IBM Db2 Big SQLIBM
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Related Products
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About
Extract insights from a universe of human-created data. With data from social networks, blogs, news, and more. Integrate social, blog and news data in a single place. Real-time and historic data from billions of data points. Normalized and enriched data in real-time for accurate analysis. With DataSift, you can deliver Human Data into business intelligence (BI) tools and business processes in real-time. You can also innovate with our powerful API to build your own apps. Human Data is the fastest growing type of data that covers the entire spectrum of human-generated information regardless of format or channel through which it is delivered. It includes text, image, audio or video shared with other people on social networks, blogs, news content and inside the business. The DataSift Human Data platform unifies all the data - real-time and historical - in one place, unlocks its meaning and delivers it for use anywhere in the business.
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About
A hybrid SQL-on-Hadoop engine delivering advanced, security-rich data query across enterprise big data sources, including Hadoop, object storage and data warehouses. IBM Db2 Big SQL is an enterprise-grade, hybrid ANSI-compliant SQL-on-Hadoop engine, delivering massively parallel processing (MPP) and advanced data query. Db2 Big SQL offers a single database connection or query for disparate sources such as Hadoop HDFS and WebHDFS, RDMS, NoSQL databases, and object stores. Benefit from low latency, high performance, data security, SQL compatibility, and federation capabilities to do ad hoc and complex queries. Db2 Big SQL is now available in 2 variations. It can be integrated with Cloudera Data Platform, or accessed as a cloud-native service on the IBM Cloud Pak® for Data platform. Access and analyze data and perform queries on batch and real-time data across sources, like Hadoop, object stores and data warehouses.
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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
Not Supported
iPhone
Not Supported
iPad
Not Supported
Android
Not Supported
Chromebook
Not Supported
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Audience
Companies and businesses looking for a platform solution to unify all data in one place
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Audience
Companies and enterprises looking for a hybrid SQL engine solution to optimize their operations
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Support
Phone Support
Supported
24/7 Live Support
Not 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
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
Supported
Free Trial
Supported
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Reviews/
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Reviews/
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Not Supported
In Person
Supported
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Training
Documentation
Supported
Webinars
Not Supported
Live Online
Supported
In Person
Supported
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Company InformationDataSift
Founded: 2010
United Kingdom
datasift.com
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Company InformationIBM
Founded: 1911
United States
www.ibm.com/products/db2-big-sql
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Categories |
Categories |
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Big Data Features
Collaboration
Not Supported
Data Blends
Not Supported
Data Cleansing
Not Supported
Data Mining
Supported
Data Visualization
Not Supported
Data Warehousing
Not Supported
High Volume Processing
Not Supported
No-Code Sandbox
Not Supported
Predictive Analytics
Not Supported
Templates
Not Supported
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Integrations
Amazon S3
Supported
Bitly
Supported
Cleo Integration Cloud
Not Supported
Desktop.com
Supported
Disqus
Supported
Elasticsearch
Supported
Hadoop
Not Supported
IBM Cloud Pak for Data
Not Supported
IBM Db2
Not Supported
Kubernetes
Not Supported
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Integrations
Amazon S3
Not Supported
Bitly
Not Supported
Cleo Integration Cloud
Supported
Desktop.com
Not Supported
Disqus
Not Supported
Elasticsearch
Not Supported
Hadoop
Supported
IBM Cloud Pak for Data
Supported
IBM Db2
Supported
Kubernetes
Supported
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