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What is The Autonomous Data Engine?
Currently, there is significant dialogue about how leading companies are utilizing big data to secure a competitive advantage in their respective markets. Your company aspires to align itself with these industry frontrunners. However, it is important to note that over 80% of big data projects fall short of reaching production due to their complex and resource-intensive nature, which can span several months or even years. The technology utilized is highly intricate, and sourcing individuals with the necessary expertise can be both costly and challenging. Additionally, ensuring the automation of the entire data workflow, from its origin to its final application, is crucial for achieving success. This encompasses the automation of migrating data and workloads from legacy Data Warehouse systems to cutting-edge big data platforms, as well as overseeing and managing complex data pipelines in real-time settings. In contrast, relying on disparate point solutions or custom development approaches can lead to higher expenses, reduced flexibility, excessive time consumption, and the need for specialized skills for both construction and maintenance. Ultimately, embracing a more efficient strategy for managing big data not only has the potential to lower costs but also to significantly boost operational productivity. Furthermore, as organizations increasingly turn to big data solutions, a proactive approach can position your company to better navigate the competitive landscape.
What is Numbers Station?
Accelerating the insight-gathering process and eliminating barriers for data analysts is essential. By utilizing advanced automation within the data stack, organizations can extract insights significantly faster—up to ten times quicker—due to advancements in AI technology. This state-of-the-art intelligence, initially created at Stanford's AI lab, is now readily available for implementation in your business. With the ability to use natural language, you can unlock the value from complex, chaotic, and siloed data in just minutes. You simply need to direct your data on your goals, and it will quickly generate the corresponding code for you to execute. This automation is designed to be highly customizable, addressing the specific intricacies of your organization instead of relying on one-size-fits-all solutions. It enables users to securely automate workflows that are heavy on data within the modern data stack, relieving data engineers from the continuous influx of demands. Imagine accessing insights in mere minutes rather than enduring long waits that could last months, with solutions specifically tailored and refined to meet your organization’s needs. Additionally, it integrates effortlessly with a range of upstream and downstream tools like Snowflake, Databricks, Redshift, and BigQuery, all while being built on the dbt framework, ensuring a holistic strategy for data management. This groundbreaking solution not only boosts operational efficiency but also fosters an environment of data-driven decision-making across every level of your organization, encouraging everyone to leverage data effectively. As a result, the entire enterprise can pivot towards a more informed and agile approach in tackling business challenges.
Integrations Supported
AWS Marketplace
Amazon Redshift
Databricks Data Intelligence Platform
Google Cloud BigQuery
Looker
Microsoft Power BI
Snowflake
Tableau
Integrations Supported
AWS Marketplace
Amazon Redshift
Databricks Data Intelligence Platform
Google Cloud BigQuery
Looker
Microsoft Power BI
Snowflake
Tableau
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
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
Infoworks
Date Founded
2014
Company Location
United States
Company Website
www.infoworks.io
Company Facts
Organization Name
Numbers Station
Company Location
United States
Company Website
www.numbersstation.ai/
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates
Categories and Features
Data Analysis
Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics
ETL
Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control