Data Engine
Data Movement Platform
Is your legacy Change Data Capture platform letting
you down?

Optimize your data engineering with industry's first-ever
Hadoop CDC capability data movement platform

Deploy CDC pipelines in minutes with Sapper’s in-built templates 

Capture databases updates uninterruptedly

Save 60% development time and effort 

Ensure data transfer reliability with zero data loss 

Reusable pre-built integration templates

Synchronize any source with any target

Enable your team with real-time analytics & real-time ops 

One-stop shop for all enterprise-level data replication needs

Explore our Connectors

Data Movement Platform 

Is your legacy Change Data Capture platform letting you down? 

Optimize your data engineering with industry’s first-ever Hadoop CDC capability data pipelining platform 

Get Started

Deploy CDC pipelines in minutes with Sapper’s in-built templates 

Capture databases updates uninterruptedly

Save 60% development time and effort 

Ensure data transfer reliability with zero data loss 

Reusable pre-built integration templates

Synchronize any source with any target

Enable your team with real-time analytics & real-time ops 

One-stop shop for all enterprise-level data replication needs

Change Data Capture (CDC) 

Sapper uses the CDC Data Integration approach that allows high-velocity data to achieve reliable, low latency, and scalable data replication using fewer computation resources. Change Data Capture (CDC), enabled companies to deliver new data changes to BI (Business Intelligence) tools and team members in real-time, keeping them up to date. 

Companies need access to real-time data streams for Data Analytics. Sapper mainly uses Log-Based CDC to ensure no performance impact on the sources. Only the changed data is transferred for faster performance. CDC excludes the process of bulk data loading by implementing incremental loading of data in nearly real-time. 

Sapper CDC engine provides you a rare ability to read newly written data from HDFS volumes and sync it to any target to save a considerable amount of time. 

Snapshot: Initial snapshot of a database’s current state can be taken if a connector is started and not all logs still exist. Typically, this is the case when the database has been running for some time and has discarded transaction logs that are no longer needed for transaction recovery or replication. There are different modes for performing snapshots.

Filters: You can configure the set of captured schemas, tables and columns with include/exclude list filters.

Masking: The values from specific columns can be masked, which contains sensitive data.

Monitoring: Most connectors can be monitored by using JMX.

Message Transformations: Message transformations can be done for Message routing, Content-based routing, and Filtering.

Ingest data from any source to any destination 

Fully automated 

Generate an accurate, metadata-driven schema automatically when loading data from any source. With automated data validation, you can save hours of time. 

Resilient architecture  

Utilize built-in automation features to predict, detect, and promptly remedy pipeline faults. Build and manage intelligent, error-free data pipelines with complete confidence. 

Indigest data from any source, destination, or format 

Build ingestion pipelines10 times  faster than the conventional  tools. Follow  Sapper’s ‘s step-by-step  instructions,  configure  the  settings,  and  powerful  pipelines  will  be  operational  within  minutes. 

Ingest data from any source to any destination 

Fully automated 

Generate an accurate, metadata-driven schema automatically when loading data from any source. With automated data validation, you can save hours of time. 

Resilient architecture  

Utilize built-in automation features to predict, detect, and promptly remedy pipeline faults. Build and manage intelligent, error-free data pipelines with complete confidence. 

Indigest data from any source, destination, or format 

Build ingestion pipelines10 times  faster than the conventional  tools. Configure powerful  pipelines  will  be  operational  within  minutes. 

Fully Automated and Reliable Data Pipelines for Faster Analytics

Sapper’s fully managed and automated data pipeline loads all your data to the warehouse or data lakes at scale in real-time, ready for analysis.

Fully Automated and Reliable Data Pipelines for Faster Analytics

Sapper’s fully managed and automated data pipeline loads all your data to the warehouse or data lakes at scale in real-time, ready for analysis.

Data Delivery Assurance

Just configure the source and destination. Sapper will ensure timely and accurate data delivery from source to target.
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Easy to Use

Anyone can easily build pipelines with our simple drag and drop features. Your pipelines will be ready in no time, just conceptualize and start building.
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Highly Configurable

Sapper provides you the ability to configure the pipeline as per your needs. e.g., if you can stop data transfer on error or choose to ignore errors and load the valid data. There are loads of other useful configurations available.

