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Average Ratings 0 Ratings

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features
design
support

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Write a Review

Description

Peliqan.io provides a data platform that is all-in-one for business teams, IT service providers, startups and scale-ups. No data engineer required. Connect to databases, data warehouses, and SaaS applications. In a spreadsheet interface, you can explore and combine data. Business users can combine multiple data sources, clean data, edit personal copies, and apply transformations. Power users can use SQL on anything, and developers can use Low-code to create interactive data apps, implement writing backs and apply machine intelligence.

Description

The Stackable data platform was crafted with a focus on flexibility and openness. It offers a carefully selected range of top-notch open source data applications, including Apache Kafka, OpenSearch, Trino, and Apache Spark. Unlike many competitors that either promote their proprietary solutions or enhance vendor dependence, Stackable embraces a more innovative strategy. All data applications are designed to integrate effortlessly and can be added or removed with remarkable speed. Built on Kubernetes, it is capable of operating in any environment, whether on-premises or in the cloud. To initiate your first Stackable data platform, all you require is stackablectl along with a Kubernetes cluster. In just a few minutes, you will be poised to begin working with your data. You can set up your one-line startup command right here. Much like kubectl, stackablectl is tailored for seamless interaction with the Stackable Data Platform. Utilize this command line tool for deploying and managing stackable data applications on Kubernetes. With stackablectl, you have the ability to create, delete, and update components efficiently, ensuring a smooth operational experience for your data management needs. The versatility and ease of use make it an excellent choice for developers and data engineers alike.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Apache Airflow No 
Apache Druid No 
Apache HBase No 
Apache Iceberg No 
Apache Kafka No 
Apache NiFi No 
Apache Spark No 
Apache ZooKeeper No 
Docker No 
Exact Online Yes 
Git No 
Klarna Yes 
MinIO No 
NetSuite Yes 
PayPal Yes 
Python Yes 
QuickBooks Online Yes 
SQL Yes 
Xero Yes 
e-conomic Yes 

Integrations

Apache Airflow Yes 
Apache Druid Yes 
Apache HBase Yes 
Apache Iceberg Yes 
Apache Kafka Yes 
Apache NiFi Yes 
Apache Spark Yes 
Apache ZooKeeper Yes 
Docker Yes 
Exact Online No 
Git Yes 
Klarna No 
MinIO Yes 
NetSuite No 
PayPal No 
Python No 
QuickBooks Online No 
SQL No 
Xero No 
e-conomic No 

Pricing Details

$199
$199 per month with 12 month contract
Free Trial Yes 
Free Version No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 No 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

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

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Peliqan

Founded

2022

Country

Belgium

Website

peliqan.io

Vendor Details

Company Name

Stackable

Founded

2020

Country

Germany

Website

stackable.tech/

Product Features

Data Warehouse

Ad hoc Query No 
Analytics Yes 
Data Integration Yes 
Data Migration No 
Data Quality Control No 
ETL - Extract / Transfer / Load Yes 
In-Memory Processing No 
Match & Merge No 

Product Features

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration No 
Data Migration Yes 
Data Quality Control No 
Data Security Yes 
Information Governance No 
Master Data Management No 
Match & Merge No 

Data Warehouse

Ad hoc Query No 
Analytics Yes 
Data Integration Yes 
Data Migration Yes 
Data Quality Control No 
ETL - Extract / Transfer / Load Yes 
In-Memory Processing No 
Match & Merge No 

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