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Comparing Estuary with Jitterbit and Weld

Carolina Russ
Carolina Russ6 min read
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What is Estuary

Estuary Flow is a real-time ETL/ELT and data integration platform for both batch and streaming pipelines. It provides sub-100ms latency using Change Data Capture (CDC), supports automated schema evolution, and allows users to build entire pipelines with low- or no-code connectors in minutes. It can target data warehouses (e.g., Snowflake, BigQuery), BI tools, and operational systems for analytics, operations, and AI use cases.

Pros

  • Purpose-built for real-time CDC and streaming ETL with sub-100ms latency.
  • Automatic schema evolution with exactly-once delivery guarantees.
  • 200+ no-code connectors for databases, SaaS apps, and message queues.
  • Flexible deployment: public cloud, private cloud, or self-hosted (BYOC).

Cons

  • Premium pricing model ($0.50/GB consumed + connector fees) can be expensive for small teams.
  • Still growing connector catalog; niche or very new APIs may require custom work.
  • Smaller community compared to older open-source tools, meaning fewer community-built resources.

Estuary Pricing Page:

What I like about Estuary

Estuary’s real-time, no-code model is magical—getting data instantly with minimal effort and near-zero pipeline maintenance. Plus, their support is fantastic.

What I dislike about Estuary

Pricing can be high for lower-volume teams, and some less-common connectors are still in development, which limits immediate use cases for niche sources.
Read full review

What is Jitterbit

Jitterbit Harmony is a cloud-based integration platform that supports ETL, API integration, and application connectivity. Its core concept is “Harmony Cloud Integration,” where users design “Jitterpaks” (integration packages) via a visual interface. Jitterbit offers pre-built connectors to major SaaS apps (Salesforce, NetSuite), on-prem databases, and flat files. It also supports real-time API creation from data sources and transformation using SQL or scripting.

Pros

  • Pre-built connectors for CRM, ERP, databases, and flat files; plus the ability to build custom connectors via SDK.
  • API creation feature: turn data flows into REST or SOAP endpoints on the fly.
  • Visual Studio for designing Jitterpaks (pipelines), with drag-and-drop mapping and transformation steps.
  • Real-time and batch modes supported; can deploy on Jitterbit’s cloud or your own servers (hybrid).

Cons

  • Complex licensing (based on endpoints, environments, and usage) can be expensive for heavy data volumes.
  • Studio interface can feel less modern compared to newer iPaaS; large, complex flows can become unwieldy.
  • Some advanced transformations require writing custom code rather than purely using GUI.

Jitterbit Harmony Overview:

What I like about Jitterbit

Jitterbit’s Studio UI makes building integrations straightforward, and the API creation feature lets us expose data to external apps quickly.

What I dislike about Jitterbit

Pricing is tiered and can be high as you add more endpoints or data volume. Complex transformations sometimes require scripting, despite the low-code interface.
Read full review

What is Weld

Weld is a powerful ETL platform that seamlessly integrates ELT, data transformations, reverse ETL, and AI-assisted features into one user-friendly solution. With its intuitive interface, Weld makes it easy for anyone, regardless of technical expertise, to build and manage data workflows. Known for its premium quality connectors, all built in-house, Weld ensures the highest quality and reliability for its users. It is designed to handle large datasets with near real-time data synchronization, making it ideal for modern data teams that require robust and efficient data integration solutions. Weld also leverages AI to automate repetitive tasks, optimize workflows, and enhance data transformation capabilities, ensuring maximum efficiency and productivity. Users can combine data from a wide variety of sources, including marketing platforms, CRMs, e-commerce platforms like Shopify, APIs, databases, Excel, Google Sheets, and more, providing a single source of truth for all their data.

Pros

  • Premium quality connectors and reliability
  • User-friendly and easy to set up
  • AI assistant
  • Very competitive and easy-to-understand pricing model
  • Reverse ETL option
  • Lineage, orchestration, and workflow features
  • Advanced transformation and SQL modeling capabilities
  • Ability to handle large datasets and near real-time data sync
  • Combines data from a wide range of sources for a single source of truth

Cons

  • Requires some technical knowledge around data warehousing and SQL
  • Limited features for advanced data teams

A reviewer on G2 said:

What I like about Weld

First and foremost, Weld is incredibly user-friendly. The graphical interface is intuitive, which makes it easy to build data workflows quickly and efficiently. Even with little experience in SQL and pipeline management, we found that Weld was straightforward and easy to use. What really impressed me, however, was Weld's flexibility. It was able to handle data from a wide variety of sources, including SQL databases, Google Sheets, and even APIs. The solution also allowed us to customize my data transformations in a way that best suited my needs. Whether I needed to clean data, join tables, or aggregate data, Weld had the necessary tools to accomplish the task. Weld's performance was also exceptional. I was able to run large-scale ETL jobs quickly and efficiently, with minimal downtime via a Snowflake instance and visualization via own-hosted Metabase. The solution's scalability meant that I could process more data without any issues. Another standout feature of Weld was its support. I never felt lost or unsure about how to use a particular feature, as the support team was always quick to respond to any questions or concerns that I had. Overall, I highly recommend Weld as an ETL solution. Its user-friendliness, flexibility, performance, and support make it an excellent choice for anyone looking to streamline their data integration processes. I will definitely be using Weld for all my ETL needs going forward.

