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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Say goodbye to the complexities of low-level coding and integrating intricate systems. With SQL, you can effortlessly construct and deploy data pipelines in mere minutes. This data engineering service empowers both developers and data engineers to easily create and implement real-time data pipelines tailored for data-centric applications. The platform provides ready-made connectors for various messaging systems, storage solutions, and database engines, simplifying the process of connecting to and discovering available data. Each established connection generates a stream that facilitates data movement to or from the respective system. Utilizing Decodable, you can design your pipelines using SQL, where streams play a crucial role in transmitting data to and from your connections. Additionally, streams can be utilized to link pipelines, enabling the management of even the most intricate processing tasks. You can monitor your pipelines to ensure a steady flow of data and create curated streams for collaborative use by other teams. Implement retention policies on streams to prevent data loss during external system disruptions, and benefit from real-time health and performance metrics that keep you informed about the operation's status, ensuring everything is running smoothly. Ultimately, Decodable streamlines the entire data pipeline process, allowing for greater efficiency and quicker results in data handling and analysis.

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

Amazon Aurora No 
Amazon DocumentDB No 
Amazon S3 No 
Apache Iceberg No 
Apache Kafka No 
DuckDB No 
Elasticsearch No 
Google Cloud BigQuery No 
Google Cloud SQL No 
IBM Db2 No 
JSON No 
MariaDB No 
Oracle Database No 
Python No 
Redis No 
SQL Server No 
Slack No 
Snowflake No 
Vitess No 

Integrations

Amazon Aurora Yes 
Amazon DocumentDB Yes 
Amazon S3 Yes 
Apache Iceberg Yes 
Apache Kafka Yes 
DuckDB Yes 
Elasticsearch Yes 
Google Cloud BigQuery Yes 
Google Cloud SQL Yes 
IBM Db2 Yes 
JSON Yes 
MariaDB Yes 
Oracle Database Yes 
Python Yes 
Redis Yes 
SQL Server Yes 
Slack Yes 
Snowflake Yes 
Vitess Yes 

Pricing Details

$0.20 per task per hour
Free Trial No 
Free Version Yes 

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

Decodable

Founded

2021

Country

United States

Website

www.decodable.co/product

Vendor Details

Company Name

Streamkap

Founded

2022

Country

United States

Website

streamkap.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 

Alternatives

Alternatives

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Apache Kafka

The Apache Software Foundation
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Condense

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