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What is Voldemort?

Voldemort is not designed to operate as a relational database; it does not seek to maintain arbitrary relationships or comply with ACID principles. It also lacks the functionality of an object database that aims for a seamless mapping of object referencing. Moreover, it does not provide a new layer of abstraction like document orientation. Instead, it functions as a large, distributed, durable, and fault-tolerant hash table. For those employing an Object-Relational (O/R) mapper such as ActiveRecord or Hibernate, this setup can enhance horizontal scalability and availability significantly, though it comes with a notable loss of convenience. When dealing with large-scale applications that require internet-level scalability, systems often consist of multiple services or APIs that are functionally segmented, managing storage across diverse data centers, each with its own horizontally partitioned storage solutions. In such environments, executing arbitrary joins within the database can become unfeasible since not all data resides in a single database instance, which complicates data management further. Consequently, developers must shift their approaches to effectively cope with these limitations, necessitating a careful reevaluation of their data handling practices. This adjustment is crucial to ensure that the system remains efficient and responsive to the diverse needs of the applications it supports.

What is LeanXcale?

LeanXcale is an innovative database solution that combines the strengths of traditional SQL and NoSQL systems to deliver exceptional scalability. It is engineered to process substantial amounts of both batch and real-time data streams, making this data readily available via SQL or GIS for a variety of applications, such as operational management, analytical tasks, dashboard generation, or machine learning initiatives. Regardless of the existing technology infrastructure, LeanXcale provides users with the versatility of both SQL and NoSQL interfaces. Central to its architecture is the KiVi storage engine, which operates as a relational key-value data store, allowing data access through not just the standard SQL API but also a direct key-value interface that complies with ACID principles. This unique key-value interface promotes rapid data ingestion, significantly improving efficiency by removing the burdens typically linked with SQL processing. In addition, its highly scalable and distributed storage system disperses data throughout the cluster, thus boosting performance and reliability while easily adapting to increasing data requirements. Users will find that the combination of these features makes LeanXcale a compelling choice for modern data management solutions.

Media

Media

Integrations Supported

Integrations Supported

Apache Kafka
TensorFlow

API Availability

API Availability

Pricing Information

Pricing not provided

Pricing Information

$0.127 per GB per month
Free Trial Offered?

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Not specified

Customer Service / Support

24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub
Webinars
Online Training

Company Facts

Organization Name

Voldemort

Company Website

www.project-voldemort.com/voldemort/

Company Facts

Organization Name

LeanXcale

Date Founded

2015

Company Location

Spain

Company Website

www.leanxcale.com/features-disruptive

Categories and Features

Data Replication

Not specified

Key-Value Databases

Not specified

Categories and Features

Key-Value Databases

Not specified

NoSQL Database

Not specified

Relational Database

Not specified

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