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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

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.

Description

WarpStream serves as a data streaming platform that is fully compatible with Apache Kafka, leveraging object storage to eliminate inter-AZ networking expenses and disk management, while offering infinite scalability within your VPC. The deployment of WarpStream occurs through a stateless, auto-scaling agent binary, which operates without the need for local disk management. This innovative approach allows agents to stream data directly to and from object storage, bypassing local disk buffering and avoiding any data tiering challenges. Users can instantly create new “virtual clusters” through our control plane, accommodating various environments, teams, or projects without the hassle of dedicated infrastructure. With its seamless protocol compatibility with Apache Kafka, WarpStream allows you to continue using your preferred tools and software without any need for application rewrites or proprietary SDKs. By simply updating the URL in your Kafka client library, you can begin streaming immediately, ensuring that you never have to compromise between reliability and cost-effectiveness again. Additionally, this flexibility fosters an environment where innovation can thrive without the constraints of traditional infrastructure.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Apache Kafka Yes 
Oracle Cloud Infrastructure Yes 
Amazon Aurora Yes 
Amazon DocumentDB Yes 
Amazon DynamoDB Yes 
Apache Iceberg Yes 
Apache ZooKeeper No 
Azure Database for MySQL Yes 
DuckDB Yes 
Fly.io No 
Google Cloud BigQuery Yes 
Google Cloud Platform No 
Google Cloud SQL Yes 
IBM Cloud No 
Microsoft Azure No 
PostgreSQL Yes 
SQL Server Yes 
Snowflake Yes 
Vitess Yes 

Integrations

Amazon S3 Yes 
Apache Kafka Yes 
Oracle Cloud Infrastructure Yes 
Amazon Aurora No 
Amazon DocumentDB No 
Amazon DynamoDB No 
Apache Iceberg No 
Apache ZooKeeper Yes 
Azure Database for MySQL No 
DuckDB No 
Fly.io Yes 
Google Cloud BigQuery No 
Google Cloud Platform Yes 
Google Cloud SQL No 
IBM Cloud Yes 
Microsoft Azure Yes 
PostgreSQL No 
SQL Server No 
Snowflake No 
Vitess No 

Pricing Details

$600 per month
Free Trial Yes 
Free Version No 

Pricing Details

$2,987 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 Yes 
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) Yes 
In Person No 

Vendor Details

Company Name

Streamkap

Founded

2022

Country

United States

Website

streamkap.com

Vendor Details

Company Name

WarpStream

Country

United States

Website

www.warpstream.com

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 

Product Features

Big Data

Collaboration No 
Data Blends No 
Data Cleansing No 
Data Mining No 
Data Visualization No 
Data Warehousing No 
High Volume Processing No 
No-Code Sandbox No 
Predictive Analytics No 
Templates No 

Streaming Analytics

Data Enrichment No 
Data Wrangling / Data Prep No 
Multiple Data Source Support No 
Process Automation No 
Real-time Analysis / Reporting No 
Visualization Dashboards No 

Alternatives

Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation
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