Summary IconKey Takeaways
  • Fivetran’s pricing scales with usage and can get expensive fast: The more your data changes, the more you pay, making costs hard to predict as workloads grow.
  • Billing is based on Monthly Active Rows (MAR): Every row inserted, updated, or deleted counts, not just total data volume.
  • Plans start at $500 per million MAR: Costs rise to $667 on Enterprise and $1,067 on Business Critical, with faster syncs and stronger SLAs at higher tiers.
  • Every connector is billed separately: With 700+ sources and 200+ destinations, adding connections increases the total cost.
  • A $5 minimum per connection applies (2026 update): Even low-usage pipelines now incur a baseline monthly cost.
  • Certain data types inflate costs: Nested data (e.g., JSON), frequent schema changes, and real-time syncs can multiply row counts and drive up MAR usage unexpectedly.
  • Costs rise quickly at scale: Workloads of 5M–25M MAR can range from $2,500 to $26,000+ per month, depending on connectors and plan.
  • Hevo offers a predictable alternative: Event-based, all-inclusive plans with 150+ connectors and no hidden fees reduce cost volatility and billing surprises.

Fivetran’s 2026 update introduced a $5 minimum charge per connection for usage between 1 and 1M monthly active rows (MAR), meaning even low-usage pipelines now come with a baseline cost.

So how much will Fivetran actually cost you as your data grows?

Built around MAR, costs scale with how much data you sync and how frequently it changes, which makes cost forecasting a challenge over time. While the platform is known for simplifying data integration, its pricing model needs understanding.

In this guide, we break down Fivetran’s pricing plans, key cost drivers, and real-world implications to help you track costs at scale. Let’s dive in!

If you need a detailed video Fivetran’s Pricing guide and how the MAR pricing model is unpredictable, check out our video on MAR Pricing.

What Is Fivetran’s Pricing Model?

Fivetran follows a usage-based pricing model, where your cost depends primarily on the amount of data you move from your source systems to your destination.

That primarily gets measured with Monthly Active Rows (MAR). MAR refers to the number of distinct rows synced from a source to a destination during a calendar month. Fivetran determines this by tracking the distinct primary keys that are added, updated, or deleted during the month.

For example, if a table contains 1 million rows but only 200,000 distinct rows are added or updated during the month, your usage for that table would be based on those 200,000 active rows rather than the total size of the table.

Fivetran also uses usage-based pricing for other workloads, including transformations and activations. This means your final bill depends not only on how much data you move, but also on how much transformation and activation activity you generate.

What Is Fivetran’s Multi-Variable Pricing and How Does It Work in 2026?

Your Fivetran monthly bill depends on multiple usage-based variables across connections, transformations, and activations.

How Fivetran Bills Connections 

For connections, each connection is billed separately based on its Monthly Active Rows. The cost depends on the MAR generated by that connection, your pricing plan, and your applicable spend rate. This means two companies using Fivetran can end up paying very different amounts depending on how much data flows through each of their connections.

Starting in January 2026, Fivetran also introduced a minimum charge for standard connections. Connections generating between 1 and 1 million MAR per month have a minimum charge of $5. However, this doesn’t apply to connections with no paid MAR or accounts on the free plan.

How Much Do Transformations Cost in Fivetran?

Transformations are billed separately based on the number of successful monthly model runs, which is one of the downsides of Fivetran. The first 5,000 model runs each month are free. After that, Fivetran charges between $0.002 and $0.01 per model run, depending on the total number of monthly model runs.

How Are Activations Measured and Billed in Fivetran?

Activations have their own usage charges as well. They are measured using MAR, but activation usage follows a separate consumption curve from connection usage.

So your final Fivetran bill doesn’t depend on a single number, and instead changes based on:

  • MAR generated by each connection
  • The number of active connections
  • Your Fivetran pricing plan
  • Monthly transformation model runs
  • Activation usage

This is where Fivetran’s multi-variable pricing becomes difficult to forecast. As your data volume grows, more rows can become active, transformation activity can increase, and activation usage can change simultaneously.

