Choose Fivetran if you want automated data integration from extensive connectors that handle complex and high-volume workloads with minimal oversight and enterprise quality.
Choose Stitch if your priority is a simple platform that offers basic batch syncs at a predictable price through the Singer ecosystem.
Choose Hevo for a no-code, scalable, and fault-tolerant solution that delivers fully managed pipelines with enterprise-grade security and efficiency.
When it comes to selecting the right data integration tool, Fivetran vs Stitch makes an interesting comparison, as both often lead the race. Fivetran delivers enterprise-grade automation ideal for complex, high-volume workloads. Stitch is preferred for its simplicity, predictable pricing, and open-source flexibility.
Both data pipeline tools are reliable, but they cater to distinct requirements within modern data stacks. In this blog post, you’ll learn about their strengths, weaknesses, features, and use cases, and be able to decide which one is the better fit for your data stack.
Don’t want to choose between enterprise features and ease of use? Hevo offers a fully automated way to move your data at scale. Start your 14-day free trial now!
Table of Contents
What Is Fivetran?
G2 rating: 4.2 (445)
Gartner rating: 4.7 (296)
Fivetran is a fully managed integration platform for teams that require automation at scale. It boasts one of the widest coverage ranges in the market with 700+ pre-built connectors that support databases, SaaS apps, file stores, and event streams.
The data pipeline tool efficiently handles large volumes of data with minimal operational effort. It focuses on replication, consistent performance, and strong reliability across cloud warehouses. Fivetran often appeals to teams that want a system that manages schema changes without disruption.
Key features of Fivetran
- High-volume CDC: Captures updates from transactional systems with precise log-based extraction and provides accurate replication.
- ELT-first structure: Automatically triggers dbt Cloud or dbt Core transformations after data loads and keeps warehouse data fresh and ready for analysis.
- PII security controls: Blocks sensitive columns or applies SHA-256 hashing before data reaches the warehouse to maintain compliance without manual steps.
- Pre-built data models: Provides ready-to-use dbt Core-compatible models for popular connectors that deliver analytics-ready schemas immediately.
Use cases
- Finance fraud detection: Stream transaction data from production Postgres to Snowflake with real-time CDC for fraud scoring.
- Healthcare compliance reporting: Replicate EHR systems to Snowflake with hybrid deployment and audit logs to ensure HIPAA compliance.
- E-commerce personalization: Aggregate sales, inventory, and marketing campaign data from multiple platforms for quick analysis and faster strategy adjustments.
Pricing
Fivetran’s pricing is based on Monthly Active Rows (MARs) per connector.
- Free: Provides 500,000 MAR and 5,000 model runs each month.
- Standard: Starts at $499.99 and adds more connectors along with essential support.
- Enterprise: Offers real-time syncs, advanced security, and priority support.
- Business Critical: Builds on Enterprise with extra compliance and governance features.
A 14-day free trial is available.
Pros and cons
Pros:
- Offers a 99.9% uptime guarantee.
- Reverse ETL support helps you send processed data back to the source for further analysis.
- Supports hybrid deployment for enhanced security and compliance.
Cons:
- Real-time syncs with 1-minute latency are exclusive to enterprise tiers.
- MAR-based pricing can get expensive unexpectedly.
- 24/7 support is available only for higher-tier plans.
What Is Stitch?
G2 rating: 4.4 (68)
Gartner rating: 3.9 (3)
Stitch, now a part of Qlik, is a lightweight ELT platform for teams that want an affordable way to move data into their warehouse. The data integration tool prioritizes straightforward workflows over complex customizations, thereby speeding up pipeline management.
With 130+ pre-built connectors across databases and SaaS platforms, it offers enough coverage for most foundational reporting needs. If you want to build pipelines without a technical team, Stitch presents the ideal environment.
Key features of Stitch
- Batch replication focus: Offers precise control over sync frequency to help you balance data freshness with operational cost.
- Open-source extensibility: Supports full compatibility with Singer taps and targets to build or customize connectors when native ones fall short.
- Predictable pricing: Delivers a clear volume-based model that helps you forecast data costs and prevent surprise overages.
- JSON flattening: Processes nested JSON structures and automatically converts them into relational tables, making semi-structured data easier to analyze.
- Multi-warehouse support: Lets you connect multiple warehouses within one account and assign integrations separately.
Use cases
- Marketing analytics aggregation: Consolidate data from CRMs, email platforms, and ad networks into a warehouse for campaign performance analysis.
- Rapid Proof of Concept (POC) development: Use minimal setup to quickly test new data sources or integrations to ensure low-risk evaluation.
- Financial reporting: Batch-sync data from Salesforce and QuickBooks for monthly finance reports without complex integration.
