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What is Stackable?

The Stackable data platform was designed with an emphasis on adaptability and transparency. It features a thoughtfully curated selection of premier open-source data applications such as Apache Kafka, Apache Druid, Trino, and Apache Spark. In contrast to many of its rivals that either push their proprietary offerings or increase reliance on specific vendors, Stackable adopts a more forward-thinking approach. Each data application seamlessly integrates and can be swiftly added or removed, providing users with exceptional flexibility. Built on Kubernetes, it functions effectively in various settings, whether on-premises or within cloud environments. Getting started with your first Stackable data platform requires only stackablectl and a Kubernetes cluster, allowing you to begin your data journey in just minutes. You can easily configure your one-line startup command right here. Similar to kubectl, stackablectl is specifically designed for effortless interaction with the Stackable Data Platform. This command line tool is invaluable for deploying and managing stackable data applications within Kubernetes. With stackablectl, users can efficiently create, delete, and update various components, ensuring a streamlined operational experience tailored to your data management requirements. The combination of versatility, convenience, and user-friendliness makes it a top-tier choice for both developers and data engineers. Additionally, its capability to adapt to evolving data needs further enhances its appeal in a fast-paced technological landscape.

What is CData Python Connectors?

CData Python Connectors simplify the process for Python developers to link up with various data sources, including SaaS, Big Data, NoSQL, and relational databases. These connectors offer straightforward database interfaces compliant with DB-API, enabling seamless integration with popular platforms like Jupyter Notebook and SQLAlchemy. By encapsulating SQL within APIs and data protocols, CData Python Connectors facilitate effortless data access for Python applications. They empower users to connect to over 150 data sources from the realms of SaaS and Big Data while benefiting from robust Python processing capabilities. Serving as an essential tool for Python developers, the CData Python Connectors ensure consistent connectivity and provide user-friendly interfaces for a vast array of data sources, including those in the SaaS/Cloud and NoSQL domains. With these connectors, accessing and manipulating diverse datasets has never been easier. You can explore further or download a 30-day free trial at: https://www.cdata.com/python/.

Media

Media

Integrations Supported

Acumatica Cloud ERP
Airtable
Apache Airflow
Apache Cassandra
Apache Druid
Apache HBase
Apache Hive
Apache Iceberg
Apache Kafka
Apache Spark
Apache ZooKeeper
Athena
Basecamp
Box
Git
Kubernetes
MinIO
Prometheus
Trino
Xero

Integrations Supported

Acumatica Cloud ERP
Airtable
Apache Airflow
Apache Cassandra
Apache Druid
Apache HBase
Apache Hive
Apache Iceberg
Apache Kafka
Apache Spark
Apache ZooKeeper
Athena
Basecamp
Box
Git
Kubernetes
MinIO
Prometheus
Trino
Xero

API Availability

Has API

API Availability

Has API

Pricing Information

Free
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Stackable

Date Founded

2020

Company Location

Germany

Company Website

stackable.tech/

Company Facts

Organization Name

CData Software

Company Location

United States

Company Website

cdata.com

Categories and Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Data Warehouse

Ad hoc Query
Analytics
Data Integration
Data Migration
Data Quality Control
ETL - Extract / Transfer / Load
In-Memory Processing
Match & Merge

Categories and Features

API Management

API Design
API Lifecycle Management
Access Control
Analytics
Dashboard
Developer Portal
Testing Management
Threat Protection
Traffic Control
Version Control

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