The 8 Best Hevo Data Alternatives to Build ELT/ETL Data Pipelines in 2025

What is one thing all artificial intelligence (AI), business intelligence (BI), analytics, and data science initiatives have in common? They all need data pipelines for a seamless flow of high-quality data. In other words, data pipelines integrate data from various sources while automating data preparation, transformation, and cleaning to ensure all your data-driven initiatives receive accurate and reliable data in real-time.

With organizations investing more in AI, BI, and analytics, the market for data pipeline tools is growing at a CAGR of 18.2%. Hevo Data is one such tool that helps organizations build data pipelines. While it may be a good fit for some businesses, it’s not the only solution out there. This is why in this blog post, we list down the best Hevo Data alternatives for data integration.

What is Hevo Data and its Key Features

Hevo is a data pipeline platform that simplifies data movement and integration across multiple data sources and destinations and can automatically sync data from various sources, such as databases, cloud storage, SaaS applications, or data streaming services, into databases and data warehouses.

Key Features

• No-Code Data Pipeline: With Hevo Data, users can set up data pipelines without the need for coding skills, which reduces reliance on technical resources.
• Wide Source Integration: The platform supports connections to over 150 data sources.
• Real-Time Data Sync: Hevo Data features real-time data synchronization, which ensures up-to-date information for analytics and reporting.
• Pre-Built Transformations: It offers pre-defined drag-and-drop and Python code-based transformations to help users clean and prepare data for analysis.
• Scalability: It can handle large-scale data processing, making it suitable for organizations with growing data volumes.
• Reliability and Monitoring: Hevo Data also ensures data accuracy and provides monitoring tools to track pipeline performance and resolve issues.

Why You Should Consider Alternatives to Hevo Data

Despite its features, Hevo has certain limitations and drawbacks that lead users to explore alternative solutions:

• Limited Customization: Hevo Data offers limited room to customize the workflows, meaning users can’t completely tailor the solution to their unique business needs. Some users have also pointed out the limited sources and destinations available in ETL and reverse ETL workflows.
• Limited Transformations and Data Types: The solution offers limited transformations, while it also doesn’t support complex transformations, which can be an issue for organizations with specific use cases. Similarly, some third-party reviewers have pointed out that it lacks support for certain data types in PostgreSQL destinations.
• Lack of Visibility & Control: Due to Hevo Data’s SaaS nature and simplistic UI, users have limited visibility and control of parameters, errors, and issues within the pipelines. For instance, some users have pointed out how certain error codes aren’t visible directly, while others have discussed how limited control over speed and latency in volumes can be an issue.
• Challenges with Real-Time Data: While Hevo Data is marketed as real-time, slight delays can occur when processing large data volumes, which can impact time-critical workflows. Similarly, real-time pipelines may still depend on periodic batch processes for certain operations.
• Pricing Model Issues: Several users have also complained that the solution is too expensive for big data syncs, while others consider it unpredictable because the pricing is dependent on the volume of data (i.e., per row). Similarly, the custom plans are also not very customizable.

Based on all these limitations, let’s look at some of the best Hevo Data alternatives on the market if you’re looking to build ETL/ELT data pipelines.

Top 8 Hevo Data Alternatives in 2025

1.   Astera

Astera is an all-in-one, no-code platform that simplifies data management with the power of AI. With Astera’s visual UI, users automate workflows, connect diverse data sources, and build and manage data pipelines without writing a single line of code. Astera makes data management accessible and efficient, so users can effortlessly integrate data from disparate sources for all their analytics and business intelligence needs.

Key Features

• ETL and ELT Flexibility: Set up ETL and ELT workflows that can adapt to your unique data processing needs.
• Ease of Use: Empower your non-technical users to build data pipelines using an intuitive, no-code, drag-and-drop interface.
• Unified Data Hub: Consolidate structured and unstructured data into a centralized repository for efficient analytics.
• Real-Time Dynamics: Enable instant data synchronization and real-time processing with integrated APIs for critical decision-making.
• Flawless Automation: Automate data workflows, including transformation and validation, to ensure high data quality regardless of the data source.
• Seamless Integration: Seamlessly connect to on-premises, cloud, and hybrid environments with custom, pre-built connectors.
• Dimensional Modeling and Data Vault: Enhance your data organization and scalability with advanced modeling techniques and implement scalable data vault methodologies to ensure flexibility and historical tracking.
• Adaptive Pipelines: Effortlessly build self-adapting data pipelines that can adjust to changes in data sources and formats while also monitoring and optimizing pipeline performance to minimize manual intervention.

