Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
Designed specifically for cloud-native environments, EraSearch offers a versatile data fabric that utilizes separate storage and processing capabilities, a genuine zero-schema architecture, and smart indexing to provide a log management solution that scales infinitely while significantly lowering both cost and complexity. Unlike many log management tools built on Elasticsearch, EraSearch was developed from the ground up to address its major shortcomings. By adopting a stateless architecture for its essential components, EraSearch allows for seamless management through Kubernetes, making it a pleasure to operate. The innovative coordination-free ingest method enables EraSearch to manage data at a much lower cost, setting it apart from traditional solutions. Additionally, with EraSearch, you can enjoy a fully automated experience, eliminating any concerns about maintaining the health of your cluster. Ultimately, this cutting-edge approach redefines log management for modern applications.
Description
The rapid expansion of consumer data over the last ten years is now being eclipsed by a remarkable surge in business data, creating both unique opportunities and significant challenges for companies and cloud service providers alike. This situation necessitates a revolutionary approach to developing and scaling storage infrastructure. Our vision for this evolution is embodied in the Infinidat Elastic Data Fabric, which reimagines enterprise storage, transitioning from conventional hardware appliances to flexible, high-performance pools of digital storage that are both highly reliable and cost-effective, with effortless data mobility across data centers and public cloud environments. Today, professionals in various industries are grappling with a similar challenge due to the wave of digital transformation influencing their operations. As traditional hardware-based storage solutions are becoming prohibitively expensive and increasingly difficult to manage, they also fall drastically short of the requirements for the data-centric future. Consequently, it is imperative for these systems to transform into innovative software-defined on-premises enterprise storage clouds to meet the demands of the evolving digital landscape. This shift not only enhances efficiency but also positions organizations to better harness the power of their data.
API Access
Has API
API Access
Has API
Integrations
Amazon CloudWatch
Amazon Web Services (AWS)
Apache Kafka
EraDB
Google Cloud Platform
Grafana Cloud
Kibana
Logstash
Microsoft Azure
Otava
Integrations
Amazon CloudWatch
Amazon Web Services (AWS)
Apache Kafka
EraDB
Google Cloud Platform
Grafana Cloud
Kibana
Logstash
Microsoft Azure
Otava
Pricing Details
¢65 per GB
Free Trial
Free Version
Pricing Details
No price information available.
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
Era Software
Founded
2019
Country
United States
Website
erasearch.co
Vendor Details
Company Name
Infinidat
Founded
2011
Country
Israel
Website
www.infinidat.com/sites/default/files/resource-pdfs/Infinidat%20Elastic%20Data%20Fabric%20White%20Paper.pdf
Product Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management
Log Management
Archiving
Audit Trails
Compliance Reporting
Consolidation
Data Visualization
Event Logs
Network Logs
Remediation
Syslogs
Thresholds
Web Logs
Product Features
Data Fabric
Data Access Management
Data Analytics
Data Collaboration
Data Lineage Tools
Data Networking / Connecting
Metadata Functionality
No Data Redundancy
Persistent Data Management