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What is IBM Informix on Cloud?

IBM® Informix® on Cloud provides a comprehensive suite of features akin to those found in traditional on-premises deployments, but significantly reduces the expenses, intricacies, and risks linked to managing infrastructure. By hosting the Informix database on IBM Cloud®, this solution empowers clients to leverage the full potential of an on-premises environment while alleviating the difficulties commonly associated with maintaining infrastructure. Users of Informix on Cloud experience the advantages of a robust database engine that adeptly integrates time series, spatial, NoSQL, and SQL data, and offers straightforward access through MQTT, REST, and MongoDB APIs. This innovative offering streamlines and accelerates cloud implementation while capitalizing on the exceptional performance of the Informix engine, which is specifically crafted to seamlessly handle various data types. Furthermore, by utilizing flexible hosting arrangements and versatile software licensing, organizations can significantly reduce their infrastructure upkeep costs and simplify operational processes, all while choosing the optimal configuration tailored to their unique needs, supported by ongoing assistance. Consequently, Informix on Cloud emerges as an excellent option for businesses aiming to modernize their data management approaches without bearing the conventional challenges associated with self-hosting, thus enhancing overall efficiency and adaptability in their operations.

What is DoubleCloud?

Streamline your operations and cut costs by utilizing straightforward open-source solutions to simplify your data pipelines. From the initial stages of data ingestion to final visualization, every element is cohesively integrated, managed entirely, and highly dependable, ensuring that your engineering team finds joy in handling data. You have the choice of using any of DoubleCloud’s managed open-source services or leveraging the full range of the platform’s features, which encompass data storage, orchestration, ELT, and real-time visualization capabilities. We provide top-tier open-source services including ClickHouse, Kafka, and Airflow, which can be deployed on platforms such as Amazon Web Services or Google Cloud. Additionally, our no-code ELT tool facilitates immediate data synchronization across different systems, offering a rapid, serverless solution that meshes seamlessly with your current infrastructure. With our managed open-source data visualization tools, generating real-time visual interpretations of your data through interactive charts and dashboards is a breeze. Our platform is specifically designed to optimize the daily workflows of engineers, making their tasks not only more efficient but also more enjoyable. Ultimately, this emphasis on user-friendliness and convenience is what distinguishes us from competitors in the market. We believe that a better experience leads to greater productivity and innovation within teams.

Media

Media

Integrations Supported

COZYROC SSIS+ Suite
IBM Informix
MongoDB

Integrations Supported

Amazon S3
Amazon Web Services (AWS)
Apache Airflow
Apache Kafka
Apache ZooKeeper
ClickHouse
Google Cloud Platform
Microsoft Azure
Terraform

API Availability

Has API

API Availability

Has API

Pricing Information

$1,250 per instance

Pricing Information

$0.024 per 1 GB per month
Free Trial Offered?

Supported Platforms

SaaS
On-Prem

Supported Platforms

SaaS

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Online Training
On-Site Training

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/cloud/informix

Company Facts

Organization Name

DoubleCloud

Company Location

United Arab Emirates

Company Website

double.cloud/

Categories and Features

Database

Not specified

Relational Database

Not specified

Categories and Features

Big Data

Not specified

Data Pipeline

Not specified

Data Visualization

Not specified

Database

Not specified

ETL

Not specified

Relational Database

Not specified

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