Hevo DataHevo Data offers a powerful, user-friendly no-code data pipeline solution for seamless data integration and activation.
Key takeaways
- •Hevo Data is an end-to-end data pipeline platform that simplifies data integration, cleansing, and activation across over 150 sources with a no-code interface.
- •Best for: Data Warehousing.
- •Pricing model: Freemium. There is a free tier.
- •Biggest strength: Extensive list of 150+ supported data sources.
- •Main limitation: Free tier has limitations on data volume.
- Vendor
- Hevo Data
- HQ
- San Francisco, USA
- Founded
- 2017
- Pricing
- Freemium
Information verified from official product sources.
What is Hevo Data?
Hevo Data is an end-to-end data pipeline platform that simplifies data integration, cleansing, and activation across over 150 sources with a no-code interface.
Hevo Data offers an end-to-end data pipeline platform that helps businesses integrate, clean, and activate their data. It supports over 150 data sources with a no-code interface.
Have we tested Hevo Data hands-on?
Not yet. This listing is compiled from Hevo Data’s public documentation, pricing pages and changelogs — nothing on this page is presented as a hands-on test result.Hevo Data sits in our testing queue; when we run it, this section will state what we tested, how long for, and what it actually produced. How we review AI tools.
Who is Hevo Data for?
- Data Warehousing: Automate the process of moving data from various sources into your data warehouse for analytics and reporting.
- Business Intelligence: Consolidate data from disparate systems to fuel your business intelligence dashboards and gain actionable insights.
- Marketing Analytics: Integrate marketing platform data to understand campaign performance and customer journeys.
- Customer Data Platform (CDP): Build a unified view of your customers by bringing together data from sales, support, and marketing.
How does Hevo Data work?
- 150+ pre-built connectors
- ETL and ELT capabilities
- Data transformation and cleansing
- Schema mapping and management
- Real-time data synchronization
- Data governance and security
- Monitoring and alerting
What does Hevo Data cost?
| Plan | Price | Best for |
|---|---|---|
| Free | $0 | Small teams or individuals learning the platform, limited data volume. |
| Starter | Custom | Growing businesses with moderate data integration needs. |
| Business | Custom | Enterprises requiring advanced features and higher data volumes. |
Prices as of , taken from Hevo Data’s public pricing page. Vendors change pricing without notice — check before you buy.
What are the pros and cons of Hevo Data?
- Extensive list of 150+ supported data sources
- Intuitive no-code interface for ease of use
- Automated data transformation, cleansing, and enrichment
- Real-time data replication for up-to-date insights
- Scalable architecture for growing data needs
- Free tier has limitations on data volume
- Advanced customization might require developer expertise
- Can be pricier than some open-source alternatives at scale
What are Hevo Data's limitations?
- Free tier usage caps
- Dependency on cloud infrastructure
How does Hevo Data compare to Fivetran?
| Feature | Hevo Data | Fivetran | Stitch |
|---|---|---|---|
| Pricing Model | Hevo Data | Freemium | Custom |
| No-Code Interface | Hevo Data | Yes | Yes |
| Pre-built Connectors | Hevo Data | 150+ | 100+ |
What are the best alternatives to Hevo Data?
How do I get started with Hevo Data?
- Sign up for a Hevo Data account and choose a plan.
- Connect your data sources using the pre-built connectors.
- Configure your data destination and set up transformations if needed.
- Monitor your data pipelines and analyze your integrated data.
How can I use Hevo Data with SynaBot?
Use a SynaBot assistant to produce the thinking, then move the output into Hevo Data for execution. Every SynaBot assistant is free to try on the Lite plan.
- Content Creator (ZARA) — drafts the copy, captions and campaign angles you'll run through Hevo Data.
- Business Planner (VIKRAM) — decides whether Hevo Data belongs in your stack and what it should replace.
- Project Manager (PACE) — turns the rollout of Hevo Data into owned, dated tasks.
Browse the full AI assistant roster, grab a starting point from the prompt library, or have us wire it together with our AI consultancy service.
Frequently asked questions about Hevo Data
What is Hevo Data?
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Hevo Data is a cloud-based, end-to-end data pipeline platform that automates data integration, cleansing, and activation from diverse sources into a centralized repository.
Is Hevo Data free?
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Hevo Data offers a Freemium pricing model. There is a free tier available with limitations on data volume, and paid plans for higher usage and advanced features.
What kind of data sources does Hevo Data support?
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Hevo Data supports over 150 data sources, including databases, SaaS applications, cloud storage, and streaming platforms.
Do I need to write code to use Hevo Data?
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No, Hevo Data features a no-code interface, making it accessible for users without extensive programming knowledge to build data pipelines.
What are the benefits of using Hevo Data?
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Benefits include simplified data integration, automated data transformations, real-time data availability, and a user-friendly no-code experience.
How does Hevo Data handle data transformations?
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Hevo Data provides automated data cleansing, enrichment, and transformation capabilities, allowing you to prepare your data before it lands in your destination.
What destinations can Hevo Data send data to?
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Hevo Data can send data to various destinations like data warehouses (Snowflake, Redshift, BigQuery), data lakes, and other databases.
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Prompts to try with Hevo Data
- Schema Planning Assistant — Quick PlanThis prompt acts as an expert Data Architect, generating comprehensive schema plans for various projects. It details entities, relationships, data types, and scaling strategies for both SQL and NoSQL databases.
- Data Cleaning Workflow (Website)Clean and normalize messy web-scraped data into a structured, analysis-ready format using defined schemas and cleaning rules. Ideal for data engineers and Python specialists.