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Description
SAP HANA is an in-memory database designed to handle both transactional and analytical workloads using a single copy of data, regardless of type. It effectively dissolves the barriers between transactional and analytical processes within organizations, facilitating rapid decision-making whether deployed on-premises or in the cloud. This innovative database management system empowers users to create intelligent, real-time solutions, enabling swift decision-making from a unified data source. By incorporating advanced analytics, it enhances the capabilities of next-generation transaction processing. Organizations can build data solutions that capitalize on cloud-native attributes such as scalability, speed, and performance. With SAP HANA Cloud, businesses can access reliable, actionable information from one cohesive platform while ensuring robust security, privacy, and data anonymization, reflecting proven enterprise standards. In today's fast-paced environment, an intelligent enterprise relies on timely insights derived from data, emphasizing the need for real-time delivery of such valuable information. As the demand for immediate access to insights grows, leveraging an efficient database like SAP HANA becomes increasingly critical for organizations aiming to stay competitive.
Description
We are excited to introduce a groundbreaking big data platform designed for the music industry, which consolidates all relevant information into a single, reliable source to inform strategic decisions. Within the music business sector, numerous data sources exist, but they are often isolated and disjointed. Our innovative platform effectively identifies and integrates these sources, establishing a robust foundation of high-quality data applicable to everyday operations in the music industry. To operate effectively and securely while uncovering unique insights, record labels and agencies need an advanced data management and governance framework that ensures data is consistently accessible, pertinent, and practical. As data sources are integrated into Wavo’s Big Data Platform, machine learning techniques are utilized to categorize the data according to customized templates, facilitating easy access and deep dives into crucial information. This capability empowers every member of a music organization to harness and utilize data that is prepared and organized for immediate application and value creation. Ultimately, our platform serves as a catalyst for smarter decision-making and enhanced operational efficiency across the music business landscape.
API Access
Has API
No
API Access
Has API
No
Integrations
Alteryx
Yes
Amazon
No
Amazon S3
No
Amphora Symphony CTRM
Yes
Checkmk
Yes
Data V
Yes
DeltaMaster
Yes
Digna
Yes
Dvina
Yes
FUJITSU Server PRIMEQUEST
Yes
Integrations
Alteryx
No
Amazon
Yes
Amazon S3
Yes
Amphora Symphony CTRM
No
Checkmk
No
Data V
No
DeltaMaster
No
Digna
No
Dvina
No
FUJITSU Server PRIMEQUEST
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
SAP
Founded
1972
Country
Germany
Website
www.sap.com/products/hana.html
Vendor Details
Company Name
Wavo
Website
wavo.me/
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
No
Data Mining
Yes
Data Visualization
No
Data Warehousing
Yes
High Volume Processing
No
No-Code Sandbox
No
Predictive Analytics
Yes
Templates
No
Database
Backup and Recovery
Yes
Creation / Development
No
Data Migration
No
Data Replication
Yes
Data Search
Yes
Data Security
Yes
Database Conversion
No
Mobile Access
Yes
Monitoring
Yes
NOSQL
Yes
Performance Analysis
Yes
Queries
Yes
Relational Interface
Yes
Virtualization
Yes
NoSQL Database
Auto-sharding
Yes
Automatic Database Replication
Yes
Data Model Flexibility
Yes
Deployment Flexibility
Yes
Dynamic Schemas
Yes
Integrated Caching
Yes
Multi-Model
Yes
Performance Management
Yes
Security Management
Yes
Relational Database
ACID Compliance
Yes
Data Failure Recovery
Yes
Multi-Platform
Yes
Referential Integrity
Yes
SQL DDL Support
Yes
SQL DML Support
Yes
System Catalog
Yes
Unicode Support
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
