🚀 New: Free Fivetran migration!

Learn more
Weld logo

Comparing Census with Qlik Replicate and Weld

Carolina Russ
Carolina Russ6 min read
weld logo
VS
lik logo
VS
census logo

What is Census

Census is a leading Reverse ETL platform that syncs data from your data warehouse back into SaaS tools like Salesforce, HubSpot, and Marketo. It integrates deeply with dbt and modern warehouses, enabling no-code mapping, incremental upserts, and reliable syncs to operational systems in near real time.

Pros

  • Warehouse-centric: works directly on tables or dbt models
  • No-code field mapping with live previews
  • Broad destination support: Salesforce, HubSpot, Slack, Google Sheets, etc.
  • Incremental upserts ensure data consistency with no duplicates
  • Deep dbt integration and “analytics-as-code” workflows (YAML config)
  • Flexible scheduling and API triggers for near real-time use cases

Cons

  • Focuses only on reverse ETL—requires a separate ELT tool for ingestion
  • Pricing based on rows or syncs can be expensive at very large volumes
  • Complex transformations must be done upstream in the warehouse/dbt
  • Dependent on destination API rate limits, which can slow large syncs
  • SaaS-only (no on-prem deployment)

Census Overview (G2):

What I like about Census

Census is the fastest and most reliable reverse ETL platform with 99.5% uptime and premium support for all plans. It delivers transformed data at time-of-use—fueling rapid data activation in operational tools without relying on leaky pipelines.

What I dislike about Census

Read full review

What is Qlik Replicate

Qlik Replicate (formerly Attunity) is a change data capture (CDC) and replication platform that moves data in real-time from databases, mainframes, and cloud sources into data warehouses, data lakes, and analytics platforms. It provides a graphical UI to configure replication tasks, automated schema change handling, and supports a wide range of sources (Oracle, SQL Server, DB2, MongoDB) and targets (Snowflake, Redshift, BigQuery, Kafka).

Pros

  • High-performance CDC with minimal source impact; supports heterogeneous sources and targets.
  • Automated schema change handling—table/column additions in source auto-reflected in target.
  • GUI-based configuration for tasks, monitoring dashboards, and robust error handling.
  • Cloud-native or on-prem installations; integrates with Qlik’s broader ecosystem (e.g., Qlik Sense).

Cons

  • No built-in ELT/transformations—only replication. Users need a separate tool for data transformations.
  • Enterprise pricing (per-core licensing) can be high, particularly for large-scale replication across many tables.
  • Learning curve for setting up advanced replication scenarios (e.g., multi-target replication, filters).

Qlik Replicate Documentation:

What I like about Qlik Replicate

Replicate’s CDC capabilities ensure minimal latency and zero-impact on source databases. Schema changes in the source are automatically captured and propagated to targets.

What I dislike about Qlik Replicate

Licensing is expensive, and it’s focused solely on replication (no transformations). For broader ETL, additional tools are needed.
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

Census vs Qlik Replicate: Ease of Use and User Interface

Census

Census provides an intuitive UI for mapping warehouse fields to destination fields, with live previews—non-technical business users quickly adopt it for operational data syncs.

Qlik Replicate

The Qlik Replicate UI provides wizards to create replication tasks quickly, monitors latency and throughput, and auto-detects schema changes. Setup for common CDC tasks is straightforward, but advanced filtering and tuning require expertise.

Census vs Qlik Replicate: Pricing Transparency and Affordability

Census

While there’s a free tier to get started, professional plans based on usage can add up for large enterprises. Still, ROI often justifies the investment by automating data activation in CRM/marketing tools.

Qlik Replicate

The licensing model is per-engine/core, often starting at $50k+/year for smaller environments. While expensive, the high reliability and low-latency replication justify cost for mission-critical use cases.

Census vs Qlik Replicate: Comprehensive Feature Set

Census

Census focuses on reverse ETL: no-code mapping, incremental upserts keyed on primary keys, scheduling, and deep dbt integration. It provides monitoring dashboards, alerting, and a CLI/API for GitOps workflows.

Qlik Replicate

Features: CDC-based replication, automated schema drift handling, support for 100+ sources/targets (databases, mainframes, cloud), multi-target replication, and basic transformations (e.g., data type conversions). No deep transformation engine.

Census vs Qlik Replicate: Flexibility and Customization

Census

Mapping logic is as flexible as your SQL—any complex query can feed Census. Users can customize scheduling (cron or event triggers) and configure failure handling. It adapts well but relies on warehouse transformations for complex logic.

Qlik Replicate

Users can configure advanced mapping rules, filters, and transformations (limited) via the UI or JSON configs. For deeper transforms, integrate with Qlik Compose or third-party ETL. Qlik Replicate can be automated via CLI and REST API.

Summary of Census vs Qlik Replicate vs Weld

WeldCensusQlik Replicate
Connectors200++130+100+
Price$99 / Unlimited usageFree tier; Pro ~$350/mo for 2 destinationsSubscription/perpetual license (custom quotes; six-figure enterprise costs)
Free tierNoYesNo
LocationEUUSKing of Prussia, PA, USA (Qlik HQ)
Extract data (ETL)YesNoNo
Sync data to HubSpot, Salesforce, Klaviyo, Excel etc. (reverse ETL)YesYesNo
TransformationsYesNoNo
AI AssistantYesNoNo
On-PremiseNoNoYes
OrchestrationYesYesYes
LineageYesNoNo
Version controlYesYesNo
Load data to and from ExcelYesNoNo
Load data to and from Google SheetsYesYesNo
Two-Way SyncYesNoNo
dbt Core IntegrationYesYesNo
dbt Cloud IntegrationYesNoNo
OpenAPI / Developer APIYesYesYes
G2 Rating4.84.54.7

Conclusion

You’re comparing Census, Qlik Replicate, Weld. Each of these tools has its own strengths:

  • Censuscensus focuses on reverse etl: no-code mapping, incremental upserts keyed on primary keys, scheduling, and deep dbt integration. it provides monitoring dashboards, alerting, and a cli/api for gitops workflows.while there’s a free tier to get started, professional plans based on usage can add up for large enterprises. still, roi often justifies the investment by automating data activation in crm/marketing tools..
  • Qlik Replicatefeatures: cdc-based replication, automated schema drift handling, support for 100+ sources/targets (databases, mainframes, cloud), multi-target replication, and basic transformations (e.g., data type conversions). no deep transformation engine. the licensing model is per-engine/core, often starting at $50k+/year for smaller environments. while expensive, the high reliability and low-latency replication justify cost for mission-critical use cases. .
  • 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.

Want to try a better alternative? Try Weld for free today.