A spike in data flowing through your pipelines during a peak month can therefore increase several parts of the bill at once, making the final monthly cost difficult to predict in advance.

What Are Fivetran’s Pricing Plans?

1. Free Plan

Fivetran’s Free Plan gives you the following monthly usage limits:

  • 500,000 MAR for connections
  • 3,500 MAR for activations
  • 5,000 monthly model runs for transformations

It also includes 15-minute syncs, database connectors, REST API access, and other Standard Plan capabilities.

The Free Plan is primarily designed for teams with very low data volumes or companies that want to test Fivetran with a smaller portion of their data before moving to a paid plan.

Once your usage exceeds these limits, you will need to move to one of Fivetran’s paid plans.

2. Standard Plan

The Standard Plan provides Fivetran’s core data movement capabilities and is for startups that need to move data across limited systems.

It includes:

  • 15-minute syncs
  • 700+ fully managed connectors
  • 200+ activation destinations
  • Unlimited users
  • dbt Core integration
  • Role-based access control
  • REST API access
  • SSH tunnels for encryption

Fivetran positions Standard for teams that need regular database and SaaS data movement but do not require the faster sync speeds, enterprise database connectors, or additional governance controls available in the higher plans.

The amount you pay is not a fixed monthly subscription. Your cost depends on your usage and the spend rate applicable to the Standard Plan.

3. Enterprise Plan

The Enterprise Plan includes everything available in Standard, along with additional capabilities for companies that need faster data delivery and greater control over their data infrastructure.

Additional features include:

  • 1-minute syncs
  • Enterprise database connectors
  • Custom roles
  • SCIM and user provisioning
  • VPN tunnels on annual contracts
  • Hybrid deployment
  • Choice of cloud provider
  • Fivetran Activations’ Audience Hub

Fivetran recommends their Enterprise plan for organizations that require high-volume replication, faster syncs, enterprise database sources, and more granular governance and access controls.

Because Enterprise has its own spend rate, the same amount of MAR can cost more than under the Standard Plan.

4. Business Critical Plan

Business Critical is Fivetran’s highest-tier plan and is primarily for organizations with stricter security, compliance, and data protection requirements.

It includes everything in Enterprise, and additional features such as:

  • Encryption keys managed by customers
  • PCI DSS Level 1
  • Private networking

The business-critical plan is for large enterprises and organizations that handle sensitive or regulated data, including companies in healthcare, insurance, and financial services.

What Makes Your Fivetran Bill Unpredictable?

As we discussed earlier, your Fivetran bill is not determined by one fixed cost. Several usage-based charges can change from one month to another, making it difficult to know exactly what you will pay as your data volume grows.

Before we get into the nitty-gritty, here’s one Fivetran customer on G2 explaining why the bill catches teams off guard.

We investigated why the pricing feels so unpredictable, and here are the reasons we found:

Usage-Based Pricing

Fivetran charges based on the amount of data you use. For connections, this is measured using Monthly Active Rows. While the effective price per MAR decreases as usage increases, your total bill still continues to increase with data volume.

This becomes more important as you scale. A company moving ten times more data may receive a lower effective MAR rate, but it is still processing significantly more billable usage. If transformation and activation activity increase simultaneously, those costs increase separately as well. 

On the other hand, event-based pricing models usually don’t lead to such price surges. 

Each Connection Has Its Own Cost Curve

Fivetran calculates usage and cost at the connection level. Each connection follows its own usage curve rather than combining all of your MAR into one account-level volume tier.

This means you need to estimate the MAR for every connection individually to understand your expected bill. The easiest way to get a rough estimate is to enter each connection and its expected MAR into Fivetran’s Pricing Estimator before committing to a plan.

Settings Can Increase Your MAR

Some configuration choices can increase your paid usage. One example is History Mode.