Benefits

• 10X Faster ETL/ELT Pipeline Creation: Leverage Astera’s AI-powered solution to create pipelines several times faster without any coding expertise.
• 90% Faster Data Preparation: Speed up data preparation by 90% for agile data pipelines so you can convert data into insights in real-time.
• 97% Reduction in Errors: Increase overall accuracy with Astera’s built-in validation checks and performance optimization. Automate routine tasks to reduce any room for human error.
• 87% Reduction in IT Requests: Streamline workflows and minimize manual intervention to reduce IT requests considerably with AI-enabled automation.

Customer Support & Pricing

Apart from the features, Astera also offers industry-leading onboarding and support to ensure seamless implementation for maximized synergy with your existing data systems, making it a great Hevo Data alternative. Astera’s pricing depends on your choice of solution(s), whether it’s Data Pipelines, Intelligent Document Processing (IDP), Data Warehousing, or all of them. This means you only pay for what you use without worrying about vendor lock-in.

Contact Astera for a personalized demo or a free two-week trial of the solution.

Ratings:

5/5 (Gartner) | 4.4/5 (G2) |8.9/10 (TrustRadius)

2.   Fivetran

Fivetran is a managed, no-code tool used to automate ELT (Extract, Load, Transform) pipelines. It allows organizations to integrate a wide range of sources and destinations with a library of popular, pre-built connectors, making it a decent Hevo Data alternative.

Fivetran features a user-friendly interface that allows users to perform certain complex configurations. Their pre-built connectors cover a sizeable range of data sources, reducing the custom coding requirements. Fivetran can handle large volumes of data through its cloud-native architecture, ensuring uptime and high performance.

Fivetran’s usage-based pricing can be an issue for organizations with high data volumes or requiring frequent data syncs. Fivetran also has additional costs that arise when connecting to multiple data sources. Apart from the pricing, Fivetran is designed primarily for cloud-based ELT workflows, which means it has little flexibility for customized or complex transformations during the extract/load steps. Plus, the solution also lacks full ETL support, which means organizations will need supplementary tools for traditional ETL use cases.

Ratings:

4.5/5 (Gartner) | 4.2/5 (G2) |8.2/10 (TrustRadius)

3.   Matillion

Matillion is a data integration tool for building ELT and ETL pipelines, specifically for cloud-based data warehouses. It is known for its user-friendly interface and transformation capabilities, making it one of the reasonable Hevo Data alternatives.

Matillion supports SQL-based transformations and it can integrate with cloud platforms and offer scalability to organizations with its incremental data loading and CDC capabilities, although streaming CDC is reserved only for the Enterprise tier.

Since Matillion is a low-code platform (it offers both no-code and code-based tools) designed for developers which means organizations will require technical resources to build complicated data pipelines. Plus, several users point out insufficient support and tedious work with complex transformations. Several users online have also pointed out that Matillion also has occasional maintenance issues. Matillion has a pay-as-you-go model with four different tiers where customers buy credits that are spent when they use Matillion’s products.

Ratings:

4.4/5 (Gartner) | 4.4/5 (G2) |6/10 (TrustRadius)

4.   Integrate.io

Integrate.io is a cloud-native data integration platform that can simplify ETL and ELT pipeline building. The solution features a user-friendly interface that users can use to connect data sources, transform their data, and load it into destinations. However, unlike other no-code solutions in the list, Integrate.io is a low-code solution and requires a certain level of coding expertise. The platform also offers additional features such as reverse ETL, API generation, and real-time processing.

Despite being a low-code solution, Integrate.io’s interface has been praised for being easy to navigate. The solution also has a responsive support team and it also ensures compliance with data security standards, which is why it’s one of the reliable alternatives to Hevo Data.

Integrate.io may not meet the needs of every organization as it’s primarily a batch-oriented solution with only partial real-time streaming capabilities. Moreover, while it offers a library of pre-built connectors, some less common data sources require custom development. The platform’s pricing is tiered with varying features and support offered in each tier and an accompanying credit system with credits required for hours of usage, which can be limiting or too costly for some organizations.

Ratings:

4.5/5 (Gartner) | 4.3/5 (G2) |7.5/10 (TrustRadius)

5.   Airbyte

Airbyte is an open-source platform with a free open-source version as well as multiple paid versions. The platform helps users build ELT pipelines while also offering a large library of connectors. Due to its open-source nature, the platform is highly customizable and also lets users build custom connectors for their specific needs. The platform also offers transparency and flexibility, making it a good choice fordevelopers.

However, the system has setup complexity and requires technical expertise not just for configuration and installation but also for maintenance. Plus, just as being open-source allows it to offer a vast library of connectors, some of these may be less stable as compared to other commercial solutions.

