Services
  • Cloud Enablement Data & AI Digitalization End-to-End Digital Marketing SaaS
Industries
Products
  • Retail Healthcare Hospitality Insurance Productivity Technology Marketing
Resources
Company
Approach
Careers
Blog Business Referral
Cloud Enablement Cloud Consulting Cloud-Native Apps Cloud Migration Strategies Cloud Migration Services Cloud Monitoring Cloud Security Posture AWS Cloud Cost Optimization Azure GCP App Engine Private Cloud
Data & AI Overview Generative AI Development Data Science AI Agents Data Engineering Artificial Intelligence Data Management Machine Learning Data Storage Computer Vision Data Visualization Video Analytics
Digitalization Mobility Extended Reality Web Development Internet of Things Blockchain CRM RTLS RPA E-Learning Portals E-Commerce Sites Intelligent Document Processing Product Information Management Enterprise Asset Management Digital Experience Platform Customer Data Platform Enterprise Resource Planning
End-to-End Site Reliability Engineering UX Design Microservice Architecture QA Automation DevOps Performance Monitoring Cybersecurity Frontend Monitoring API Management Compliance Consulting
Digital Marketing Overview Marketing Automation Visualization Analytics Programmatic Advertising Paid Advertising SEO Email Marketing Content Marketing Social Media
SaaS Salesforce SharePoint Oracle HCM ServiceNow G Suite Microsoft Solutions Freshworks
Retail SlashQDigital queue management ContextIQRecommendation engine
Healthcare Patient Transporter ManagementRTLS for intra-hospital transfers
Hospitality TalQCall accounting system
Insurance RehashLow-code insurance platform
Productivity AsQAI employee assistant Notification AppNotification builder KeverProject management tool QuickPicksSalesforce widget
Technology Open Source WorksShared with the community IIoT PlatformIoT solutions for industries
Marketing PartnerFrontAffiliate marketing platform
Inquiry icon START A CONVERSATION

Share your requirements and we'll get back to you with how we can help.

Please accept the terms to proceed.

Thank you for submitting your request.
We will get back to you shortly.

Columnar Database—For Faster Analytics

Do your analytical queries involve computing aggregate values from thousands of records?

Compared to an RDBMS, a columnar database can run such analytical queries an order of magnitude faster.

Most analytical queries involve reading data from select columns of a row rather than entire rows. By storing data in columns, columnar databases allow you selectively access columns that are relevant to your query and achieve superior performance and speed to insight.

Enterprise Use Cases

As columnar databases can query a large amount of data faster and with greater predictability, they are ideal for read-intensive data warehousing and BI applications. Here’s a sample list of enterprise use cases:

  • Personalize sales pitch by accessing only the relevant data attributes
  • Analyze customer interaction with products
  • Obtain data on the impressions left by advertisements
  • Increase clicks and revenue through targeted advertisements
  • Respond efficiently to customer calls by referencing relevant data

Benefits of Going Columnar

  • Reduce persistent storage through compression
  • Optimize searches on trends and aggregates
  • Reduce I/O by selectively searching columns
  • Execute ad hoc queries easily
  • Speed up BI reporting and analytics
  • Write new columns efficiently
  • Lower data administration overhead
  • Scale with growing data volumes
  • Model data using flexible schema
  • Store structured, semistructured, and unstructured data

Popular Columnar Databases

  • Column-oriented key value store
  • Stores data on a cluster of nodes
  • Fault-tolerant
  • High availability via multiple seed nodes
  • Tuneable consistency
  • Linear scalability
  • Faster writes than reads
  • CQL query language similar to SQL
  • Ideal for web and online applications
  • Column family-oriented database
  • Uses HDFS and MapReduce
  • Automatic sharding of tables
  • High availability via standby master nodes
  • Strong record-level consistency
  • Linear and modular scalability
  • Enables random reads and writes
  • Supports ACID-level semantics per row
  • Ideal for complex data warehouse use cases
{'en-in': 'https://www.qburst.com/en-in/', 'en-jp': 'https://www.qburst.com/en-jp/', 'ja-jp': 'https://www.qburst.com/ja-jp/', 'en-au': 'https://www.qburst.com/en-au/', 'en-uk': 'https://www.qburst.com/en-uk/', 'en-ca': 'https://www.qburst.com/en-ca/', 'en-sg': 'https://www.qburst.com/en-sg/', 'en-ae': 'https://www.qburst.com/en-ae/', 'en-us': 'https://www.qburst.com/en-us/', 'en-za': 'https://www.qburst.com/en-za/', 'en-de': 'https://www.qburst.com/en-de/', 'de-de': 'https://www.qburst.com/de-de/', 'x-default': 'https://www.qburst.com/'}