Pricing
Stitch offers a tier-based subscription model.
- Standard: $100/month covers up to five million rows, one destination, 10 standard sources, and five users.
- Advanced: $1,250/month includes 100 million rows, three destinations, and unlimited users.
- Premium: $2,500/month supports one billion rows, five destinations, and unlimited sources and users.
New users are now guided toward the integrated Qlik Talend Cloud, which comes with a 14-day free trial.
Pros and cons
Pros:
- A seven-day grace period for new integrations enables free historical data backfills.
- The focus on raw loading makes data lineage simple to track.
- Offers SOC 2 Type II and ISO 27001 compliance across all tiers.
Cons:
- Singer’s connector quality varies since they are community-maintained.
- No native real-time CDC for live analytics needs.
- Custom taps require development time for niche sources.
Fivetran vs Stitch vs Hevo: Detailed Comparison Table
![]() | |||
| Core functions | Fully managed, no-code ELT/ETL | Enterprise-grade ELT pipelines | Simple ELT replication |
| Ease of use | Easy | Easy | Easy |
| Connectors | 150+ | 700+ | 130+ |
| Source types | DB, SaaS, REST APIs, Webhook, and files | DB, SaaS, APIs, apps, and files | DB and SaaS |
| API support | Upon request or custom REST connectors via GUI | Connector SDK support | Custom Singer taps |
| Real-time streaming | only in higher tiers | ||
| Deployment | Cloud SaaS | Cloud and hybrid | Cloud-native |
| Transformations | Pre- and post-load, visual or Python and SQL | Post-load, dbt | Post-load, warehouse-based |
| Auto schema updates | |||
| Customer support | 24/7 chat, email | Tier-based support | Tier-based support |
| Security compliance | SOC 2 Type II, GDPR, HIPAA, DORA, and CPRA | SOC 2, HIPAA, ISO 27001, PCI DSS, and HITRUST | SOC 2 Type II and ISO 27001 |
| Free plan | |||
| Free trial | |||
| Starting Price | $239/month | $499.99 per 1 million MAR | $100/month |
Fivetran vs Stitch: Detailed Comparison
1. Ease of use
Fivetran simplifies complex pipelines by handling replication, schema changes, and error recovery automatically. This makes it ideal for teams managing high-volume and multi-source data. While setup is straightforward, enterprise deployments may require warehouse configuration and dbt knowledge.
Stitch provides a clean and intuitive interface that suits small teams and non-technical users who need functional pipelines quickly without worrying about advanced automation.
Stitch is easier for beginners, while Fivetran better serves enterprise-grade needs.
Fivetran
Stitch
2. Connector coverage and source support
With over 700 pre-built connectors, Fivetran ensures teams can centralize almost any source without custom development. If you don’t find your source, you can use the Connector SDK to build your own connector or collaborate with the team to create one through the By Request program.
Stitch supports 130+ connectors, covering the most common CRMs, finance, and marketing platforms. Stitch’s strength is its support for the Singer open-source protocol, which allows for custom integrations. However, the quality and ongoing maintenance of these custom Singer taps can vary, as they often rely on the open-source community.
Overall, Fivetran provides unmatched breadth and stability for standard sources.
Fivetran
3. Transformation capabilities
Both tools primarily support post-load data transformations.
Fivetran automates them by triggering dbt post-load, which provides you with ready-to-query, standardized datasets consistently. This works well if you have standardized on dbt for modeling and require integrated orchestration.
Stitch offers minimal transformation features and handles only basic tasks like data type normalization and JSON flattening. If you prefer performing complex business logic and modeling directly in the warehouse using SQL or external orchestration tools, it can work for you.
Fivetran provides a more integrated modeling solution through dbt. Stitch keeps the data pipeline clean and simple, delegating all complex transformation work externally.
Fivetran
Stitch
4. Performance and reliability
Fivetran supports high-volume and log-based change data capture that minimizes latency and ensures accurate replication. The only drawback here is that real-time syncs with 1-minute latency are only available for enterprise users.
Stitch uses a scheduled batch replication at fixed intervals, typically ranging from minutes to hours, depending on the plan. While highly reliable for its intended purpose, this approach is insufficient for low-latency needs.
If your priority is real-time pipelines, Fivetran is the better option. Stitch’s reliability is best suited for traditional business intelligence, dashboarding, and monthly financial reporting, where data latency is not a primary concern.
Fivetran
Stitch
5. Schema management and maintenance
When source schemas change, new columns are added, or data types shift, Fivetran automatically detects the change. It then adjusts the destination schema and resumes the sync with zero manual intervention.
