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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

IBM Event Streams is a comprehensive event streaming service based on Apache Kafka, aimed at assisting businesses in managing and reacting to real-time data flows. It offers features such as machine learning integration, high availability, and secure deployment in the cloud, empowering organizations to develop smart applications that respond to events in real time. The platform is designed to accommodate multi-cloud infrastructures, disaster recovery options, and geo-replication, making it particularly suitable for critical operational tasks. By facilitating the construction and scaling of real-time, event-driven solutions, IBM Event Streams ensures that data is processed with speed and efficiency, ultimately enhancing business agility and responsiveness. As a result, organizations can harness the power of real-time data to drive innovation and improve decision-making processes.

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 Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Kafka Yes 
AWS PrivateLink No 
Amazon Aurora No 
Apache Flink No 
Apache Iceberg No 
Apache Parquet No 
Azure Data Lake No 
ClickHouse No 
DuckDB No 
Elasticsearch No 
Google Cloud BigQuery No 
MariaDB No 
MongoDB No 
Oracle Database No 
PostgreSQL No 
Python No 
Terraform No 
Vitess No 
meshIQ Yes 

Integrations

Apache Kafka Yes 
AWS PrivateLink Yes 
Amazon Aurora Yes 
Apache Flink Yes 
Apache Iceberg Yes 
Apache Parquet Yes 
Azure Data Lake Yes 
ClickHouse Yes 
DuckDB Yes 
Elasticsearch Yes 
Google Cloud BigQuery Yes 
MariaDB Yes 
MongoDB Yes 
Oracle Database Yes 
PostgreSQL Yes 
Python Yes 
Terraform Yes 
Vitess Yes 
meshIQ No 

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

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/event-streams

Vendor Details

Company Name

Streamkap

Founded

2022

Country

United States

Website

streamkap.com

Product Features

Message Queue

Asynchronous Communications Protocol No 
Data Error Reduction No 
Message Encryption No 
On-Premise Installation No 
Roles / Permissions No 
Storage / Retrieval / Deletion No 
System Decoupling 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
Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation