

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What do you like best about Airbyte? Open-Source & Flexibility: Airbyte OSS stands out for its open-source approach. It\'s both free and self-hostable, providing full control over data and infrastructure while eliminatiing vendor lock-in. Ease of Use: For standard data pipeline (such as PostgreSQL to snowflake), the UI is very intuitive. We can deploy new pipelines in minutes, with no coding required.
Hardik S.
Marketing Expert

Airbyte pros

  • Airbyte offers a free, client-developed, and fast-growing connector base.
  • Airbyte costs less than many other open-source solutions.
  • Airbyte manages both self-hosted and cloud-hosted deployments.

Airbyte cons

  • Certain connectors require debugging and maintenance.
  • The platform is still maturing in stability and advanced features.
  • Cloud pricing can scale up quickly and become costly if not monitored.

Why Airbyte over Dataddo?

Airbyte stands out for its open-source foundation and flexible deployment. Unlike closed platforms, Airbyte lets teams run pipelines on their own infrastructure to cut costs, while Airbyte Cloud gives users the convenience of a managed service. Its strong community drives the rapid growth of supported connectors and ensures long-term scalability for data teams.

Airbyte Pricing

Airbyte Cloud (Standard Plan):

  • Airbyte bills a minimum of 4 credits at the start of each month.
  • It charges $2.50 for each additional credit.

Airbyte Open-Source:

  • The software is free.
  • You pay for infrastructure, which typically costs about $100/month for 1 TB workloads.

Factors to Consider When Choosing a Dataddo Alternative

In choosing the alternative to the Dataddo, it is not only about identifying a tool that has more connectors or a lower price. You need to look at the big picture so that your next platform can support your business and resolve your current pain points.

Data Volume & Scalability

The volume of the data you process, as well as the number of data sources, will increase with the expansion of your company. Select a platform that is capable of managing big data pipelines without performance degradation.

Pricing Model & Transparency

Assess the vendor pricing — is it pay-as-you-drive, charge per connector, or a fixed monthly payment? Estimate the cost using the tool’s transparent pricing structure. If transparent pricing isn’t available, reach out to the tool’s customer support for a pricing quote and ensure there are no hidden fees.

Ease of Use & Customization

No-code or low-code interface can be very helpful in smaller teams that have limited technical resources. Simultaneously, make sure that the tool can be configured for more complicated workflows in case your application requires it.

Connector Ecosystem

Ensure that the platform has all your data sources and destinations. The greater connector library saves time and resources as it eliminates the need to develop a custom API.

Transformation Capabilities

Unless your workflows require complex data transformations, make sure the platform either provides a custom transformation/query language or integrates with popular transformation tools like dbt.

Support & Reliability

See customer reviews on customer support, stability, and response time. When the vital pipelines burst, a robust support team will save you so much time.

Why is Hevo the best Dataddo Alternative?

Many cloud-based alternatives either lack transparent pricing or include hidden charges. When it comes to cost, Hevo offers the easiest tier-based pricing that’s fully transparent. It’s also the most affordable tool for small to mid-sized businesses, offering all the modern features you’d expect. With fixed pricing, you can easily estimate your spending in advance.

For some competing tools, as pipeline complexity grows — with many transformations, custom logic, or non-standard workflows — customization becomes difficult or expensive. Users often note that other platforms have limited transformation flexibility. In contrast, Hevo natively supports SQL and dbt for building custom transformation pipelines.

Moreover, Hevo’s user interface is one of the simplest and most intuitive among its competitors. Its no-code/low-code pipeline editor makes it very accessible for non-engineering users, eliminating the cross team dependency in building pipelines.

FAQ’s

1. Which are the best Dataddo alternatives?

Hevo Data, Fivetran, Stitch, and Keboola are some of the best alternatives in 2025. They all have their distinct advantages, such as real-time update (Hevo), scalability (Fivetran), or open-source (Stitch) flexibility.

2. Does it make sense to have large-scale data integration using Dataddo?

Not always. Although Dataddo is effective with smaller teams and less complex workflows, it has a hard time handling complex transformations and lacks advanced customization.

3. What is the comparison of Hevo with Dataddo?

Hevo offers more affordable pricing, better customer support, real-time sync, automatic schema mapping, and a wider range of connectors. A significant number of users have switched from Dataddo to Hevo due to pricing issues and poor documentation with Dataddo.

4. What is the alternative to Dataddo that is free of charge?

Both Airbyte and Stitch have their free versions, though, should you wish to have a free trial with enterprise features, Hevo’s free version has frequently been regarded as the best place to start.

Srujana Maddula
Technical Content Writer

Srujana is a seasoned technical content writer with over 3 years of experience. She specializes in data integration and analysis and has worked as a data scientist at Target. Using her skills, she develops thoroughly researched content that uncovers insights and offers actionable solutions to help organizations navigate and excel in the complex data landscape.