What I dislike about Weld

Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.
Read full review

Estuary vs Jitterbit: Ease of Use and User Interface

Estuary

Estuary’s UI is intuitive: users can add connectors, configure CDC streams, and specify destinations in a few clicks. Complex transformations can be written in SQL or TypeScript directly in the Flow editor, but most tasks are handled via no-code connectors.

Jitterbit

Jitterbit’s Studio is a Java-based desktop application (also has a web version) with a canvas for designing operations. It supports mapping between schemas, scripting for complex logic, and testing within the UI. Some users find it less responsive for very large flows.

Estuary vs Jitterbit: Pricing Transparency and Affordability

Estuary

While Estuary provides a 10 GB/month free tier and a 30-day trial, its consumption-based pricing ($0.50/GB + connector fees) can become costly at scale. Teams processing hundreds of GBs per month should budget accordingly.

Jitterbit

Pricing depends on number of endpoints, environments (dev/test/prod), and data volume. Smaller teams might start around $25k/year, but enterprise usage can cost significantly more.

Estuary vs Jitterbit: Comprehensive Feature Set

Estuary

Key features include real-time CDC (sub-100ms latency), batch and streaming pipelines, automated schema evolution, and in-stream or post-load transformations via SQL/TypeScript or dbt. It also supports Kafka-compatibility and private storage for data replay.

Jitterbit

Features include: ETL/ELT pipelines, API generation, cloud & on-prem deployment, real-time event triggers, pre-built templates (“Jitterpaks”), and monitoring dashboards. Also supports multi-environment promotion and CI/CD.

Estuary vs Jitterbit: Flexibility and Customization

Estuary

Estuary allows custom TypeScript transforms in-stream or SQL in-destination. Pipelines can be managed via CLI (flowctl) and integrated into CI/CD. While most connectors are no-code, custom connectors can be built using the open-source Flow SDK.

Jitterbit

Users can embed JavaScript or VBScript for transformations. Jitterbit’s SDK allows building custom connectors. While hybrid deployment is possible, full feature access often requires cloud usage.

Summary of Estuary vs Jitterbit vs Weld

WeldEstuaryJitterbit
Connectors200++200+100+
Price$99 / Unlimited usage$0.50/GB consumed + per-connector feeSubscription-based (custom quotes; starts ~$25k/year)
Free tierNoYesNo
LocationEUNew York, NY, USAOakland, CA, USA
Extract data (ETL)YesYesYes
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)YesNoYes
TransformationsYesYesYes
AI AssistantYesNoNo
On-PremiseNoYesYes
OrchestrationYesYesYes
LineageYesYesNo
Version controlYesYesYes
Load data to and from ExcelYesNoYes
Load data to and from Google SheetsYesYesNo
Two-Way SyncYesNoYes
dbt Core IntegrationYesYesNo
dbt Cloud IntegrationYesNoNo
OpenAPI / Developer APIYesYesYes
G2 Rating4.84.84.3

Conclusion

You’re comparing Estuary, Jitterbit, Weld. Each of these tools has its own strengths:

  • Estuarykey features include real-time cdc (sub-100ms latency), batch and streaming pipelines, automated schema evolution, and in-stream or post-load transformations via sql/typescript or dbt. it also supports kafka-compatibility and private storage for data replay. while estuary provides a 10 gb/month free tier and a 30-day trial, its consumption-based pricing ($0.50/gb + connector fees) can become costly at scale. teams processing hundreds of gbs per month should budget accordingly. .
  • Jitterbitfeatures include: etl/elt pipelines, api generation, cloud & on-prem deployment, real-time event triggers, pre-built templates (“jitterpaks”), and monitoring dashboards. also supports multi-environment promotion and ci/cd. pricing depends on number of endpoints, environments (dev/test/prod), and data volume. smaller teams might start around $25k/year, but enterprise usage can cost significantly more. .
  • Weldweld integrates elt, data transformations, and reverse etl all within one platform. it also provides advanced features such as data lineage, orchestration, workflow management, and an ai assistant, which helps in automating repetitive tasks and optimizing workflows.weld offers a straightforward and competitive pricing model, starting at $99 for 2 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises..
Review the detailed sections above—connectors, pricing, feature set, and integrations—and choose the one that best matches your technical expertise, budget, and use cases.

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