Comparing Blendo with Jitterbit and Weld



What is Blendo
Pros
- Quick setup for popular marketing and product analytics sources with pre-built dashboards.
- Handles incremental syncs and auto-updates when source schemas change.
- Offers a unified metrics layer with common definitions (e.g., MRR, CAC) out-of-the-box.
Cons
- Niche focus on marketing/product analytics—fewer connectors for general-purpose ETL.
- Transformation capabilities are limited to simple mappings; complex needs require additional tools.
- Pricing scales quickly as more sources are connected or higher sync frequency is needed.
Blendo Pricing:
What I like about Blendo
Blendo’s turnkey dashboards and consolidated metrics saved us weeks of manual work—data from all our marketing tools was in BigQuery overnight.
What I dislike about Blendo
Limited customization: can’t define complex transformation logic beyond basic field mappings and date handling.
What is Jitterbit
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.
What is Weld
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.
Blendo vs Jitterbit: Ease of Use and User Interface
Blendo
Blendo’s web UI focuses on connecting predefined sources (select connector, authenticate, choose tables). Once set, data flows automatically on a schedule. Very little configuration needed—ideal for marketers/analysts.
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.
Blendo vs Jitterbit: Pricing Transparency and Affordability
Blendo
Plans start at $100/month for 1 source, 1 warehouse, and 1 dashboard sync. Higher tiers add connectors and more frequent syncs. Good value for small analytics use cases, but costs increase if you add many sources.
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.
Blendo vs Jitterbit: Comprehensive Feature Set
Blendo
Features: SaaS connectors (marketing, CRM, product), incremental sync, metrics layer, pre-built BI dashboards (Data Studio, Looker), monitoring & alerts. Limited to analytics-focused data; no general-purpose ETL features.
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.
Blendo vs Jitterbit: Flexibility and Customization
Blendo
Users can define custom SQL transformations on the loaded data via a “SQL runner” feature, but most heavy transformations are done post-load in the warehouse or BI tool. No built-in Python/JS transforms.
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 Blendo vs Jitterbit vs Weld
Weld | Blendo | Jitterbit | |
---|---|---|---|
Connectors | 200+ | 30+ | 100+ |
Price | €99 / unlimited usage | Small plan starts ~$100/month; scales by data volume and connector count | Subscription-based (custom quotes; starts ~$25k/year) |
Free tier | No | Yes | No |
Location | EU | Sofia, Bulgaria (HQ) + USA offices | Oakland, CA, USA |
Extract data (ETL) | Yes | Yes | Yes |
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL) | Yes | No | Yes |
Transformations | Yes | No | Yes |
AI Assistant | Yes | No | No |
On-Premise | No | No | Yes |
Orchestration | Yes | Yes | Yes |
Lineage | Yes | No | No |
Version control | Yes | No | Yes |
Load data to and from Excel | Yes | No | Yes |
Load data to and from Google Sheets | Yes | No | No |
Two-Way Sync | Yes | No | Yes |
dbt Core Integration | Yes | No | No |
dbt Cloud Integration | Yes | No | No |
OpenAPI / Developer API | Yes | No | Yes |
G2 Rating | 4.8 | 4.3 | 4.3 |
Conclusion
You’re comparing Blendo, Jitterbit, Weld. Each of these tools has its own strengths:
- Blendo: features: saas connectors (marketing, crm, product), incremental sync, metrics layer, pre-built bi dashboards (data studio, looker), monitoring & alerts. limited to analytics-focused data; no general-purpose etl features. . plans start at $100/month for 1 source, 1 warehouse, and 1 dashboard sync. higher tiers add connectors and more frequent syncs. good value for small analytics use cases, but costs increase if you add many sources. .
- 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. . 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 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..