dashDB LocalIBM
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Related Products
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About
Using fit-for-purpose models and visual flood impact information, businesses can operationalize risk mitigation, enhance informed decision making and create greater situational awareness. FloodMapp products are powered by DASH, a groundbreaking hydraulic model purpose-built to give emergency managers rapid and localized flood data they can depend on for decision making. DASH can scale across states without the expensive price-tag to protect all communities and assets. Rapidly updating and dynamic flood information to power informed decisions. Community and asset-level impact information to prevent losses instead of broad flood information. Our core mission is to build a safer future. We want to see a world where no lives are lost in flood events. Where people get home safe to their families and loved ones, always. In the face of a changing climate, we want to see more resilient, prepared and prosperous communities.
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About
As the newest edition to the IBM dashDB family, dashDB Local rounds out IBM's hybrid data warehouse strategy, providing organizations the most flexible architecture needed to lower the cost model of analytics in the dynamic world of big data and the cloud. How is this possible? Through a common analytics engine, with different deployment options across private and public clouds, analytics workloads can be moved and optimized with ease. dashDB Local is now an option when you prefer deployment on a hosted private cloud or on-premises private cloud through a software-defined infrastructure. From an IT standpoint, dashDB Local simplifies deployment and management through container technology, with elastic scaling and easy maintenance. From a user standpoint, dashDB Local provides the speed needed to quickly cycle through the process of data acquisition, applies the right analytics to meet a specific use case, and operationalizes the insights.
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Platforms Supported
Windows
Not Supported
Mac
Not Supported
Linux
Not Supported
Cloud
Supported
On-Premises
Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Any organization looking for a real-time, asset specific flood forecasting and mapping solution
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Audience
Organizations seeking a hybrid data warehousing solution to simplify deployment and management through container technology
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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Support
Phone Support
Supported
24/7 Live Support
Supported
Online
Supported
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API
Offers API
Not Supported
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API
Offers API
Not Supported
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Pricing
No information available.
Free Version
Not Supported
Free Trial
Not Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Supported
Live Online
Supported
In Person
Supported
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Company InformationFloodMapp
Founded: 2016
Australia
www.floodmapp.com
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Company InformationIBM
Founded: 1911
United States
www-01.ibm.com/common/ssi/cgi-bin/ssialias
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Categories |
Categories |
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Data Warehouse Features
Ad hoc Query
Not Supported
Analytics
Not Supported
Data Integration
Not Supported
Data Migration
Not Supported
Data Quality Control
Supported
ETL - Extract / Transfer / Load
Supported
In-Memory Processing
Not Supported
Match & Merge
Not Supported
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Integrations
Adobe Document Cloud
Not Supported
ArcGIS
Supported
Cisco AnyConnect
Not Supported
IBM Cloud
Not Supported
SAP Cloud Platform
Not Supported
Salesforce
Not Supported
Spark
Not Supported
Workday Extend
Not Supported
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Integrations
Adobe Document Cloud
Supported
ArcGIS
Not Supported
Cisco AnyConnect
Supported
IBM Cloud
Supported
SAP Cloud Platform
Supported
Salesforce
Supported
Spark
Supported
Workday Extend
Supported
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