Stitch also supports automatic schema discovery, appending new columns to the destination tables as needed. However, managing significant schema changes or ensuring compatibility often requires more oversight, especially for custom integrations leveraging the Singer framework.
Fivetran offers zero-touch schema evolution and maintenance.
Fivetran
6. Pricing models
Fivetran’s MAR pricing scales with data volume, which can become costly for large datasets. However, this can align with enterprise automation and operational ease.
Stitch applies predictable row-based tiers, making it easier for small businesses to budget and avoid unexpected overages.
The choice depends on data scale and operational needs. If you want high-volume, automated pipelines, Fivetran offers efficiency despite the cost. But if you are looking for a budget-friendly option, Stitch is the ideal start.
Fivetran
Stitch
7. Customer support and community
Fivetran provides tiered support, including proactive monitoring and troubleshooting. That said, its 24/7 dedicated support is limited to enterprise users, while other users get a response time of 1 to 48 hours, depending on the plan.
Stitch also offers tiered support and a strong open-source community, including documentation and forums for guidance. This is valuable for startups or small teams that need consistent support through the process.
In essence, Fivetran offers better high-touch support and reliability, while Stitch suits smaller teams who rely on community support.
Fivetran
Stitch
When to Choose Fivetran
Choose Fivetran if any of the following apply:
- Near-real-time replication is essential, and you want minimal impact on source systems.
- Your data stack uses SAP, Workday, or other enterprise systems that require advanced connectors.
- Regulatory needs require routing data through specific regions or hybrid setups.
- Source schemas change frequently, making automated drift handling essential.
- Usage-based pricing and cost variation are acceptable.
- Your data models already run on dbt, and you prefer automatic post-load transformation orchestration.
Want to explore other data integration solutions? Here’s a detailed article comparing Fivetran vs Matillion.
When to Choose Stitch
Pick Stitch if the following fit your situation:
- Tier-based pricing with clear monthly limits is more appealing than consumption billing.
- Your sources include mainstream SaaS tools and standard databases included in Stitch’s connector catalog.
- The team is small and cannot commit engineering time to pipeline upkeep.
- Scheduled batch replication is sufficient for your dashboards and reporting.
- You are open to using Singer to create custom connectors when required.
Looking for tools similar to Stitch that offer improved features? Explore the top 10 Stitch alternatives.
Why Does Hevo Stand Out?
Hevo Data offers a competitive alternative by combining both ELT and ETL tool capabilities in one platform. It enables you to build and run pipelines without writing code or managing servers. As a simple, reliable, and transparent solution, Hevo removes the operational burden of traditional ETL tools and automates extraction, loading, scaling, and monitoring with full end-to-end visibility.
Here’s how Hevo differentiates itself:
- Battle-tested connectors: Supports 150+ pre-built connectors and allows you to create custom connectors or request one, all managed by the platform.
- Operational reliability: Handles retries, error detection, and load management in real-time to give you fresh and accurate data.
- Real-time syncs: Delivers smooth batch and real-time streaming with high throughput and low latency, even at scale.
- Auto-scalable: Adjusts compute automatically during peak loads and keeps pipelines stable without tuning.
- Transparent pricing: Starts at just $239/month without unexpected bills at the end of the month.
- Dedicated support: Offers 24/7 assistance to troubleshoot issues and guide you through scaling your pipelines.
In short, Hevo offers the ease of Stitch and the enterprise support for Fivetran, with additional features like real-time sync.
For more on how Hevo compares to Fivetran, see our Hevo vs Fivetran guide.
Curious how Hevo can help you scale your pipelines? Book a free demo with an expert now!
FAQs
Q1. What are the main differences between Fivetran and Stitch?
Fivetran targets enterprises with 700+ connectors, real-time CDC, and automated schema drift handling. It uses a consumption-based MAR pricing per connector. Stitch serves small teams with 130+ connectors, batch replication, and predictable row-based pricing starting at $100 monthly. Fivetran handles complex data stacks while Stitch prioritizes simplicity and budget control.
Q2. Do Fivetran and Stitch support real-time data sync?
Fivetran supports real-time data sync through log-based CDC with latencies as low as 1 minute, but this is limited to its higher-tiered plans. The latency depends on the connector type and plan tier. Stitch does not offer real-time replication. It uses scheduled batch processing with sync frequencies ranging from minutes to hours, depending on your plan.
Q3. What are some alternatives to Fivetran or Stitch?
Popular alternatives include Airbyte for open-source flexibility, Matillion for transformation-heavy pipelines, and Hevo for a no-code, fully managed ELT platform with strong reliability. Other options like Meltano might be suitable if you want engineering-driven control or deeper customization across the data stack.
