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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Debezium is a powerful open-source platform designed for capturing changes in data across distributed systems. By initiating the service and directing it towards your databases, your applications can seamlessly respond to every insert, update, and deletion made by other applications interacting with your databases. Known for its speed and reliability, Debezium ensures that your applications can quickly react to changes and remain resilient even in the face of failures. Since data is in a constant state of flux, Debezium empowers your applications to react to these alterations without requiring modifications to the applications responsible for the data changes. It continuously observes your databases, enabling your applications to stream every change at the row level in the exact order they were committed. This technology can be leveraged to refresh caches, update search indices, create derived views and datasets, synchronize other data sources, and much more. Moreover, you can extract this functionality from your core applications and build dedicated services to handle these tasks efficiently. Embracing Debezium allows for enhanced data management and improved application performance.

Description

Streamkap is a modern streaming ETL platform built on top of Apache Kafka and Flink, designed to replace batch ETL with streaming in minutes. It enables data movement with sub-second latency using change data capture for minimal impact on source databases and real-time updates. The platform offers dozens of pre-built, no-code source connectors, automated schema drift handling, updates, data normalization, and high-performance CDC for efficient and low-impact data movement. Streaming transformations power faster, cheaper, and richer data pipelines, supporting Python and SQL transformations for common use cases like hashing, masking, aggregations, joins, and unnesting JSON. Streamkap allows users to connect data sources and move data to target destinations with an automated, reliable, and scalable data movement platform. It supports a broad range of event and database sources.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS PrivateLink No 
Amazon S3 No 
Apache Iceberg No 
Apache Kafka No 
Azure Data Lake No 
DuckDB No 
Elasticsearch No 
JSON No 
Kestra Yes 
MongoDB No 
MotherDuck No 
MySQL No 
Oracle Cloud Infrastructure No 
Oracle Database No 
Python No 
SQL Server No 
Slack No 
Snowflake No 
Terraform No 

Integrations

AWS PrivateLink Yes 
Amazon S3 Yes 
Apache Iceberg Yes 
Apache Kafka Yes 
Azure Data Lake Yes 
DuckDB Yes 
Elasticsearch Yes 
JSON Yes 
Kestra No 
MongoDB Yes 
MotherDuck Yes 
MySQL Yes 
Oracle Cloud Infrastructure Yes 
Oracle Database Yes 
Python Yes 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
Terraform Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

$600 per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Debezium

Founded

2014

Country

United States

Website

debezium.io

Vendor Details

Company Name

Streamkap

Founded

2022

Country

United States

Website

streamkap.com

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

Product Features

ETL

Data Analysis No 
Data Filtering No 
Data Quality Control No 
Job Scheduling No 
Match & Merge No 
Metadata Management No 
Non-Relational Transformations No 
Version Control No 

Alternatives

Alternatives

Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation