Sold by: Hevo Data
Hevo is the trusted choice of over 2,500 data teams across over 40 countries to replicate data from all their sources into a cloud data warehouse. Using Hevo, you can set up a data pipeline in just 3 simple steps and replicate data in as little as 5 minutes. Moreover, Hevo's CDC (change data capture) feature ensures that any changes made to data sources are automatically updated in the warehouse. Hevo automates schema management; any changes in the source schema are automatically updated in the destination schema, eliminating the need for manual schema management. Hevo also includes built-in pre-load and post-load transformation capabilities. The pre-load transformation formats and cleans the data on the fly, while the post-load transformation allows you to run SQL-based transformations and dbt Core models in sync with your pipelines on the data warehouse.
4.4
Overview
Hevo is a zero-maintenance data pipeline platform that automatically syncs data from 150+ data sources, including SQL, NoSQL, and SaaS sources, to Redshift and other cloud warehouses and transforms it for analytics - saving data teams from the manual headache of managing pipelines.
Hevo is trusted by over 2500 data teams across more than 40 countries to integrate all their data into a warehouse. With its simple and intuitive interface, setting up data pipelines on Hevo is a breeze; it takes just 3 simple steps and only 5 minutes. Plus, Hevo's CDC (change data capture) feature ensures that any changes made to data sources are automatically updated at the destination.
One of the key advantages of Hevo is its automated schema management, which automatically changes the destination schema as your source schema evolves or changes. This eliminates the need for manual intervention to update schemas. Hevo also comes with in-built pre-load and post-load transformation capabilities. The pre-load transformation formats and cleans the data on-the-fly and the post-load transformation automatically runs models (also supports dbt Core projects) to prepare the data for analytics. All of this saves hours of engineering effort for data teams in manually integrating and transforming data.
Hevo offers transparent usage-based pricing. For pricing visit https://hevodata.com/pricing/consumption/ .
Highlights
- End-to-end Automation - Hevo automates the entire ELT process, from integrating data into the warehouse to transforming it for analytics.
- Highly Reliable - Hevo offers 100% data accuracy, 99.9% uptime, and low latency and easily scales without any impact on performance.
- Fully Secure - Hevo complies with HIPAA, SOC 2, and GDPR and offers secure connection options like SSH, Reverse SSH, and VPN.
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
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Dimension | Description | Cost/month | Overage cost |
|---|---|---|---|
Starter Plan | Pay-As-You-Go, compare plans at hevodata.com/pricing/consumption | $0.01 | |
Business Plan | Pay-As-You-Go, compare plans at hevodata.com/pricing/consumption | $0.01 |
Dimensions summary
You choose between two plans, each billed on a pay-as-you-go basis through units. Both charge by events, where an event is each record inserted, updated, or deleted in your destination. The Starter Plan and Business Plan differ in the capacity and capabilities included, so you pick the tier that fits your needs. Pricing scales with actual data movement rather than a flat fee. If your event usage rises above your plan's quota, the extra volume is treated as On-Demand and charged on top of your plan.
Top-of-mind questions for buyers
An event is each individual record inserted, updated, or deleted in your destination, such as a data warehouse or database. If one row changes ten times, that counts as ten events. This granular counting makes your usage easier to forecast than flat row-based metrics.
No. Historical loads and backfills run without added billing impact. Charges apply only to the inserts, updates, and deletes your live systems generate. This keeps your event usage tied to ongoing data movement rather than one-time bulk loads.
Both bill by events on a pay-as-you-go basis. The plans differ in included capacity and capabilities, so you select the tier matching your data volume and feature needs. You can build any number of pipelines from a single connector on either plan.
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Hevo integrates with Intercom to offer you "within-the-product" help in the form of Live Chat with our Support team.
Click the "Chat" icon at the bottom of the Navigation Bar to connect with the Support team to initiate a request or submit a query. You can also scroll through your previous chats.
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Similar products
Hevo is the trusted choice of over 2,500 data teams across over 40 countries to replicate data from all their sources into a cloud data warehouse. Using Hevo, you can set up a data pipeline in just 3 simple steps and replicate data in as little as 5 minutes. Moreover, Hevo's CDC (change data capture) feature ensures that any changes made to data sources are automatically updated in the warehouse. Hevo automates schema management; any changes in the source schema are automatically updated in the destination schema, eliminating the need for manual schema management. Hevo also includes built-in pre-load and post-load transformation capabilities. The pre-load transformation formats and cleans the data on the fly, while the post-load transformation allows you to run SQL-based transformations and dbt Core models in sync with your pipelines on the data warehouse.
Streamkap CDC is streaming change data capture for real-time database replication and in-stream processing. Get sub-second latency to power amazing customer and employee experiences.