Airbyte is also less focused on streaming data pipelines and is primarily batch-oriented. Moreover, while the solution is scalable and can support modern cloud-based architectures and handle large data volumes, self-hosting means it demands considerable infrastructure and operational oversight. Moreover, the solution also comes with maintenance overhead as users need to manage updates and fixes.

Ratings:

4.6/5 (Gartner) | 4.5/5 (G2) |8.2/10 (TrustRadius)

6.   Stitch by Qlik

Stitch by Qlik is an ETL service that can help users integrate data from disparate sources into destinations such as data warehouses. Described as a simple yet powerful ETL tool, Stitch is a cloud-based solution that is a division of the data company Talend.

Stitch has been acknowledged for its user-friendly interface, which lets users configure data replication workflows easily. The platform’s plug-and-play design helps users set up and integrate data quickly. Stitch can also manage relational database replication and handle data type conversions. It can also integrate with other ETL tools like dbt (data build tool) to help users in constructing custom data warehouse schemas.

On the flip side, users have expressed issues with the solution’s pricing model, as it’s based on the number of rows processed. This can be a challenge as data volumes grow, especially when integrating full tables which can quickly escalate costs, making it very expensive for organizations dealing with larger datasets. Some users have also noted that Stitch hasn’t received any significant updates or developments—Talend’s acquisition by Qlik doesn’t help either. The support is primarily chat-based, which is not comprehensive enough for certain organizations. Stitch also faces challenges with non-relational databases and has scalability limitations due to its inflexibility with complex data architectures.

Ratings:

3.8/5 (Gartner) | 4.4/5 (G2) |7/10 (TrustRadius)

7.   AWS Glue

AWS Glue is a popular option for organizations that are heavily invested in the AWS ecosystem and are looking for a serverless solution for their ETL/ELT workflows. As a serverless and fully managed solution, AWS Glue eliminates the need for any infrastructure management which makes it easy to deploy ETL workflows. Plus, it can scale as per the workload requirements, making it a good Hevo Data alternative for dynamic data processing.

AWS Glue’s best feature is its compatibility and integration within the AWS ecosystem, such as S3, DynamoDB, Redshift, Athena, and Lake Formation, which lets users streamline workflow within the AWS environment. The solution also facilitates cross-service operations thanks to its pre-built integrations. While AWS Glue has been noted for its learning curve, recent improvements to Glue Studio now offer a visual interface to help non-developers create ETL pipelines.

However, its learning curve, performance challenges, and costs for high-volume operations might deter some users, particularly those with non-AWS-centric architectures. For instance, users frequently note issues with Glue’s PySpark implementation and script troubleshooting. Plus, AWS newcomers often face issues with Glue’s setup and configuration requirements. Some online reviewers have also noted issues such as slower job performance with complex transformations, challenges with debugging, and expensive pricing for large-scale data processing.

Ratings:

4.2/5 (Gartner) | 4.2/5 (G2) |8/10 (TrustRadius)

8.   Informatica

Informatica is a data integration solution primarily designed for enterprises. It features a low-code interface that can be navigated with moderate coding knowledge. While the platform offers robust ETL/ELT capabilities and a host of other features, challenges with its pricing, scheduling capabilities, and slow processing have been noted as areas for improvement.

Informatica supports a variety of data sources and connectors and performs well in both on-premises and cloud data integration scenarios. The platform also supports metadata management, business rules, and data governance, which can help users improve data quality and ensure compliance.

On the other hand, Informatica’s pricing is considered a big drawback, as many users find its licensing structure expensive and difficult to justify. While the interface is user-friendly, the platform has a steep learning curve, which makes its array of features overwhelming, with new users requiring extensive training. Users have also reported performance challenges such as slow processing when dealing with large datasets and complex workflows. Other users have pointed out that Informatica’s debugging and scheduling capabilities can be improved.

Ratings:

4/5 (Gartner) | 4.3/5 (G2) |7.7/10 (TrustRadius)

Concluding Thoughts on Hevo Data Alternatives

If you’re looking to switch from Hevo Data, there are several great options on the market that offer data pipeline creation capabilities as well as a host of other features. However, the final decision largely depends on your specific data integration needs. While solutions like Fivetran and Matillion offer some positives, Astera stands out due to its use of AI, automation, robust data transformations, ease of use, and its truly unified approach to structured and unstructured data management.

Astera can help enterprises create automated data pipelines that ensure real-time data integration for up-to-date analytics and BI at all times. Astera’s next-gen approach to flexible and adaptive data pipelines not only helps organizations stay ahead of the curve but also future-proof their data stack.

All of this and more in a no-code, drag-and-drop interface makes Astera the ideal choice for organizations looking for a reliable Hevo Data alternative.

Book a demo today to see what Astera is all about.