With History Mode enabled, Fivetran stores different versions of a record as it changes. Each new version inserted into the destination can count toward paid MAR. For tables where records change frequently, this can result in considerably higher MAR than simply maintaining the latest version of each record.

Fivetran also counts separate connections independently. If the same source is connected to multiple destinations, the MAR generated by each connection is counted separately.

Transformations Are Charged Separately

Fivetran provides 5,000 model runs per month for free and charges separately for successful model runs above that limit.

The charge ranges from $0.002 to $0.01 per model run, depending on your total monthly transformation usage. Every successful model run counts, including repeated runs of the same model.

This can become a high additional cost as your data operations grow. More data can mean more transformation jobs, more models, and more frequent runs, all of which sit on top of what you are already paying to move the data.

There Is a Minimum Charge for Low-Volume Connections

From January 2026, Fivetran applied a $5 minimum monthly charge to standard connections generating between 1 and 1 million MAR.

So, even if you have several connections moving very little data, each can still carry its own minimum charge. Fivetran itself recommends pausing low-value connections where the analytical value does not justify the additional usage.

Your Costs Can Become Harder to Control as You Scale

Usage-based pricing is fairly simple when your data volume is low and stable. The challenge becomes more apparent as your business grows and the volume of data moving through your pipelines increases rapidly.

Your connection MAR can increase, your transformation workload can grow, and your activation usage can increase simultaneously.

This means growth in your data infrastructure can translate directly into growth in your Fivetran bill. Even when the effective unit price declines at higher volumes, you still need to continuously monitor usage across multiple pricing variables to understand what next month’s bill could look like.

Why Is Pricing Predictability Important?

Predictable pricing makes it easier for companies to budget their data infrastructure costs, forecast future expenses, and understand how much additional spend will be required as the business scales.

If your data platform costs remain relatively predictable, finance and data teams can plan their annual budgets based on expected growth rather than constantly adjusting them based on monthly usage.

The challenge with a multi-variable usage model is that changes in your underlying data can affect several parts of the bill at once. Fivetran itself notes that MAR can increase due to changes in the source, user actions, or a connection being resumed after being paused.

A peak month with significantly more data flowing through your systems can, therefore, result in a much higher bill than an average month. And if transformations and activations also increase during the same period, the difference becomes even larger.

For a growing company, this makes forecasting more difficult. You are not only estimating how much your business will grow; you also need to estimate how that growth will translate into connection MAR, transformation runs, activation MAR, and the number of connections you will need.

This is why pricing predictability becomes increasingly important as data volume grows. Companies need to know what their data infrastructure will cost not only today, but also what they should expect to spend as the business scales.

Worried about unpredictable Fivetran bills?

Hevo’s free Snowflake-native app shows exactly where your MAR spend is going, broken down by connector, schema, or table.
View on Snowflake Marketplace
Worried about unpredictable Fivetran bills?

How Does Hevo’s Pricing Work?

Pricing predictability becomes a bigger concern once your data volume reaches a certain scale. Hevo handles this by offering two pricing models based on the amount of data you move.

Starter and Professional Plans for Low Data Volumes

For companies with lower data volumes, Hevo offers usage-based pricing through its Starter and Professional plans. These plans work best for startup companies, where you have predictable, low-volume data.

An Event in Hevo is any fundamental unit of data that can be migrated from a Source system to a Destination database or data warehouse. For example, each row from your MySQL Source is replicated as a single Event in your Amazon Redshift data warehouse.

Starter and Professional work well for companies processing around up to 50 million Events per month, where usage-based pricing still gives you the flexibility to pay based on the amount of data you move.

The pricing model changes once data volume increases significantly.

Enterprise Plan

For companies processing more than 100 million Events, Hevo offers an Enterprise plan with a fixed price for unlimited data volume. Instead of your bill continuing to increase as the amount of data flowing through your Pipelines grows, the price remains fixed.

So, if a pipeline handles significantly more data in month 10 than it did in month 1, the increase in volume does not automatically increase the amount you pay.

