Fivetran vs Stitch: Comparing performance, pricing, and more

Fivetran delivers enterprise-grade performance and offers speed and reliability at scale, but Stitch’s free plan is a solid pick for startups with lighter data needs.
August 27, 2025

Many teams are rethinking their pipeline strategies, with Stitch ending its free plan. People are deciding whether Stitch's customization is worth keeping or if the very easy-to-maintain features from Fivetran are enough to jump ship.

Below, we'll examine how Fivetran and Stitch handle everything from connectors to pricing so you can find the best fit for your needs.

Fivetran vs Stitch: Side-by-side comparison

Both Stitch and Fivetran are single-stop, low-maintenance ETL platforms that are easy to understand and use.

However, when comparing Fivetran and Stitch side-by-side, there are some notable differences in product philosophies, capabilities, and use cases.

Fivetran Stitch
Pre-built connector library ✅ Yes ❌ Limited (via Singer taps)
Schema normalization ✅ Yes ❌ No (flat tables only)
Pre-built transformation models ✅ Yes (dbt integration) ❌ No built-in support
Near-real-time syncs ✅ Yes ❌ No (batch only)
Free trial offer ✅ Yes (14-day trial) ✅ Yes (14-day trial)
Free tier available ❌ No (trial only) ✅ Yes (5M rows/month)
Usage-based pricing ✅ Yes (less predictable) ✅ Yes (simpler, row-based)
Self-service setup ✅ Yes ✅ Yes
Role-based access controls ✅ Yes ⚠️ Limited (premium only)
Security certifications ✅ Yes (HIPAA, GDPR, SOC2) ✅ Yes (enterprise plans)

Fivetran overview

  • Enterprise-grade, fully managed: Prioritizes automation, scalability, and reliability with hands-off data pipeline management.
  • Extensive connector library: All connectors are built and maintained in-house.
  • Standardized connect logic: Vendor-managed for reliability, but limits flexibility.
  • Scalable infrastructure: optimized for growing data volumes and high-throughput syncs.

Stitch overview

  • Developer-friendly: Open framework allows for more control and customization.
  • Built on Singer: Open-source framework that allows teams to create and modify connectors.
  • Lightweight design: Its simple design suits smaller teams with straightforward integration needs.
  • Manual scaling requires more engineering effort, especially for unique data sources.

Use cases and ideal customer profiles

Let’s start by analyzing which use cases and customer profiles best suit both technologies.

Fivetran Stitch

Suited for: Mid-to-large businesses and enterprise organizations

Low-maintenance ETL pipelines across numerous SaaS applications, databases, and data warehouses.

Automation and speed to insight, given that custom engineering isn’t super important.

Suited for: smaller, technically inclined teams looking for flexibility and customized transform logic.

It’s lightweight and affordable for moderate workloads, though maintenance can significantly raise the total cost of ownership.

The Singer framework allows for custom connectors and flexibility, allowing technical teams to extend beyond prebuilt connectors.

Fivetran vs Stitch: Features and performance

This section will focus on concrete differences between Fivetran and Stitch in terms of how they operate and function.

Connector quality and source coverage

This is a category where Fivetran has a clear advantage.

Fivetran Stitch

Maintains full control over 700 prebuilt connectors, allowing quick adjustments to API changes.

Highly dependable for mission-critical data pipelines due to automated updates and strong support.

Minimal engineering effort needed, as Fivetran handles updates and maintenance automatically.

Relies on the Singer open-source framework. While this gives teams flexibility to build custom connectors, quality and maintenance vary widely.

Reliability can be inconsistent because many Singer connectors are community-maintained, with some outdated or deprecated.

Requires more engineering resources to troubleshoot, maintain, or rebuild outdated connectors.

Bottom line:

Most teams prefer broad coverage with minimal hassle, and Fivetran checks both boxes. Stitch appeals to developer-oriented teams willing to invest the time to customize and maintain connectors, leading to more manual effort.

