BladePipe 1.6.0 supports Snowflake, Hologres and CloudBerry.
Replicate Data in Real-time,
Incremental
Build end-to-end data pipelines between 60+ datasources for analytics or AI in minutes. Move data faster and easier than ever in Cloud or On-Premise, with ultra-low latency less than 3 seconds.
0+clients
0+downloads
0+community members
Why Data Teams Choose BladePipe
Better Performance at a Lower Cost
Learn MoreCost Comparison: BladePipe vs. Airbyte vs. Fivetran
1M row/mo
$210
BladePipe
(*,BYOC)
$450
Airbyte
(Cloud)
$500
Fivetran
(Standard)
10M row/mo
$300
BladePipe
(*,BYOC)
$1000
Airbyte
(Cloud)
$1350
Fivetran
(Standard)
100M row/mo
$1200
BladePipe
(*,BYOC)
$3000
Airbyte
(Cloud)
$2900
Fivetran
(Standard)
1000M row/mo
$10200
BladePipe
(*,BYOC)
$14000
Airbyte
(Cloud)
$12000
Fivetran
(Standard)
*: include one AWS EC2 t2.xlarge for worker, 200 usd/month
Sync Data in Seconds
BladePipe
<= 10 seconds *Airbyte
>= 1 minutesFivetran
>= 1 minutesWhat Makes BladePipe Different
Here are some key features of BladePipe.
Always Real-time
Sync and update with <3s latency, unlocking more value from your data and more possibilities for your business.
Data Security
Data stays within your network, no external connections required, avoiding data leakage risks.
Visualized, Automated
Simplified operations with lower barriers. Automated task flow cuts manual work.
Accurate Delivery
High data consistency with precise transformation of heterogeneous data, supported by built-in verification and correction.
End-to-end
Deploy with ease, no extra tools needed. Streamlined for efficient operations and easy maintenance.
60+ Connectors
Support major databases, real-time warehouses, queues, search engines, and caches — with more on the way.
What You Can Do with BladePipe
Rich functions, simple operation.
01
Incremental Sync
Full Migration
Data Processing & Cleaning
Schema Initialization & Evolution
Data Verification & Correction
GenAI Services
Bi-directional Sync
Monitoring & Alerting
Incremental Sync
Capture and deliver data changes in real time.- Adjust max rate to prevent peak pressure.
- Support heterogeneous sources.
Supported Connectors
More connectors are being updated.
Data Integration Use Cases
Let me show you some typical scenarios.
Re-architect Traditional Big Data for Real-time Data Analytics
BladePipe makes it easy to integrate data into modern real-time data warehouses without delay, ensuring freshness and unlocking greater data value.
Build Smarter AI Chatbots
Embed documents, database data, and other private knowledge bases into leading LLMs to make your chatbots more professional and incredibly intelligent.
Different Deploy Modes
BladePipeoffers Cloud (SaaS Managed & BYOC) and Enterprise (On-Premise) models to
meet different scenarios and requirements.
meet different scenarios and requirements.
Cloud (SaaS Managed & BYOC)
- Quick to get started, focusing on core business.
- Support for high availability deployment, ensuring uninterrupted data flow.
- A professional support team ensures every issue is resolved.
Enterprise (On-Premise)
- Fully self-hosted, highly controllable.
- All data is kept in-house. No need to expose to the public internet.
- Support for high availability deployment, ensuring system reliability.
Moving Data in Real Time.
Build continuous,incremental data pipelines with BladePipe.
More about BladePipe
Discover the great potential of BladePipe.
Data insights
How to Sync MySQL Databases:Best Methods and Loop Prevention
Learn how to sync MySQL databases in real time using replication or CDC pipelines, with practical migration steps, production checklists, and loop-sync prevention best practices.
Kristen
May 8, 2026
Data insights
Reverse ETL:What It Is, Use Cases, and How to Implement It
Reverse ETL explained:definition, ETL vs CDC differences, common use cases, implementation patterns, and a checklist to decide if you need it.
Kristen
Apr 27, 2026
Tutorials
Reverse ETL:Sync Redshift to MySQL Incrementally with Scheduled Scans
A practical guide to Reverse ETL from Amazon Redshift to MySQL using BladePipe Scheduled Scan (Periodic Scan), with incremental sync settings, troubleshooting tips, and best practices.
Kristen
Apr 27, 2026