Average Ratings 0 Ratings
Average Ratings 6 Ratings
Description
Esper Enterprise Edition offers a robust platform designed for both linear and elastic scalability, as well as reliable event processing that can withstand faults. It comes equipped with an EPL editor and debugger, supports hot deployment, and provides comprehensive reporting on metrics and memory usage, including detailed breakdowns per EPL. Additionally, it features Data Push capabilities for seamless multi-tier delivery from CEP to browsers and manages both logical and physical subscribers and their subscriptions effectively. Its web-based user interface allows users to oversee various distributed engine instances using JavaScript and HTML5, while also enabling the creation of composable and interactive displays for visualizing distributed event streams through charts, gauges, timelines, and grids. Furthermore, it includes JDBC-compliant client and server endpoints to ensure interoperability across systems. Notably, Esper Enterprise Edition is a proprietary commercial product developed by EsperTech, with source code accessibility granted solely for the support of customers. Such versatility and functionality make it a robust choice for enterprises seeking efficient event processing solutions.
Description
QuantaStor, a unified Software Defined Storage platform, is designed to scale up and down to simplify storage management and reduce overall storage costs. QuantaStor storage grids can be configured to support complex workflows that span datacenters and sites. QuantaStor's storage technology includes a built-in Federated Management System that allows QuantaStor servers and clients to be combined to make management and automation easier via CLI and RESTAPIs. QuantaStor's layered architecture gives solution engineers unprecedented flexibility and allows them to design applications that maximize workload performance and fault tolerance for a wide variety of storage workloads. QuantaStor provides end-to-end security coverage that allows multi-layer data protection for cloud and enterprise storage deployments.
API Access
Has API
API Access
Has API
Integrations
Amazon S3
Docker
Grafana Cloud
IBM Cloud
IBM Cloud Object Storage
Kemp LoadMaster
Mattermost
Microsoft Azure
Nagios Core
PagerDuty
Integrations
Amazon S3
Docker
Grafana Cloud
IBM Cloud
IBM Cloud Object Storage
Kemp LoadMaster
Mattermost
Microsoft Azure
Nagios Core
PagerDuty
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
$/TB based on scale
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
EsperTech Inc.
Country
United States
Website
www.espertech.com/esper-enterprise-edition/
Vendor Details
Company Name
OSNexus
Founded
2010
Country
United States
Website
www.osnexus.com
Product Features
Streaming Analytics
Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards
Product Features
Backup
Backup Log
Backup Scheduling
Cloud Backup
Compression
Continuous Backup
Encryption
Incremental Backup
Local Server Options
Remote Server Options
Secure Data Storage
Web Access / Restoration
Data Replication
Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication
Encryption
Central Policy Enforcement
Drag & Drop UI
Email Encryption
Encryption Key Management
Endpoint Encryption
File Compression
File Encryption
Full Disk Encryption
Public Key Cryptography
Tokenization / Data Masking