Schema management and data modeling

Schemas and modeling can directly impact setup time, data readiness, and the manual effort required for analytics. Let’s see how these tools handle schema management and data modeling:

Fivetran Stitch

Pipelines automatically create normalized schemas, which are excellent for teams looking for analytics-ready data with minimal setup.

Another perk of Fivetran’s automation is the entity relationship diagrams (ERDs) it creates.

These help teams to understand their own data and the relationships between them.

Lands its data in a flattened, tabular structure.

While this approach allows for simpler data ingestion, teams must do more work in modeling and data transformation to understand relationships and build analytics-ready data.

If an organization lacks the expertise to handle this extra work, Stitch can slow down time to insight and be very resource-intensive.

Bottom line:

Fivetran saves analysts time by creating well-organized schemas that work well with BI tools and later modeling layers like dbt.

Stitch offers more flexibility for developers who prefer to make their own models, translating into much more manual effort (and added costs).

Transformation capabilities (pre and post-load)

Stitch and Fivetran have simple pre-load transformation capabilities, like normalizing data types and handling schema changes during ingestion. However, they take significantly different approaches to post-load transformations.

Fivetran Stitch

Native data integration with dbt (data build tool).

Teams can apply advanced, version-controlled transformations after data has landed in a data warehouse, resulting in flexible and scalable modeling.

Wide variety of pre-built data models for popular data sources like Salesforce, NetSuite, and Shopify.

There is minimal post-load transformation support with Stitch.

While it does support some basic transformations for compatibility during ingestion, advanced modeling requires tools like Talend or custom SQL and Python scripts.

This is another factor that adds more engineering work, which in turn leads to more expenses to accommodate Stitch.

Bottom line: Fivetran allows for a streamlined and less resource-intensive transformation workload, while Stitch sacrifices convenience for an edge in flexibility. It requires significantly more engineering work, while Fivetran minimizes engineering overhead for faster time to insight.

Performance, reliability, and speed

Compatibility, performance, reliability, and speed are some of an ETL tool's most important aspects.

Fivetran Stitch

Being an enterprise-level ETL tool focused on fast, dependable data movement gives it the edge.

It supports near-real-time syncs, has 99.9% uptime, amd handles over one million syncs per day across its platform.

Frequent syncing keeps information up to date.

It uses a batch-based sync model, which means data is not updated nearly as frequently as Fivetran.

This system can be okay for teams that don't need fresh data for operations, but it can lead to reporting delays and higher latency in dynamic environments.

Reported uptime of ~99%.

Bottom Line:
Fivetran’s enterprise-grade platform has extensive connector coverage, near-real-time updates, and handles 1M+ syncs daily with minimal latency and downtime. Stitch’s batch-based syncs are often suitable for teams with less frequent data needs but may introduce latency in dynamic environments.

Fivetran vs Stitch: Pricing

Though there is no fixed price that you can expect to spend with either Fivetran or Stitch, here is what you need to know about the difference between Stitch’s and Fivetran’s payment plans:

Fivetran Stitch

Uses active rows.

No matter how often a record is updated, it counts as one active row.

Tends to keep row counts and costs lower.

Uses raw rows.

Counts every row addition, update, or deletion as a new row.

Tends to result in a higher row count and higher costs.

Bottom Line: Fivetran's active row model is often more efficient. The tradeoff is that complex data flows can make monthly costs harder to predict.

Security, compliance, and trust

Like most modern ETL tools, Fivetran and Stitch meet security and compliance standards, including HIPAA, GDPR, and SOC 2. This ensures trust that sensitive data is handled safely throughout data pipelines.

Fivetran Stitch

Advanced role-based access controls

HIPAA, GDPR, and SOC 2 certifications

Data encryption in transit and at rest for data privacy and security.

HIPAA, GDPR, and SOC 2 certifications

Connector maintenance depends on community contributions, which can vary in reliability.

Limited official support channels can introduce risks and variability in security maintenance.

