Dataddo vs Hevo Data
An independent, review-free comparison compiled by the SaaSTracker editorial team. Both products are profiled in full, and neither can pay for placement here.
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The short answer
Both sides assessedDataddo compared with Hevo Data
Hevo is the step up once a company has a warehouse: CDC from production databases, Python and dbt transformations, and SOC 2 and HIPAA, from $299 a month. It writes only to warehouses and databases, never directly to dashboards, which is precisely Dataddo's strength. Teams reporting straight into Looker Studio should stay with Dataddo; teams with a warehouse and an analyst writing SQL will outgrow it into Hevo.
Hevo Data compared with Dataddo
Dataddo is built for less technical buyers and can write directly to dashboards and business tools, priced per flow from about $99 a month. Hevo writes only to warehouses and databases, adds CDC, Python and dbt transformations, and deeper security, from $299 a month. A marketing team reporting in Looker Studio without a warehouse should take Dataddo; a company with a warehouse and an analyst who writes SQL should take Hevo.
Choose Dataddo if
Small and mid-sized businesses, marketing teams, and agencies that need reliable automated reporting from many sources without a data engineer, particularly where the destination is a dashboard or spreadsheet rather than a warehouse.
Choose Hevo Data if
Small data teams and technically capable analysts at growing companies who have a warehouse (Snowflake, BigQuery, Redshift, Databricks) and want managed, reliable replication from SaaS tools and production databases at a predictable monthly price.
Side by side
13 attributes| Attribute | Dataddo | Hevo Data |
|---|---|---|
| Category | CDP | CDP |
| Starting price | Free for a small number of flows; paid plans from roughly $99 per month | $0 (Free, 1 million events a month); Starter from $299 per month, or $265 per month billed annually, for 5 million events |
| Pricing model | Subscription priced by number of active flows and sync frequency, with unlimited users and sources on paid plans. A free tier covers a small number of flows, and higher tiers add frequency, volume, and support. | Tiered subscriptions metered on events, where each row inserted, updated, or deleted in the destination counts as one event. Each tier has a slider of event quotas with published monthly and annual prices; usage above the quota is charged on demand per 1,000 events. |
| Free plan | A small number of flows with limited frequency, suitable for one recurring report | 1 million events a month on free sources only, up to 5 users, 1-hour scheduling, no credit card required |
| Free trial | Free plan plus a trial of paid features | 14 days |
| Best for | Small and mid-sized businesses, marketing teams, and agencies that need reliable automated reporting from many sources without a data engineer, particularly where the destination is a dashboard or spreadsheet rather than a warehouse. | Small data teams and technically capable analysts at growing companies who have a warehouse (Snowflake, BigQuery, Redshift, Databricks) and want managed, reliable replication from SaaS tools and production databases at a predictable monthly price. |
| Setup time | Minutes per flow once source credentials exist. A full reporting stack covering a dozen sources is typically configured in a day. | Minutes for a first SaaS pipeline, and a day or two for production database replication with CDC, since log-based capture needs database settings, a replication user, and sometimes network tunnels. Historical loads of large tables take longer than the setup itself. |
| Learning curve | Low. The interface is aimed at marketers and analysts, and the concepts, source, flow, destination, schedule, are the whole model. | Low for creating pipelines through the interface. Moderate for the parts that decide cost and correctness: choosing ingestion modes, understanding how updates and deletes count as events, and building models or dbt projects on top. |
| Platforms | Web application, Cloud service, API access on higher tiers | Web application (managed cloud), AWS Marketplace, Snowflake Marketplace, REST API |
| Compliance | GDPR, CCPA, SOC 2, ISO 27001 | SOC 2 (all five Trust Services Criteria), HIPAA (BAA available), GDPR (DPA available), CPRA, DORA readiness |
| Founded | 2018 | 2017 |
| Headquarters | Prague, Czech Republic | Bangalore, India, and San Francisco, California, United States |
| Ownership | Private, independent | Venture-backed (Sequoia Capital India, Qualgro, Lachy Groom, Chiratae Ventures) |
Strengths and limitations
Dataddo
Strengths
- Delivers directly into dashboards and spreadsheets, not only warehouses, which matches how small businesses work.
- Genuinely no-code and fully managed, requiring no engineering involvement at all.
- Predictable per-flow pricing with unlimited users and sources.
- Data blending before delivery removes joins from the dashboard layer.
Limitations
- Transformation is basic; anything complex belongs in a warehouse with dbt.
- No self-hosting, open source, or custom connector development.
- Less suited to very high volume replication than dedicated ELT platforms.
- Not a behavioral event collection tool, so it does not replace a CDP for product analytics.
Hevo Data
Strengths
- Published tiers with exact monthly and annual prices at each event level, from free to 100 million events, which makes the bill predictable in a category known for surprises.
- A genuinely free plan with 1 million events a month and no credit card, plus a 14-day trial.
- Log-based change data capture for the major databases, so production data can be replicated without heavy queries.
- Python, drag-and-drop, SQL, and dbt transformations in one product.
Limitations
- Inbound only: no website event collection, and reverse ETL (Activate) is closed to new customers and limited to HubSpot and Salesforce for existing ones.
- The free plan is limited to free sources, so most real pipelines begin at $299 a month.
- Event counting includes updates and deletes, so high-churn tables can burn through quota faster than row counts suggest.
