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Average Ratings 0 Ratings

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ease
features
design
support

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Description

Condense, developed by Zeliot, is a comprehensive real-time data streaming solution that integrates fully managed Apache Kafka with all necessary components to create and operate event-driven applications seamlessly. By providing a unified platform, teams can avoid the hassle of integrating multiple tools, as Condense offers managed Kafka clusters, customizable transforms, deployment pipelines, and monitoring capabilities, all securely hosted within their chosen cloud environment (AWS, Azure, or GCP) to ensure data remains protected. Additionally, Condense features Vapr, an autonomous AI supervisor designed to manage specialized agents for tasks related to Kafka, Kubernetes, Grafana, and coding, significantly reducing the operational burden associated with maintaining streaming infrastructure. Proven in demanding production settings, Condense effectively supports various industries such as connected vehicle platforms, automotive OEM telematics, electric vehicle fleets, logistics, travel and hospitality, healthcare, and fintech, processing billions of events daily and showcasing its reliability and efficiency across diverse applications. The platform's ability to streamline event-driven processes while ensuring security makes it an invaluable asset for organizations aiming to harness real-time data effectively.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

No images available

Screenshots View All

Integrations

Apache Parquet No 
IBM Cloud Pak for Data No 

Integrations

Apache Parquet Yes 
IBM Cloud Pak for Data Yes 

Pricing Details

$40/month
Free Trial Yes 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
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 Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Zeliot

Founded

2018

Country

India

Website

www.zeliot.in

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/docs/en/cloud-paks/cp-data/3.5.0

Product Features

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 

Alternatives

Alternatives

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