Bottom line:

Stitch does meet key compliance standards, but connector maintenance and support are variable and community-based. Enterprise-grade security with RBAC, encryption, and full compliance certifications gives Fivetran an edge and a level of trust and reliability that Stitch has yet to match.

Support, documentation, and customer success

Reliability is a key selling point for both tools, but they are not perfect. In the rare instances when something does go wrong, having strong support, documentation, and a track record of customer success is crucial.

Fivetran has a support experience with in-app help, 24/7 email support, and dedicated Customer Success Managers (CSMs) for enterprise accounts. They also have proactive error handling and Service Level Agreements (SLAs) on higher tiers.

Fivetran’s documentation is comprehensive, with visual aids through ERDs and setup guides. Users mention its reliability and ease of use.

Here’s what some had to say:

“Support for hundreds of connectors, good documentation, and support tickets are typically resolved in a reasonable amount of time.”

-Verified Anonymous user on G2

“connectors rarely break… setting things up was always effortless”

-Capterra user

Stitch, by comparison, only has basic chat support on its Standard plan, while phone and email support are only available to Premium users. There are also fewer customer success touchpoints overall, according to Skyvia.

Reviews on G2 reflect these limitations:

“Customer support is not very active.”

“No new connectors have been added lately, and maintenance of old connectors has also stopped.”

-Pranjal J. on G2

Bottom line:
While Stitch’s documentation is serviceable, lower tiers offer only basic chat support, limited customer success resources, and slower connector updates. Fivetran also takes this category with 24/7 support, dedicated CSMs, setup guides, and rich documentation with ERDs.

Fivetran vs Stitch: Which one should you choose?

For most companies, Fivetran is the better choice. It can stay with your company from the start and grow as your needs change. It barely needs any work put into it, which saves costs by removing engineering overhead.

Stitch can be helpful for teams that need customization, but Fivetran, with its 700+ connectors and various destinations, covers virtually all use cases.

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Fivetran vs Stitch: Comparing performance, pricing, and more

Fivetran vs Stitch: Comparing performance, pricing, and more

August 27, 2025
August 27, 2025
Fivetran vs Stitch: Comparing performance, pricing, and more
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Fivetran delivers enterprise-grade performance and offers speed and reliability at scale, but Stitch’s free plan is a solid pick for startups with lighter data needs.

Many teams are rethinking their pipeline strategies, with Stitch ending its free plan. People are deciding whether Stitch's customization is worth keeping or if the very easy-to-maintain features from Fivetran are enough to jump ship.

Below, we'll examine how Fivetran and Stitch handle everything from connectors to pricing so you can find the best fit for your needs.

Fivetran vs Stitch: Side-by-side comparison

Both Stitch and Fivetran are single-stop, low-maintenance ETL platforms that are easy to understand and use.

However, when comparing Fivetran and Stitch side-by-side, there are some notable differences in product philosophies, capabilities, and use cases.

Fivetran Stitch
Pre-built connector library ✅ Yes ❌ Limited (via Singer taps)
Schema normalization ✅ Yes ❌ No (flat tables only)
Pre-built transformation models ✅ Yes (dbt integration) ❌ No built-in support
Near-real-time syncs ✅ Yes ❌ No (batch only)
Free trial offer ✅ Yes (14-day trial) ✅ Yes (14-day trial)
Free tier available ❌ No (trial only) ✅ Yes (5M rows/month)
Usage-based pricing ✅ Yes (less predictable) ✅ Yes (simpler, row-based)
Self-service setup ✅ Yes ✅ Yes
Role-based access controls ✅ Yes ⚠️ Limited (premium only)
Security certifications ✅ Yes (HIPAA, GDPR, SOC2) ✅ Yes (enterprise plans)

Fivetran overview

  • Enterprise-grade, fully managed: Prioritizes automation, scalability, and reliability with hands-off data pipeline management.
  • Extensive connector library: All connectors are built and maintained in-house.
  • Standardized connect logic: Vendor-managed for reliability, but limits flexibility.
  • Scalable infrastructure: optimized for growing data volumes and high-throughput syncs.

