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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

Facilitates seamless data exchange among components within microservice architectures. When utilized as a communication method for microservices, it not only streamlines integration but also enhances reliability and scalability. The system allows for reading and writing data in nearly real-time, while providing the flexibility to set data throughput and storage durations according to specific requirements. Users can finely configure resources for processing data streams, accommodating anything from small streams of 100 KB/s to more substantial ones at 100 MB/s. Additionally, Yandex Data Transfer enables the delivery of a single stream to various targets with distinct retention policies. Data is automatically replicated across multiple availability zones that are geographically distributed, ensuring redundancy and accessibility. After the initial setup, managing data streams can be done centrally through either the management console or the API, offering convenient oversight. It also supports continuous data collection from diverse sources, including website browsing histories and application logs, making it a versatile tool for real-time analytics. Overall, Yandex Data Streams stands out for its robust capabilities in handling various data ingestion needs across different platforms.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Amazon S3 Yes 
Apache Kafka Yes 
ClickHouse Yes 
AWS PrivateLink Yes 
Amazon Aurora Yes 
Amazon DynamoDB Yes 
Amazon Kinesis No 
Amazon Redshift Yes 
Apache Flink Yes 
Apache Iceberg Yes 
CockroachDB Yes 
Databricks Yes 
Google Cloud BigQuery Yes 
IBM Db2 Yes 
MySQL Yes 
OpenSearch Yes 
Oracle Cloud Infrastructure Yes 
Oracle Database Yes 
SQL Server Yes 
Slack Yes 

Integrations

Amazon S3 Yes 
Apache Kafka Yes 
ClickHouse Yes 
AWS PrivateLink No 
Amazon Aurora No 
Amazon DynamoDB No 
Amazon Kinesis Yes 
Amazon Redshift No 
Apache Flink No 
Apache Iceberg No 
CockroachDB No 
Databricks No 
Google Cloud BigQuery No 
IBM Db2 No 
MySQL No 
OpenSearch No 
Oracle Cloud Infrastructure No 
Oracle Database No 
SQL Server No 
Slack No 

Pricing Details

$600 per month
Free Trial Yes 
Free Version No 

Pricing Details

$0.086400 per GB
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) Yes 
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 Yes 
Live Training (Online) Yes 
In Person No 

Vendor Details

Company Name

Streamkap

Founded

2022

Country

United States

Website

streamkap.com

Vendor Details

Company Name

Yandex

Founded

1997

Country

Russia

Website

cloud.yandex.com/en/services/data-streams

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

Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation

Alternatives