There are three main differences with this model:

  • Fixed pricing for unlimited data volume: Your price is not directly tied to every additional event once you move to the Enterprise plan.
  • One rate across connectors: Hevo does not apply separate pricing rates based on which connector you use.
  • No separately priced add-ons: Features are included in the plan rather than billed as separate usage charges.

This gives companies with high and growing data volumes a clearer view of the cost of their data integration infrastructure. Instead of continuously forecasting how additional usage will affect the next invoice, the cost remains predictable even as the amount of data you move increases.

Curious about Fivetran? Don’t miss our detailed Fivetran review blog.

Tired of guessing what next month's data bill will be?
Talk to the Hevo team about pricing you can forecast as your volume grows.

Hevo vs. Fivetran: Which Is More Predictable?

Let’s take an enterprise company that uses 20 different data connections and processes a high volume of data every month.

With Fivetran, estimating the monthly bill requires the company to account for several different pricing variables. This includes the MAR generated by each connection, transformation usage, activation usage, the minimum charge applied to eligible connections, and any additional usage created as data volumes change.

As the business grows and data volume increases, these variables can change independently. A connection that processes more MAR increases the connection cost, while a higher transformation workload or increased activation usage adds separate charges on top of it.

So even if the company knows roughly how much data it expects to move, the final monthly bill can still vary based on how that usage is distributed across connections and workloads.

Hevo’s Enterprise plan takes a different approach.

For companies with high data volumes, Hevo offers fixed pricing with unlimited data volume. Instead of calculating the bill based on how much additional data passes through each pipeline, the company agrees to a fixed price.

This means that if the amount of data processed increases significantly over time, the price does not increase simply because more data is flowing through the pipelines.

There is also no separate pricing curve for different connectors, and features are included within the Enterprise plan rather than being added as separate usage-based charges.

The difference comes down to how the two models behave as data volume grows.

With Fivetran, increased usage can affect multiple components of the bill simultaneously. With Hevo Enterprise, the cost remains fixed even as data volume increases, making it easier for companies to know what they will pay each month and to plan their data infrastructure spending.

What Should You Do Before Your Next Fivetran Renewal?

If pricing has become one of your biggest concerns with Fivetran, your renewal is a good time to evaluate whether the existing setup still makes sense for your business.

Before renewing, compare Fivetran with other ETL platforms to ensure they provide the features, security, support, and reliability your team needs. But don’t compare the subscription price alone.

Use the following checklist before making a decision:

  • Review your current Fivetran spend: Look at how much you are paying for connections, transformations, activations, and other usage-related charges.
  • Estimate how your bill could change as you scale: Consider how much your data volume is expected to grow over the next 12–18 months and how that could affect your monthly cost.
  • Compare alternative ETL platforms: Shortlist platforms that provide the features, connector coverage, security, and support your team requires.
  • Compare the total cost, not just the quoted price: consider what you would pay for the platform, as well as any additional costs for connectors, transformations, support, or other capabilities.
  • Understand the migration effort: This is one of the most important factors when moving away from Fivetran. Your pipelines feed data into dashboards, reports, and other systems used for business-critical decisions. Any issue during migration can affect downstream reporting and operations.
  • Check how much migration support the vendor provides: Look for a platform that can help you map existing pipelines, validate data, handle schema differences, and support your team throughout the migration, rather than leaving the entire process to your internal data team.
  • Prioritize predictable pricing: If reducing cost uncertainty is one of the main reasons you are considering a switch, evaluate how easily you can forecast your costs as your data volume grows.

The lowest-priced alternative is not always the right option. The better choice provides the capabilities, security, and support you need, while also making future costs easier to predict and helping you move away from Fivetran without putting your existing data pipelines at risk.

Conclusion

Predictable pricing matters because companies need to know how much their data infrastructure will cost, not just today but as the business grows.

This applies whether you are a startup managing a smaller data stack or an enterprise moving large volumes of data across multiple systems. Having visibility into your expected spend makes it easier to budget accurately, build financial projections, and plan for growth without worrying about unexpected increases in your data integration costs.

