ConnectHub

ConnectHub

(231 reviews)
$159
In Stock

Color

ConnectHub is a universal data integration platform that enables organizations to build, deploy, and manage data pipelines connecting any combination of cloud applications, databases, data warehouses, and on-premise systems. With over 500 pre-built connectors and a visual pipeline designer, ConnectHub makes it possible for data engineers to create production-grade integrations in hours instead of weeks. The platform supports multiple integration patterns: batch ETL/ELT for data warehousing, real-time CDC for event-driven architectures, and bidirectional sync for keeping operational systems in alignment. ConnectHub's unified architecture means you can mix these patterns within a single pipeline. ConnectHub's transformation layer supports SQL-based transformations, Python scripting, and a visual mapping tool for common operations like field renaming, type casting, data masking, and lookup enrichment. The schema evolution engine handles upstream schema changes gracefully -- new columns are propagated automatically, and breaking changes trigger alerts with migration assistance. Operational excellence is a core focus. ConnectHub provides detailed pipeline monitoring with data quality checks, volume anomaly detection, and latency tracking. Data observability dashboards show pipeline health, freshness, and quality metrics at a glance. The platform includes built-in data lineage that traces every record from source to destination.
Deployment Cloud (SaaS) / On-Premise / Hybrid
Pre-built Connectors 500+
Integration Patterns Batch ETL, CDC, Bidirectional Sync
Transformations SQL, Python, Visual Mapper
Schema Evolution Automatic propagation + alerts
Data Quality Built-in checks + anomaly detection
Lineage End-to-end record-level tracing
Max Throughput 100 GB/hour (Enterprise)
Compliance SOC 2, GDPR, HIPAA
Support 24/7 with dedicated integration engineer
Michael Chen November 14, 2025

ConnectHub replaced our homegrown ETL pipeline mess and the improvement in reliability has been dramatic. We went from weekly data pipeline incidents to zero unplanned outages in three months. The CDC capability is excellent -- our data warehouse now reflects changes within seconds.

Angela Wright October 30, 2025

We evaluated Fivetran, Airbyte, and ConnectHub. ConnectHub won because of its superior transformation capabilities and bidirectional sync support. The ability to write SQL transformations within the pipeline is a unique strength.

Steven Park October 12, 2025

ConnectHub handles our complex multi-source data integration flawlessly. We consolidate data from 45 different SaaS applications into Snowflake, and the connector reliability has been outstanding. The schema evolution handling is a standout feature.

Diana Morrison September 25, 2025

Good integration platform with a comprehensive connector library. The data quality checks have caught several issues that would have otherwise corrupted our warehouse. The alerting is well-integrated with Slack and PagerDuty.

Peter Kim September 8, 2025

ConnectHub's data lineage feature has been invaluable for our data governance program. When a stakeholder questions a number in a dashboard, we can trace it back through ConnectHub to the exact source record and transformation logic.

Jennifer Torres August 22, 2025

We use ConnectHub for bidirectional sync between Salesforce and our internal CRM, and it handles the complexity beautifully. Conflict resolution policies ensure that data inconsistencies are handled deterministically.

Greg Johnson August 5, 2025

ConnectHub has become the backbone of our data infrastructure. We run about 200 pipelines moving data between production databases, analytics warehouses, and operational tools. The platform has been reliable and performant.

Maria Santos July 18, 2025

Excellent data integration tool with strong operational features. The pipeline monitoring and data observability dashboards provide the visibility our data team needs. The volume anomaly detection caught a production issue where a source system was only exporting partial data.

How does ConnectHub handle schema changes in source systems?
ConnectHub's schema evolution engine detects changes automatically. New columns are propagated to the destination. Column type changes trigger a compatibility check. Breaking changes generate alerts with migration suggestions rather than failing silently.
What is the difference between ETL and CDC modes?
ETL mode performs full or incremental batch extraction on a schedule. CDC mode captures individual row-level changes from the source system's change log in real-time. CDC provides lower latency but requires source databases that support change capture.
Can ConnectHub handle data masking and PII protection?
Yes. ConnectHub includes built-in transformation functions for data masking, hashing, tokenization, and redaction. You can configure column-level masking policies that apply consistently across all pipelines.
Does ConnectHub support reverse ETL?
Yes. ConnectHub supports reverse ETL pipelines that push data from your data warehouse back to SaaS applications. This enables use cases like syncing enriched customer profiles from your warehouse to your CRM.
What are the pricing models available?
ConnectHub offers three tiers: Developer (free, 5 connectors, 100K rows/month), Professional ($159/month, 50 connectors, 10M rows/month), and Enterprise (custom pricing, unlimited). All tiers include the full transformation engine.