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Description
IBM Db2 Event Store is a cloud-native database system specifically engineered to manage vast quantities of structured data formatted in Apache Parquet. Its design is focused on optimizing event-driven data processing and analysis, enabling the system to capture, evaluate, and retain over 250 billion events daily. This high-performance data repository is both adaptable and scalable, allowing it to respond swiftly to evolving business demands. Utilizing the Db2 Event Store service, users can establish these data repositories within their Cloud Pak for Data clusters, facilitating effective data governance and enabling comprehensive analysis. The system is capable of rapidly ingesting substantial volumes of streaming data, processing up to one million inserts per second per node, which is essential for real-time analytics that incorporate machine learning capabilities. Furthermore, it allows for the real-time analysis of data from various medical devices, ultimately leading to improved health outcomes for patients, while simultaneously offering cost-efficiency in data storage management. Such features make IBM Db2 Event Store a powerful tool for organizations looking to leverage data-driven insights effectively.
Description
Keen is a fully managed event streaming platform. Our real-time data pipeline, built on Apache Kafka, makes it easy to collect large amounts of event data. Keen's powerful REST APIs and SDKs allow you to collect event data from any device connected to the internet.
Our platform makes it possible to securely store your data, reducing operational and delivery risks with Keen. Apache Cassandra's storage infrastructure ensures data is completely secure by transferring it via HTTPS and TLS. The data is then stored with multilayer AES encryption.
Access Keys allow you to present data in an arbitrary way without having to re-architect or re-architect the data model. Role-based Access Control allows for completely customizable permission levels, down to specific queries or data points.
API Access
Has API
No
API Access
Has API
No
Integrations
Amazon S3
No
Apache Parquet
Yes
Bold BI
No
Causal
No
EMnify
No
Freshpaint
No
GitHub
No
Heroku
No
Kixie PowerCall & SMS
No
Maxio
No
Integrations
Amazon S3
Yes
Apache Parquet
No
Bold BI
Yes
Causal
Yes
EMnify
Yes
Freshpaint
Yes
GitHub
Yes
Heroku
Yes
Kixie PowerCall & SMS
Yes
Maxio
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$149 per month
https://ancillary-proxy.atarimworker.io?url=https%3A%2F%2Fkeen.io%2Fpricing%2F
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)
Yes
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/docs/en/cloud-paks/cp-data/3.5.0
Vendor Details
Company Name
Keen.io
Founded
2011
Country
United States
Website
keen.io
Product Features
Database
Backup and Recovery
No
Creation / Development
No
Data Migration
No
Data Replication
No
Data Search
No
Data Security
No
Database Conversion
No
Mobile Access
No
Monitoring
No
NOSQL
No
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
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
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
No
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
No
Embedded Analytics
Ad hoc Query
Yes
Application Development
No
Benchmarking
No
Dashboard
Yes
Interactive Reports
Yes
Mobile Reporting
Yes
Multi-User Collaboration
Yes
Self Service Analytics
Yes
Streaming Analytics
Yes
Visual Workflow Management
No
Master Data Management
Data Governance
No
Data Masking
No
Data Source Integrations
Yes
Hierarchy Management
No
Match & Merge
No
Metadata Management
No
Multi-Domain
No
Process Management
No
Relationship Mapping
No
Visualization
Yes
Product Analytics
Attribution
No
Automatic Data Capture
No
Churn Reporting
No
Customer Feedback Collection
No
Customer Guidance
No
Customer Journey Analytics
No
Data Export
No
Data History Retention
No
Data Labeling
No
Product Engagement Scoring
No
Real-Time Data Analysis
No
Touchpoint Analytics
No
User Segmentation
No