- The on-demand rate for events above quota is not printed on the pricing page.
Pricing compared
Dataddo
Subscription priced by number of active flows and sync frequency, with unlimited users and sources on paid plans. A free tier covers a small number of flows, and higher tiers add frequency, volume, and support.
- Free$0
- Data to DashboardsFrom about $99
- Data Anywhere and HeadlessFrom about $199
Dataddo is priced for businesses whose alternative is manual copying rather than a data engineering team, and against that alternative it is straightforwardly cheap. The per-flow model protects small accounts from the row-based escalation that makes ELT platforms awkward for agencies. Against Fivetran or Airbyte it offers less depth and no extensibility, but for the reporting automation that most small businesses actually need, the extra capability would go unused.
Hevo Data
Tiered subscriptions metered on events, where each row inserted, updated, or deleted in the destination counts as one event. Each tier has a slider of event quotas with published monthly and annual prices; usage above the quota is charged on demand per 1,000 events.
- Free$0
- Starter$299 ($265 billed annually)
- Professional$849 ($750 billed annually)
- Business CriticalQuoted
Hevo's pricing is its argument. A small data team replicating a handful of SaaS tools and one production database can usually live inside Starter's 5 to 20 million events for $299 to $499 a month, and knows that number in advance, which is not something Fivetran's row-based or Airbyte Cloud's volume-based billing reliably offers. The security package (SOC 2 across all five criteria, HIPAA, regional processing at no extra cost) is better than the price point suggests. The catch is the floor: $299 a month is real money for a small business, and the free plan's restriction to free sources means most useful pipelines start on Starter. For a company without a warehouse, Dataddo's dashboard-first plans from about $99 are the better value.
Editorial verdict on each
Dataddo
Ease of UseDataddo understands something most data integration vendors ignore: a great many businesses do not have a warehouse and never will, but they still spend hours every month copying numbers between platforms. By treating a Looker Studio dataset or a Google Sheet as a first-class destination, and by pricing per flow with unlimited users, it makes reporting automation affordable for exactly the buyers other tools price out. It is not deep, not extensible, and not the right choice for a data engineering team. For a marketing team, an agency, or a small company with more platforms than analysts, it removes a recurring chore reliably and cheaply, which is a more useful thing to buy than capability nobody will use.
Read the full Dataddo profileHevo Data
Hevo is the ELT tool for a small data team that wants Fivetran's managed convenience without Fivetran's billing uncertainty. It publishes every step of its pricing, free to 1 million events and $299 a month ($265 annually) for 5 million on Starter, keeps pipelines running through a quota overrun instead of dropping data, and backs that with change data capture, dbt and Python transformations, and a security package (SOC 2 across all five criteria, HIPAA, regional processing) that is stronger than the price suggests. Be clear about what it is not: it collects no website events, its reverse ETL is closed to new customers, and it writes only to warehouses and databases. A small business without a warehouse and an analyst should not start here. One that has both, and a growing list of SaaS tools to consolidate, will find few better-value ways to fill the warehouse.
Read the full Hevo Data profileDataddo profile last reviewed 2026-08-22; Hevo Data last reviewed 2026-09-26. Pricing is compiled from public sources and can change without notice. See our methodology.
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Frequently asked questions
6 questionsWhat is the difference between Dataddo and Hevo Data?
Hevo is the step up once a company has a warehouse: CDC from production databases, Python and dbt transformations, and SOC 2 and HIPAA, from $299 a month. It writes only to warehouses and databases, never directly to dashboards, which is precisely Dataddo's strength. Teams reporting straight into Looker Studio should stay with Dataddo; teams with a warehouse and an analyst writing SQL will outgrow it into Hevo.
Is Dataddo or Hevo Data cheaper?
Dataddo starts at Free for a small number of flows; paid plans from roughly $99 per month. Hevo Data starts at $0 (Free, 1 million events a month); Starter from $299 per month, or $265 per month billed annually, for 5 million events. The billing models differ, so the entry price is rarely the whole cost. Dataddo pricing model: Subscription priced by number of active flows and sync frequency, with unlimited users and sources on paid plans. A free tier covers a small number of flows, and higher tiers add frequency, volume, and support. Hevo Data pricing model: Tiered subscriptions metered on events, where each row inserted, updated, or deleted in the destination counts as one event.
Does Dataddo or Hevo Data have a free plan?
Dataddo has a free plan. A small number of flows with limited frequency, suitable for one recurring report. Trial terms: Free plan plus a trial of paid features. Hevo Data has a free plan. 1 million events a month on free sources only, up to 5 users, 1-hour scheduling, no credit card required. Trial terms: 14 days.
Who should choose Dataddo?
Small and mid-sized businesses, marketing teams, and agencies that need reliable automated reporting from many sources without a data engineer, particularly where the destination is a dashboard or spreadsheet rather than a warehouse.
Who should choose Hevo Data?
Small data teams and technically capable analysts at growing companies who have a warehouse (Snowflake, BigQuery, Redshift, Databricks) and want managed, reliable replication from SaaS tools and production databases at a predictable monthly price.
What are the best alternatives to Dataddo and Hevo Data?
SaaSTracker profiles 16 products in Customer Data Platforms. Every profile is compiled from primary sources, so a shortlist can be built from pricing, limitations, and fit rather than from star ratings.