Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
This dynamic community is focused on advancing Big Data and Visualization software, along with promoting best practices and innovations essential for enterprises to harness the full potential of their extensive data resources. With over 98,000 members, it stands as the largest professional group for Big Data experts. Move past the buzz surrounding big data and engage with a leading community that caters to both seasoned professionals and organizations exploring the intersection of big data analytics, Hadoop, data warehousing, cloud solutions, unified data architectures, digital marketing, visualization, and business intelligence. Our aim is to unite stakeholders from various sectors, including industry, academia, and government, who share a keen interest in Big Data and Visualization methodologies, technologies, and applications. Your participation is crucial for fulfilling the community's objectives, so we invite you to join in the discussions, offer expert insights, share your learnings, and contribute your unique perspectives to enrich our collective knowledge. Together, we can drive innovation and foster collaboration in the field of big data.
Description
IBM Db2 Big SQL is a sophisticated hybrid SQL-on-Hadoop engine that facilitates secure and advanced data querying across a range of enterprise big data sources, such as Hadoop, object storage, and data warehouses. This enterprise-grade engine adheres to ANSI standards and provides massively parallel processing (MPP) capabilities, enhancing the efficiency of data queries. With Db2 Big SQL, users can execute a single database connection or query that spans diverse sources, including Hadoop HDFS, WebHDFS, relational databases, NoSQL databases, and object storage solutions. It offers numerous advantages, including low latency, high performance, robust data security, compatibility with SQL standards, and powerful federation features, enabling both ad hoc and complex queries. Currently, Db2 Big SQL is offered in two distinct variations: one that integrates seamlessly with Cloudera Data Platform and another as a cloud-native service on the IBM Cloud Pak® for Data platform. This versatility allows organizations to access and analyze data effectively, performing queries on both batch and real-time data across various sources, thus streamlining their data operations and decision-making processes. In essence, Db2 Big SQL provides a comprehensive solution for managing and querying extensive datasets in an increasingly complex data landscape.
API Access
Has API
No
API Access
Has API
No
Integrations
Cleo Integration Cloud
No
Cloudera
No
Cloudera Data Science Workbench
No
Hadoop
No
IBM Cloud Pak for Data
No
IBM Db2
No
Kubernetes
No
QuerySurge
No
SQL
No
Integrations
Cleo Integration Cloud
Yes
Cloudera
Yes
Cloudera Data Science Workbench
Yes
Hadoop
Yes
IBM Cloud Pak for Data
Yes
IBM Db2
Yes
Kubernetes
Yes
QuerySurge
Yes
SQL
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
MAIA Intelligence
Founded
2006
Country
India
Website
www.maia-intelligence.com
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/db2-big-sql
Product Features
Business Intelligence
Ad Hoc Reports
Yes
Benchmarking
No
Budgeting & Forecasting
No
Dashboard
Yes
Data Analysis
Yes
Key Performance Indicators
Yes
Natural Language Generation (NLG)
No
Performance Metrics
No
Predictive Analytics
No
Profitability Analysis
Yes
Strategic Planning
Yes
Trend / Problem Indicators
Yes
Visual Analytics
Yes
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
No
Data Visualization
No
Data Warehousing
No
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
No
Templates
No