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What is dashDB Local?

IBM's dashDB Local, the newest component of the dashDB suite, strengthens the company's hybrid data warehouse initiative by providing businesses with a flexible architecture that minimizes analytics costs amid the fast-changing realms of big data and cloud services. This is made possible through an integrated analytics engine that accommodates multiple deployment options in both private and public cloud settings, facilitating smooth transitions and optimization of analytics tasks. It is now accessible for organizations choosing to deploy in either a hosted private cloud or an on-premises private cloud with a software-defined infrastructure, making dashDB Local a practical option. From an IT standpoint, it simplifies deployment and management processes by leveraging container technology, which guarantees elastic scalability and easy upkeep. For users, dashDB Local speeds up data collection, customizes analytics for particular use cases, and efficiently translates insights into actionable steps, significantly boosting overall productivity. Furthermore, this all-encompassing strategy enables organizations to better utilize their data than ever before, fostering a culture of informed decision-making.

What is EntreDash?

EntreDash is a cutting-edge workspace that leverages artificial intelligence to transform raw concepts, inventions, and side projects into fully developed businesses primed for launch. Tailored specifically for emerging entrepreneurs, it offers access to seasoned strategy consultants and patent attorneys while avoiding costly agency fees. Notable Features: Custom AI Advisory Team: A dedicated group of AI agents functions as Product Strategists, IP Consultants, and Financial Analysts, meticulously assessing ideas, benchmarking against competitors, and delivering crucial market insights. Patent and IP Evaluation: Performs comprehensive searches through international patent registries to assess the originality and practical application of your ideas prior to hiring a legal expert. Ready-to-Launch Materials: Generates vital documents including Business Model Canvases, customer exploration kits, in-depth design analyses, and financial projections. Patent Attorney Connection Hub: Connects entrepreneurs directly with qualified patent lawyers to streamline the legal process. Data Security Assurance: Ensures that there is no data training and fully maintains the intellectual property rights of founders, safeguarding their innovations. This focus on security establishes EntreDash as a reliable ally for aspiring business owners, fostering an environment where creativity can thrive without fear of compromise.

Media

Media

Integrations Supported

Adobe Document Cloud
Cisco AnyConnect
Google
IBM Cloud
SAP Cloud Platform
Salesforce
Spark
Workday Extend

Integrations Supported

Adobe Document Cloud
Cisco AnyConnect
Google
IBM Cloud
SAP Cloud Platform
Salesforce
Spark
Workday Extend

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Version
Free Trial Offered?

Pricing Information

$9.99 per strategy session
Pay-as-you-go, subscription, and credit packs are available. Free version available
Free Version
Free Trial Offered?

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

IBM

Date Founded

1911

Company Location

United States

Company Website

www-01.ibm.com/common/ssi/cgi-bin/ssialias

Company Facts

Organization Name

EntreDash, Inc.

Date Founded

2026

Company Location

United States

Company Website

entredash.com

Categories and Features

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

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