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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 IBM watsonx.data?

Utilize your data, no matter where it resides, by employing an open and hybrid data lakehouse specifically crafted for AI and analytics applications. Effortlessly combine data from diverse sources and formats, all available through a central access point that includes a shared metadata layer. Boost both cost-effectiveness and performance by matching particular workloads with the most appropriate query engines. Speed up the identification of generative AI insights through integrated natural-language semantic search, which removes the necessity for SQL queries. It's crucial to build your AI applications on reliable data to improve their relevance and precision. Unleash the full potential of your data, regardless of its location. Merging the speed of a data warehouse with the flexibility of a data lake, watsonx.data is designed to promote the growth of AI and analytics capabilities across your organization. Choose the ideal engines that cater to your workloads to enhance your strategy effectively. Benefit from the versatility to manage costs, performance, and functionalities with access to a variety of open engines, including Presto, Presto C++, Spark Milvus, and many others, ensuring that your tools perfectly meet your data requirements. This all-encompassing strategy fosters innovative solutions that can propel your business into the future, ensuring sustained growth and adaptability in an ever-changing market landscape.

Media

Media

Integrations Supported

IBM Cloud
Salesforce
Adobe Document Cloud
Cloudera
Dataloop AI
Dropbox
Hadoop
Hopsworks
IBM Netezza Performance Server
LanceDB
LastMile AI
MyScale
Neo4j
Presto
Presto
SAP Cloud Platform
SingleStore
Vald
Workday Extend
Zilliz Cloud

Integrations Supported

IBM Cloud
Salesforce
Adobe Document Cloud
Cloudera
Dataloop AI
Dropbox
Hadoop
Hopsworks
IBM Netezza Performance Server
LanceDB
LastMile AI
MyScale
Neo4j
Presto
Presto
SAP Cloud Platform
SingleStore
Vald
Workday Extend
Zilliz Cloud

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

IBM

Date Founded

1911

Company Location

United States

Company Website

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

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/watsonx-data

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

Data Warehouse

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

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