Customer reviews
Swathi S.
Empowered Our Data Pipeline with Outstanding Support
Reviewed on Jul 31, 2026
Review provided by G2
What do you like best about the product?
I like Hevo Data's good customer support, which is available any time and was particularly helpful since Hevo was new to us. The guidance from the Hevo team made the initial setup very easy. I also appreciate the feature that allows us to try out our own coding in the background for pipelines. Overall, I find Hevo Data to be a good tool.
What do you dislike about the product?
When there are new accounts created in Twilio, even though these accounts appear in the account table structure, the pipeline for each account needs to be added manually. This is because of a secret key issue in Twilio. I think there should be a way in the background to improve the code to make it dynamic.
What problems is the product solving and how is that benefiting you?
Hevo Data helps us streamline data fetching from Twilio and storing it in Snowflake, saving time in code development for data handling.
Automotive
Responsive Support, Easy Setup, and Plenty of Database & API Integrations
Reviewed on Jul 08, 2026
Review provided by G2
What do you like best about the product?
Responsive support. Easy to use. Plenty of integrations to data bases and APIs
What do you dislike about the product?
No ability to do transformations. Needing table prefix.
What problems is the product solving and how is that benefiting you?
Bringing in CDC data reliably and cost effective on old MSSQL databases where AWS DMS would constantly fail and cost more.
Anonymous
Streamlines ETL with Responsive Support
Reviewed on Jul 08, 2026
Review provided by G2
What do you like best about the product?
I like Hevo Data because it takes off our data engineering tasks and makes the implementation easy. Their proactiveness with response and solving issues is something I really appreciate. The Hevo team is very responsive whenever any issue is raised, and they are agile in their communication.
What do you dislike about the product?
They can have much better documentation on implementation for new users.
What problems is the product solving and how is that benefiting you?
Hevo Data takes off our data engineering tasks, easing our ETL pipeline from AWS to Snowflake.
Marketing and Advertising
Easy Pipeline Setup, Great Performance, and Outstanding Hevo Support
Reviewed on Jul 08, 2026
Review provided by G2
What do you like best about the product?
Pipelines are very easy to set up and configure, and we have many platforms available right from the start. Ad platforms like Google Ads and Meta can be a pain to maintain, so with Hevo we can rely on their continuous support instead. Speaking of support, we’ve had only great experiences—not just with chat support, but also with second- and third-level support.
Performance is great and usually reflects the data freshness provided by the connected platform.
Performance is great and usually reflects the data freshness provided by the connected platform.
What do you dislike about the product?
Pricing is okay overall, but on-demand events can be costly, and depending on your workload, it can get expensive. That said, depending on the platforms you have connected, it still feels very much worth it when you compare the cost of manually maintaining API connectors versus just using Hevo.
What problems is the product solving and how is that benefiting you?
At our core, we’re a data-driven company and we’re always optimizing our processes. Before using Hevo, we maintained our data pipelines ourselves, but frequent API changes and unreliable APIs pushed us to look for another solution. With Hevo, we didn’t have to worry even once about a broken data pipeline. That reliability has led to outstanding data availability, which benefits everyone across teams.
Logistics and Supply Chain
Hevo makes making data pipelines a breeze
Reviewed on Jul 07, 2026
Review provided by G2
What do you like best about the product?
Hevo has been really helpful in streamlining the process of creating data pipelines to the point that developers can easily stand up their own replication pipelines for their services without additional intervention needed from data engineers.
There's a wide variety of supported data sources and destinations like RDS and Snowflake which is what we use in our tech stack. Setup is really simple and live chat support is very responsive in the rare instances where further assistance is needed. We have all kinds of different use cases that are surprisingly supported, such as even a Google drive spreadsheet which enables data needs from even non-technical teammates.
There's a wide variety of supported data sources and destinations like RDS and Snowflake which is what we use in our tech stack. Setup is really simple and live chat support is very responsive in the rare instances where further assistance is needed. We have all kinds of different use cases that are surprisingly supported, such as even a Google drive spreadsheet which enables data needs from even non-technical teammates.
What do you dislike about the product?
I think the simplicity comes at a cost of flexibility in terms of certain options that leave a bit to be desired. For example, API-based polling options are quite rigid when one expects that to be a little more free-form given the open-endedness of supporting a vague set of requirements there.
Another poor experience is if things really are not going well an often suggested solution is to run a whole new historical load which can take a very long time to resolve for large data sets.
Another poor experience is if things really are not going well an often suggested solution is to run a whole new historical load which can take a very long time to resolve for large data sets.
What problems is the product solving and how is that benefiting you?
Hevo solves data replication needs for us without needing to involve a large data engineering team. It's quick to setup and pipe our live service data into a data lake for analysis.