Fast & Scalable

Near real-time delivery of data from source to target without affecting the source application performance. No dip in performance at peak load time too.
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No Code, Low Maintenance

You don’t need to maintain a highly skilled technical team to develop complex integrations. Adopt new platforms and technologies faster. It will be as easy as changing configurations.

Fault-Tolerant

If the source system fails in between, the state is maintained and once data transfer is resumed, it will be picked up from that point, saving you precious time and resources.

Contact Us

Data Delivery Assurance

Just configure the source and destination. Sapper will ensure timely and accurate data delivery from source to target.
.
.
.

Easy to Use

Anyone can easily build pipelines with our simple drag and drop features. Your pipelines will be ready in no time, just conceptualize and start building.
.
.

Highly Configurable

Sapper provides you the ability to configure the pipeline as per your needs. e.g., if you can stop data transfer on error or choose to ignore errors and load the valid data. There are loads of other useful configurations available.

Fast & Scalable

Near real-time delivery of data from source to target without affecting the source application performance. No dip in performance at peak load time too.
.

No Code, Low Maintenance

You don’t need to maintain a highly skilled technical team to develop complex integrations. Adopt new platforms and technologies faster. It will be as easy as changing configurations.

Fault-Tolerant

If the source system fails in between, the state is maintained and once data transfer is resumed, it will be picked up from that point, saving you precious time and resources.

Contact Us

Change Data Capture (CDC) 

Sapper uses the CDC Data Integration approach that allows high-velocity data to achieve reliable, low latency, and scalable data replication using fewer computation resources. Change Data Capture (CDC), enabled companies to deliver new data changes to BI (Business Intelligence) tools and team members in real-time, keeping them up to date. 

Companies need access to real-time data streams for Data Analytics. Sapper mainly uses Log-Based CDC to ensure no performance impact on the sources. Only the changed data is transferred for faster performance. CDC excludes the process of bulk data loading by implementing incremental loading of data in nearly real-time. 

Sapper CDC engine provides you a rare ability to read newly written data from HDFS volumes and sync it to any target to save a considerable amount of time. 

Snapshot: Initial snapshot of a database’s current state can be taken if a connector is started and not all logs still exist. Typically, this is the case when the database has been running for some time and has discarded transaction logs that are no longer needed for transaction recovery or replication. There are different modes for performing snapshots.

Filters: You can configure the set of captured schemas, tables and columns with include/exclude list filters.

Masking: The values from specific columns can be masked, which contains sensitive data.

Monitoring: Most connectors can be monitored by using JMX.

Message Transformations: Message transformations can be done for Message routing, Content-based routing, and Filtering.

Without SapperWithout Sapper
Without SapperWithout Sapper

Simplified stream processing to reduce development time 

Simplified stream processing to reduce development time 

Advanced features & functionalities  

Replace missing or out-of-order data with Sapper’s built-in rich feature functionalities. Utilize  sophisticated lookups and table  processors to enhance incoming  streams. 

Unparallel speed and scale 

Use Sapper’s robust engine to  effortlessly process over 1 million events  per second — both  on premises  and in the cloud. 
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Highly intuitive

Configure autoscaling for  all of  your  pipelines with ease. Optimize  resource  use  based  on  conditions  such as memory, load, and container  availability. 

Advanced features & functionalities  

Replace missing or out-of-order data with Sapper’s built-in rich feature functionalities. Utilize  sophisticated lookups and table  processors to enhance incoming  streams. 

Unparallel speed and scale 

Use Sapper’s robust engine to  effortlessly process over 1 million events  per second — both  on premises  and in the cloud. 
.
.

Highly intuitive

Configure autoscaling for  all of  your  pipelines with ease. Optimize  resource  use  based  on  conditions  such as memory, load, and container  availability. 

Ready to embrace the new world of work?

Let’s Talk

Ready to embrace the new world of work?

Let’s Talk