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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 Dash?

Dash grants Mac users instant offline access to a vast collection of over 200 API documentation sets. It serves dual functions as an API documentation explorer and a code snippet repository, allowing for swift searches across the extensive library that encompasses more than 200 APIs and over 100 cheat sheets. Users can also create personalized docsets or suggest new ones for inclusion, providing even more customization options. With Dash, individuals can choose from a diverse selection of documentation sets, and the application guarantees that these selections stay updated effortlessly. Moreover, users have the flexibility to download additional docsets from external sources, further broadening the scope of information at their disposal. Each documentation set is carefully created and upheld to ensure high-quality standards. In addition, Dash integrates smoothly with package managers to customize docsets according to specific requirements, while also offering its own unique documentation sources. Users can efficiently store and reuse code snippets, which can be expanded upon in any application they are working on. The organization of these snippets is user-friendly, featuring tagging, syntax highlighting, and variable placeholders to streamline the management of coding resources. This comprehensive approach enables developers to enhance their productivity and effectiveness throughout their projects while keeping all necessary information at their fingertips.

Media

Media

Integrations Supported

Bash
Bootstrap
C++
Eclipse IDE
GitHub
Jasmine
Jinja
Less
Nekton.ai
NumPy
PyCharm
QuickSilver
R
Sparrow
Sphinx
Sublime Text
TextMate
Vagrant

Integrations Supported

Bash
Bootstrap
C++
Eclipse IDE
GitHub
Jasmine
Jinja
Less
Nekton.ai
NumPy
PyCharm
QuickSilver
R
Sparrow
Sphinx
Sublime Text
TextMate
Vagrant

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Free
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

IBM

Date Founded

1911

Company Location

United States

Company Website

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

Company Facts

Organization Name

Kapeli

Company Website

kapeli.com/dash

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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