With a usage-based model, this becomes harder as data volume, transformations, activations, and the number of connections increase. The more variables involved, the more difficult it becomes to predict what the next invoice will look like.

If pricing predictability is becoming a concern, it is worth evaluating whether a fixed-pricing model is a better fit for your current stage of growth.

Hevo’s Enterprise plan is designed for this, with fixed pricing and unlimited data volume for companies that want more predictable costs as they scale.

Before your next Fivetran renewal, see what your usage would cost on Hevo
Add your connections and the monthly MAR to get a transparent, fixed-cost estimate for your business.

FAQs on Fivetran’s Pricing Model

Q1: Do Fivetran and Hevo offer free trials or free tiers?

Yes, both Fivetran and Hevo offer free trials. Fivetran provides a 14-day free trial to explore its features with limited capabilities, while Hevo offers a free trial with most of its features for testing and small-scale use.

Q2: Does Fivetran charge for data storage or transformation?

Fivetran does not charge for data storage; it only handles data extraction and loading. Fivetran has introduced pricing for Fivetran Transformations, specifically for Fivetran-hosted dbt Core transformations and Quickstart Data Models.

Q3: Can I customize my pricing plan on Hevo to suit my specific use case?

Yes, Hevo provides flexible pricing options tailored to different business needs. You can work with their team to customize a plan based on your use case, including the number of connectors, volume, and requirements.

Q4: How does Fivetran’s pricing differ from Airbyte’s?

Fivetran uses a monthly active rows (MAR) pricing model, charging based on the number of records processed. Airbyte follows an open-source, usage-based model where the self-hosted version is free, while Airbyte Cloud charges per row synced. Fivetran suits enterprises, while Airbyte offers flexibility for smaller teams and custom needs.

Q5. What factors affect Fivetran pricing?

Fivetran pricing is primarily driven by Monthly Active Rows (MAR)—the total number of unique rows added, updated, or deleted across all connectors. The more your data changes, the higher your cost. Other key factors include the number and type of connectors you’re using, how frequently your data syncs, and the pricing tier you’re on (Standard, Enterprise, or Business Critical). Faster syncs and more advanced compliance features typically push you into higher tiers. Enterprise contracts or volume commitments may unlock discounts or fixed pricing.

Q6. What does Fivetran pricing look like in the real world?

For a mid-sized business syncing about 5 million MAR across a few connectors, monthly costs may start around $2,500. As data volumes and sync frequency grow, pricing can quickly scale—larger businesses syncing 20–25 million MAR could pay $20,000–$30,000 per month, especially on enterprise plans. Costs are also impacted by connector complexity and whether you’re using premium features like advanced security or SLA guarantees.

Q7. What are some good alternatives to Fivetran?

Popular alternatives include:
Hevo Data: Offers real-time pipelines with simpler pricing, starting around $239/month.
Airbyte: Open-source with flexible pricing; ideal if you want control and cost efficiency.
Stitch: Good for smaller teams with predictable usage; starts at around $100/month.
Matillion: Combines ELT and transformation in one platform, with credit-based pricing.
Rivery: Supports ELT and reverse ETL; pricing is usage-based with competitive credit rates.
Each alternative suits different needs—Airbyte is best for customization, Hevo for simplicity, and Matillion or Rivery for broader data workflows. Choose based on data volume, team skills, and transformation needs.

Chirag Agarwal
Principal CX Engineer, Hevo Data

Chirag Agarwal is a Customer Experience Manager at Hevo Data with over 7 years of experience in support engineering and data infrastructure. Having spent more than 4 years at Hevo, he has deep hands-on expertise across ETL/ELT workflows, data pipeline architecture, Snowflake, AWS DMS, and Apache Airflow. He leads teams, drives process optimization, and writes from real-world experience on topics ranging from data quality and pipeline cost management to tool comparisons across Fivetran, Airbyte, and more.