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Description
Terracotta DB offers a robust, distributed solution for in-memory data management, addressing both caching and operational storage needs while facilitating both transactional and analytical processes. The combination of swift RAM capabilities with extensive data resources empowers businesses significantly. With BigMemory, users benefit from: immediate access to vast amounts of in-memory data, impressive throughput paired with consistently low latency, compatibility with Java®, Microsoft® .NET/C#, and C++ applications, and an outstanding 99.999% uptime. The system boasts linear scalability, ensuring data consistency across various servers, and employs optimized data storage strategies across both RAM and SSDs. Additionally, it provides SQL support for in-memory data queries, lowers infrastructure expenses through enhanced hardware efficiency, and guarantees high-performance, persistent storage that ensures durability and rapid restarts. Comprehensive monitoring, management, and control features are included, alongside ultra-fast data stores that intelligently relocate data as needed. Furthermore, the capacity for data replication across multiple data centers enhances disaster recovery capabilities, enabling real-time management of dynamic data flows. This suite of features positions Terracotta DB as an essential asset for enterprises striving for efficiency and reliability in their data operations.
Description
Consider it a temporary memory solution for your applications. Memcached enables you to reallocate memory from areas of your system that have an excess to those that are experiencing a shortfall. While the initial example shows a traditional deployment approach, it is inefficient because the total cache size only represents a small portion of your web farm's true capacity, and maintaining cache consistency across numerous nodes requires significant effort. With memcached, all servers draw from a unified virtual memory pool, simplifying operations. Furthermore, as your application's demand increases, necessitating the addition of more servers, there is typically a corresponding rise in the volume of frequently accessed data. A deployment strategy that allows these two components of your system to scale in tandem is a more logical and efficient approach. This synergy not only optimizes resource use but also enhances overall system performance.
API Access
Has API
API Access
Has API
Integrations
360 Monitoring
Azure Marketplace
Circonus IRONdb
Dragonfly
Elastic Observability
Isovalent
JetRails
Kamailio
Kamatera
LOGIQ
Integrations
360 Monitoring
Azure Marketplace
Circonus IRONdb
Dragonfly
Elastic Observability
Isovalent
JetRails
Kamailio
Kamatera
LOGIQ
Pricing Details
No price information available.
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
Software AG
Founded
1969
Country
Germany
Website
www.softwareag.com
Vendor Details
Company Name
memcached
Website
memcached.org/about
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
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