Stitch overview

  • Developer-friendly: Open framework allows for more control and customization.
  • Built on Singer: Open-source framework that allows teams to create and modify connectors.
  • Lightweight design: Its simple design suits smaller teams with straightforward integration needs.
  • Manual scaling requires more engineering effort, especially for unique data sources.

Use cases and ideal customer profiles

Let’s start by analyzing which use cases and customer profiles best suit both technologies.

Fivetran Stitch

Suited for: Mid-to-large businesses and enterprise organizations

Low-maintenance ETL pipelines across numerous SaaS applications, databases, and data warehouses.

Automation and speed to insight, given that custom engineering isn’t super important.

Suited for: smaller, technically inclined teams looking for flexibility and customized transform logic.

It’s lightweight and affordable for moderate workloads, though maintenance can significantly raise the total cost of ownership.

The Singer framework allows for custom connectors and flexibility, allowing technical teams to extend beyond prebuilt connectors.

Fivetran vs Stitch: Features and performance

This section will focus on concrete differences between Fivetran and Stitch in terms of how they operate and function.

Connector quality and source coverage

This is a category where Fivetran has a clear advantage.

Fivetran Stitch

Maintains full control over 700 prebuilt connectors, allowing quick adjustments to API changes.

Highly dependable for mission-critical data pipelines due to automated updates and strong support.

Minimal engineering effort needed, as Fivetran handles updates and maintenance automatically.

Relies on the Singer open-source framework. While this gives teams flexibility to build custom connectors, quality and maintenance vary widely.

Reliability can be inconsistent because many Singer connectors are community-maintained, with some outdated or deprecated.

Requires more engineering resources to troubleshoot, maintain, or rebuild outdated connectors.

Bottom line:

Most teams prefer broad coverage with minimal hassle, and Fivetran checks both boxes. Stitch appeals to developer-oriented teams willing to invest the time to customize and maintain connectors, leading to more manual effort.

Schema management and data modeling

Schemas and modeling can directly impact setup time, data readiness, and the manual effort required for analytics. Let’s see how these tools handle schema management and data modeling:

Fivetran Stitch

Pipelines automatically create normalized schemas, which are excellent for teams looking for analytics-ready data with minimal setup.

Another perk of Fivetran’s automation is the entity relationship diagrams (ERDs) it creates.

These help teams to understand their own data and the relationships between them.

Lands its data in a flattened, tabular structure.

While this approach allows for simpler data ingestion, teams must do more work in modeling and data transformation to understand relationships and build analytics-ready data.

If an organization lacks the expertise to handle this extra work, Stitch can slow down time to insight and be very resource-intensive.

Bottom line:

Fivetran saves analysts time by creating well-organized schemas that work well with BI tools and later modeling layers like dbt.

Stitch offers more flexibility for developers who prefer to make their own models, translating into much more manual effort (and added costs).

Transformation capabilities (pre and post-load)

Stitch and Fivetran have simple pre-load transformation capabilities, like normalizing data types and handling schema changes during ingestion. However, they take significantly different approaches to post-load transformations.

Fivetran Stitch

Native data integration with dbt (data build tool).

Teams can apply advanced, version-controlled transformations after data has landed in a data warehouse, resulting in flexible and scalable modeling.

Wide variety of pre-built data models for popular data sources like Salesforce, NetSuite, and Shopify.

There is minimal post-load transformation support with Stitch.

While it does support some basic transformations for compatibility during ingestion, advanced modeling requires tools like Talend or custom SQL and Python scripts.

This is another factor that adds more engineering work, which in turn leads to more expenses to accommodate Stitch.

Bottom line: Fivetran allows for a streamlined and less resource-intensive transformation workload, while Stitch sacrifices convenience for an edge in flexibility. It requires significantly more engineering work, while Fivetran minimizes engineering overhead for faster time to insight.

