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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Informatica's AI-driven Data Engineering Streaming empowers data engineers to efficiently ingest, process, and analyze real-time streaming data, offering valuable insights. The advanced serverless deployment feature, coupled with an integrated metering dashboard, significantly reduces administrative burdens. With CLAIRE®-enhanced automation, users can swiftly construct intelligent data pipelines that include features like automatic change data capture (CDC). This platform allows for the ingestion of thousands of databases, millions of files, and various streaming events. It effectively manages databases, files, and streaming data for both real-time data replication and streaming analytics, ensuring a seamless flow of information. Additionally, it aids in the discovery and inventorying of all data assets within an organization, enabling users to intelligently prepare reliable data for sophisticated analytics and AI/ML initiatives. By streamlining these processes, organizations can harness the full potential of their data assets more effectively than ever before.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

AWS PrivateLink No 
Amazon Aurora No 
Amazon DocumentDB No 
Amazon Redshift No 
Amazon S3 No 
Apache Iceberg No 
Apache Kafka No 
Azure Data Lake No 
Azure Database for MySQL No 
ClickHouse No 
Databricks No 
Elasticsearch No 
IBM Db2 No 
MariaDB No 
Oracle Cloud Infrastructure No 
Oracle Database No 
Redis No 
SQL Server No 
Snowflake No 
Terraform No 

Integrations

AWS PrivateLink Yes 
Amazon Aurora Yes 
Amazon DocumentDB Yes 
Amazon Redshift Yes 
Amazon S3 Yes 
Apache Iceberg Yes 
Apache Kafka Yes 
Azure Data Lake Yes 
Azure Database for MySQL Yes 
ClickHouse Yes 
Databricks Yes 
Elasticsearch Yes 
IBM Db2 Yes 
MariaDB Yes 
Oracle Cloud Infrastructure Yes 
Oracle Database Yes 
Redis Yes 
SQL Server Yes 
Snowflake Yes 
Terraform Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Pricing Details

$600 per month
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
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 Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Informatica

Country

United States

Website

www.informatica.com/products/big-data/big-data-streaming.html

Vendor Details

Company Name

Streamkap

Founded

2022

Country

United States

Website

streamkap.com

Product Features

Streaming Analytics

Data Enrichment Yes 
Data Wrangling / Data Prep Yes 
Multiple Data Source Support Yes 
Process Automation Yes 
Real-time Analysis / Reporting Yes 
Visualization Dashboards Yes 

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