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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Access customer information seamlessly from your app database, data warehouses, spreadsheets, or various APIs without the need for coding. Experience a real-time overview of essential customer data directly within platforms like Salesforce, Marketo, HubSpot, and other business systems. Effortlessly consolidate data from multiple sources—be it databases, data warehouses, spreadsheets, or APIs—automatically. You can select specific fields for synchronization, ensuring you receive only the most relevant data. With just a click, integrate your preferred tools into the workflow. Utilize a simple point-and-click interface to transfer necessary data from your databases and spreadsheets to your business applications. This setup empowers your customer success and sales teams by providing them with a comprehensive view of customer data directly within their sales CRM. Benefit from automatic synchronization of information across data warehouses and databases to all your business systems and spreadsheets. Additionally, enjoy the convenience of having all proprietary user and company attributes automatically updated in your CRM. Your support team will also gain immediate access to the vital customer data they require directly from their support system, enhancing overall efficiency and collaboration.

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 Redshift Yes 
Amazon S3 Yes 
Databricks Yes 
Google Cloud BigQuery Yes 
MongoDB Yes 
MySQL Yes 
PostgreSQL Yes 
SQL Server Yes 
Snowflake Yes 
Apache Kafka No 
Apache Parquet No 
Azure Cosmos DB Yes 
DuckDB No 
Google Cloud Storage Yes 
IBM Db2 No 
Intercom Yes 
MotherDuck No 
Pipedrive Yes 
Stripe Yes 
Zendesk Yes 

Integrations

Amazon Redshift Yes 
Amazon S3 Yes 
Databricks Yes 
Google Cloud BigQuery Yes 
MongoDB Yes 
MySQL Yes 
PostgreSQL Yes 
SQL Server Yes 
Snowflake Yes 
Apache Kafka Yes 
Apache Parquet Yes 
Azure Cosmos DB No 
DuckDB Yes 
Google Cloud Storage No 
IBM Db2 Yes 
Intercom No 
MotherDuck Yes 
Pipedrive No 
Stripe No 
Zendesk 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 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 No 
Live Training (Online) No 
In Person Yes 

Types of Training

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

Vendor Details

Company Name

Polytomic

Country

United States

Website

www.polytomic.com

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 

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

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