What I like about Equals
“Within a week, we had a pipeline performance dashboard up and running. Building something similar ourselves would have taken 3+ months.”
Comparing Equals with Jitterbit and Weld
You’re comparing Equals vs Jitterbit vs Weld. Explore how they differ on connectors, pricing, and features. 
Loved by data teams from around the world
Weld vs Equals vs Jitterbit
| Weld | Equals | Jitterbit | |
|---|---|---|---|
| Connectors | 200+ | — | 100+ |
| Price | $99 / 5M Active Rows | — | Subscription-based (custom quotes; starts ~$25k/year) |
| Free tier | |||
| Location | EU | US | Oakland, CA, USA |
| Extract data (ETL) | |||
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | |||
| Transformations | |||
| AI Assistant | |||
| On-Premise | |||
| Orchestration | |||
| Lineage | |||
| Version control | |||
| Load to/from Excel | Yes (via Excel connector) | ||
| Load to/from Google Sheets | |||
| Two-Way Sync | |||
| dbt Core Integration | |||
| dbt Cloud Integration | |||
| OpenAPI / Developer API | |||
| G2 rating | 4.8 | — | 4.3 |
Overview
Equals in Short
Equals is an all-in-one GTM analytics platform that handles data sync, transformation, and analysis in a single interface. It automatically ETLs data from sources like Salesforce, HubSpot, Stripe, and SQL into a managed Snowflake warehouse, and then surfaces it in a spreadsheet-style BI layer for real-time pipeline, ARR, and other revenue metrics.
Pros
Built-in ELT: automatically syncs data from Salesforce, HubSpot, Stripe, SQL, etc.
Managed Snowflake warehouse included (no infra to maintain)
BI spreadsheet interface: combine spreadsheet flexibility with live queries
Pre-built GTM templates for pipeline, ARR, churn, and more
Real-time alerts and Slack/email pushes keep teams aligned
Cons
Primarily focused on revenue/GTM analytics—less flexible for non-revenue use cases
Custom SQL transforms require some technical skill
Pricing can be high for companies that outgrow the included Snowflake instance
Reviews & Quotes
From an Equals customer success story:
What I dislike about Equals
“Some advanced customization options (beyond the built-in GTM templates) require SQL knowledge and deeper familiarity with their Snowflake layer.”
Overview
Jitterbit in Short
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.
Reviews & Quotes
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.”
Overview
Weld in Short
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
Lineage, orchestration, and workflow features
Ability to handle large datasets and near real-time data sync
ETL + reverse ETL in one
User-friendly and easy to set up
Flat monthly pricing model
200+ connectors (Shopify, HubSpot, etc.)
AI assistant
Cons
Requires some technical knowledge around data warehousing and SQL
Limited features for advanced data teams
Focused on cloud data warehouses
Reviews & Quotes
A reviewer on G2 said:
What I like about Weld
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.”
Feature-by-Feature Comparison
Feature
Equals
Jitterbit
Weld
Feature
Equals
Jitterbit
Weld
Ease of Use & Interface
Side-by-side
Equals
Equals provides a familiar spreadsheet UI layered on top of live SQL queries, making it intuitive for analysts and revenue ops teams with spreadsheet backgrounds. The GTM-specific templates accelerate time-to-value.
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.
Weld
Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.
Ease of Use & Interface
Side-by-side
Equals provides a familiar spreadsheet UI layered on top of live SQL queries, making it intuitive for analysts and revenue ops teams with spreadsheet backgrounds. The GTM-specific templates accelerate time-to-value.
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.
Weld is highly praised for its user-friendly interface and intuitive design, which allows even users with minimal SQL experience to manage data workflows efficiently. This makes it an excellent choice for smaller data teams or businesses without extensive technical resources.
Pricing & Affordability
Side-by-side
Equals
Pricing is custom and scales with data volume and Snowflake usage. While it includes a managed Snowflake instance (removing infra overhead), costs can rise quickly once usage grows beyond the base tier.
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.
Weld
Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.
Pricing & Affordability
Side-by-side
Pricing is custom and scales with data volume and Snowflake usage. While it includes a managed Snowflake instance (removing infra overhead), costs can rise quickly once usage grows beyond the base tier.
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.
Weld offers a straightforward and competitive pricing model, starting at $79 for 5 million active rows, making it more affordable and predictable, especially for small to medium-sized enterprises.
Feature Set
Side-by-side
Equals
Equals combines ELT (data ingestion), a managed Snowflake warehouse, a BI spreadsheet interface, pre-built GTM dashboards, scheduled Slack/email alerts, and real-time collaboration. It’s designed end-to-end for revenue analytics.
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.
Weld
Weld 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.
Feature Set
Side-by-side
Equals combines ELT (data ingestion), a managed Snowflake warehouse, a BI spreadsheet interface, pre-built GTM dashboards, scheduled Slack/email alerts, and real-time collaboration. It’s designed end-to-end for revenue analytics.
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.
Weld 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.
Flexibility & Customization
Side-by-side
Equals
Users can drop into SQL when they need custom transformations or advanced modeling. While most teams rely on the built-in GTM templates, the platform is extensible via SQL and custom Snowflake functions for deeper bespoke analysis.
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.
Weld
Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.
Flexibility & Customization
Side-by-side
Users can drop into SQL when they need custom transformations or advanced modeling. While most teams rely on the built-in GTM templates, the platform is extensible via SQL and custom Snowflake functions for deeper bespoke analysis.
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.
Weld offers advanced SQL modeling and transformations directly within its platform with the help of AI, providing users with unparalleled control and flexibility over their data. Leveraging its powerful AI capabilities, Weld automates repetitive tasks and optimizes data workflows, allowing teams to focus on getting value and insights. Additionally, Weld's custom connector framework enables users to build connectors to any API, making it easy to integrate new data sources and tailor data pipelines to meet specific business needs. This flexibility is particularly beneficial for teams looking to customize their data integration processes extensively and maximize the utility of their data without needing external tools.
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