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ease
features
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support

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Description

Batch and streaming data processing can be streamlined effortlessly. With the capability to write once and run anywhere, it is ideal for mission-critical production tasks. Beam allows you to read data from a wide variety of sources, whether they are on-premises or cloud-based. It seamlessly executes your business logic across both batch and streaming scenarios. The outcomes of your data processing efforts can be written to the leading data sinks available in the market. This unified programming model simplifies operations for all members of your data and application teams. Apache Beam is designed for extensibility, with frameworks like TensorFlow Extended and Apache Hop leveraging its capabilities. You can run pipelines on various execution environments (runners), which provides flexibility and prevents vendor lock-in. The open and community-driven development model ensures that your applications can evolve and adapt to meet specific requirements. This adaptability makes Beam a powerful choice for organizations aiming to optimize their data processing strategies.

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

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Aurora
Amazon DocumentDB
Amazon Redshift
Apache Flink
Apache Iceberg
Apache Kafka
Azure Database for MySQL
ClickHouse
DuckDB
Google Cloud BigQuery
Google Cloud SQL
JSON
MongoDB
OpenSearch
Oracle Cloud Infrastructure
Python
SQL Server
Slack
Terraform

Integrations

Amazon Aurora
Amazon DocumentDB
Amazon Redshift
Apache Flink
Apache Iceberg
Apache Kafka
Azure Database for MySQL
ClickHouse
DuckDB
Google Cloud BigQuery
Google Cloud SQL
JSON
MongoDB
OpenSearch
Oracle Cloud Infrastructure
Python
SQL Server
Slack
Terraform

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$600 per month
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Apache Software Foundation

Founded

1999

Country

United States

Website

beam.apache.org

Vendor Details

Company Name

Streamkap

Founded

2022

Country

United States

Website

streamkap.com

Product Features

Product Features

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Alternatives

Apache Storm Reviews

Apache Storm

Apache Software Foundation

Alternatives

Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation
Spark Streaming Reviews

Spark Streaming

Apache Software Foundation