You’re comparing Databox vs Equals vs Weld. Explore how they differ on connectors, pricing, and features. 
Loved by data teams from around the world
| Weld | Databox | Equals | |
|---|---|---|---|
| Connectors | 200+ | 100+ | — |
| Price | $99 / 5M Active Rows | $47 / month - 3 sources, 5 users | — |
| Free tier | |||
| Location | EU | US | US |
| Extract data (ETL) | |||
| Sync to HubSpot, Salesforce, Klaviyo, Excel (reverse ETL) | |||
| Transformations | |||
| AI Assistant | |||
| On-Premise | |||
| Orchestration | |||
| Lineage | |||
| Version control | |||
| Load to/from Excel | |||
| Load to/from Google Sheets | |||
| Two-Way Sync | |||
| dbt Core Integration | |||
| dbt Cloud Integration | |||
| OpenAPI / Developer API | |||
| G2 rating | 4.8 | 4.5 | — |
Overview
Databox is a cloud-based data visualization and business intelligence platform that helps businesses of all sizes track, analyze, and share their key performance indicators (KPIs). It offers a wide range of features, including the ability to connect to multiple data sources, create custom dashboards, and share insights with others.
Easy to use
Powerful features
Great customer support
Comprehensive data visualization
Real-time data updates
Expensive
Limited customization
Lack of advanced features
Limited drill-down capabilities
A reviewer on Capterra:
“Databox is always looking for ways to improve its interface. It's smooth - data updates quickly and it's easy to use. The customer service is super responsive, and always willing to step in and help out with the Databoards (dashboards) I'm working on. I would say it is my favorite tool to use as an analyst - ever!”
“Still missing some more obscure, less popular, integrations.”
Overview
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.
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
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
From an Equals customer success story:
“Within a week, we had a pipeline performance dashboard up and running. Building something similar ourselves would have taken 3+ months.”
“Some advanced customization options (beyond the built-in GTM templates) require SQL knowledge and deeper familiarity with their Snowflake layer.”
Overview
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.
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
Requires some technical knowledge around data warehousing and SQL
Limited features for advanced data teams
Focused on cloud data warehouses
A reviewer on G2 said:
“Weld is still limited to a certain number of integrations - although the team is super interested to hear if you need custom integrations.”
Side-by-side
Databox is easy to use with a smooth interface and real-time data updates, making it a favorite among analysts for data visualization and reporting.
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.
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.
Side-by-side
Databox is easy to use with a smooth interface and real-time data updates, making it a favorite among analysts for data visualization and reporting.
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.
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.
Side-by-side
Databox is on the pricier side, which might deter smaller businesses or startups with limited budgets, despite its robust features and customer support.
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.
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.
Side-by-side
Databox is on the pricier side, which might deter smaller businesses or startups with limited budgets, despite its robust features and customer support.
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.
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.
Side-by-side
The platform offers powerful data visualization tools and comprehensive dashboards, but lacks advanced features and customization options, which could be limiting for some users.
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.
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.
Side-by-side
The platform offers powerful data visualization tools and comprehensive dashboards, but lacks advanced features and customization options, which could be limiting for some users.
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.
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.
Side-by-side
Databox provides a range of data visualization tools, but customization is limited, particularly for more complex reporting and analysis needs.
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.
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.
Side-by-side
Databox provides a range of data visualization tools, but customization is limited, particularly for more complex reporting and analysis needs.
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.
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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