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Description
An in-memory, column-oriented database combined with a Massively Parallel Processing (MPP) architecture enables the rapid querying of billions of records within mere seconds. The distribution of queries across all nodes in a cluster ensures linear scalability, accommodating a larger number of users and facilitating sophisticated analytics. The integration of MPP, in-memory capabilities, and columnar storage culminates in a database optimized for exceptional data analytics performance. With various deployment options available, including SaaS, cloud, on-premises, and hybrid solutions, data analysis can be performed in any environment. Automatic tuning of queries minimizes maintenance efforts and reduces operational overhead. Additionally, the seamless integration and efficiency of performance provide enhanced capabilities at a significantly lower cost compared to traditional infrastructure. Innovative in-memory query processing has empowered a social networking company to enhance its performance, handling an impressive volume of 10 billion data sets annually. This consolidated data repository, paired with a high-speed engine, accelerates crucial analytics, leading to better patient outcomes and improved financial results for the organization. As a result, businesses can leverage this technology to make quicker data-driven decisions, ultimately driving further success.
Description
Terracotta Server Platform is an open source server platform that provides distributed in-memory data management for applications using Terracotta technologies such as Ehcache and TCStore. It enables clustered caching by allowing applications to connect to a Terracotta Server and store cache data across server-side resources. The platform can be deployed as a simple two-node tandem or expanded into a larger Terracotta Server Array for added scalability, performance, and failover protection. Terracotta Server helps teams manage large volumes of data in memory, making it useful for workloads that need fast access to shared cached data. Its key capabilities include high availability, configurable health monitoring, automatic node reconnection, and simplified capacity planning. The platform supports JDK 17 or higher and can be started from a local kit or Docker image. Developers can connect clustered Ehcache clients using Java or XML configuration and define server-side off-heap resources for cache storage. Commercially supported versions from IBM offer additional capabilities such as fast-restart persistence, advanced management, and security features. Terracotta Server Platform is a practical option for teams that want to extend Ehcache with distributed caching and improve application performance across clustered environments.
API Access
Has API
No
API Access
Has API
No
Integrations
Alteryx
Yes
Apache Superset
Yes
Astro by Astronomer
Yes
Azure Marketplace
Yes
CONVAYR
Yes
Data Virtuality
Yes
DataClarity Unlimited Analytics
Yes
DataGrip
Yes
DbVisualizer
Yes
Emgage
Yes
Integrations
Alteryx
No
Apache Superset
No
Astro by Astronomer
No
Azure Marketplace
No
CONVAYR
No
Data Virtuality
No
DataClarity Unlimited Analytics
No
DataGrip
No
DbVisualizer
No
Emgage
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
Yes
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
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Exasol
Country
Germany
Website
www.exasol.com
Vendor Details
Company Name
Terracotta
Website
www.terracotta.org
Product Features
Big Data
Collaboration
No
Data Blends
No
Data Cleansing
Yes
Data Mining
No
Data Visualization
Yes
Data Warehousing
Yes
High Volume Processing
Yes
No-Code Sandbox
Yes
Predictive Analytics
No
Templates
Yes
Product Features
Data Management
Customer Data
No
Data Analysis
No
Data Capture
No
Data Integration
No
Data Migration
No
Data Quality Control
No
Data Security
No
Information Governance
No
Master Data Management
No
Match & Merge
No