Performance, reliability, and speed

Compatibility, performance, reliability, and speed are some of an ETL tool's most important aspects.

Fivetran Stitch

Being an enterprise-level ETL tool focused on fast, dependable data movement gives it the edge.

It supports near-real-time syncs, has 99.9% uptime, amd handles over one million syncs per day across its platform.

Frequent syncing keeps information up to date.

It uses a batch-based sync model, which means data is not updated nearly as frequently as Fivetran.

This system can be okay for teams that don't need fresh data for operations, but it can lead to reporting delays and higher latency in dynamic environments.

Reported uptime of ~99%.

Bottom Line:
Fivetran’s enterprise-grade platform has extensive connector coverage, near-real-time updates, and handles 1M+ syncs daily with minimal latency and downtime. Stitch’s batch-based syncs are often suitable for teams with less frequent data needs but may introduce latency in dynamic environments.

Fivetran vs Stitch: Pricing

Though there is no fixed price that you can expect to spend with either Fivetran or Stitch, here is what you need to know about the difference between Stitch’s and Fivetran’s payment plans:

Fivetran Stitch

Uses active rows.

No matter how often a record is updated, it counts as one active row.

Tends to keep row counts and costs lower.

Uses raw rows.

Counts every row addition, update, or deletion as a new row.

Tends to result in a higher row count and higher costs.

Bottom Line: Fivetran's active row model is often more efficient. The tradeoff is that complex data flows can make monthly costs harder to predict.

Security, compliance, and trust

Like most modern ETL tools, Fivetran and Stitch meet security and compliance standards, including HIPAA, GDPR, and SOC 2. This ensures trust that sensitive data is handled safely throughout data pipelines.

Fivetran Stitch

Advanced role-based access controls

HIPAA, GDPR, and SOC 2 certifications

Data encryption in transit and at rest for data privacy and security.

HIPAA, GDPR, and SOC 2 certifications

Connector maintenance depends on community contributions, which can vary in reliability.

Limited official support channels can introduce risks and variability in security maintenance.

Bottom line:

Stitch does meet key compliance standards, but connector maintenance and support are variable and community-based. Enterprise-grade security with RBAC, encryption, and full compliance certifications gives Fivetran an edge and a level of trust and reliability that Stitch has yet to match.

Support, documentation, and customer success

Reliability is a key selling point for both tools, but they are not perfect. In the rare instances when something does go wrong, having strong support, documentation, and a track record of customer success is crucial.

Fivetran has a support experience with in-app help, 24/7 email support, and dedicated Customer Success Managers (CSMs) for enterprise accounts. They also have proactive error handling and Service Level Agreements (SLAs) on higher tiers.

Fivetran’s documentation is comprehensive, with visual aids through ERDs and setup guides. Users mention its reliability and ease of use.

Here’s what some had to say:

“Support for hundreds of connectors, good documentation, and support tickets are typically resolved in a reasonable amount of time.”

-Verified Anonymous user on G2

“connectors rarely break… setting things up was always effortless”

-Capterra user

Stitch, by comparison, only has basic chat support on its Standard plan, while phone and email support are only available to Premium users. There are also fewer customer success touchpoints overall, according to Skyvia.

Reviews on G2 reflect these limitations:

“Customer support is not very active.”

“No new connectors have been added lately, and maintenance of old connectors has also stopped.”

-Pranjal J. on G2

Bottom line:
While Stitch’s documentation is serviceable, lower tiers offer only basic chat support, limited customer success resources, and slower connector updates. Fivetran also takes this category with 24/7 support, dedicated CSMs, setup guides, and rich documentation with ERDs.

Fivetran vs Stitch: Which one should you choose?

For most companies, Fivetran is the better choice. It can stay with your company from the start and grow as your needs change. It barely needs any work put into it, which saves costs by removing engineering overhead.

Stitch can be helpful for teams that need customization, but Fivetran, with its 700+ connectors and various destinations, covers virtually all use cases.

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