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What is LevelDB?
LevelDB, a high-performance key-value storage library created by Google, is engineered to maintain an ordered association between string keys and string values. It treats both keys and values as arbitrary byte arrays, with the data organized in a sorted manner according to the keys. Users can implement a custom comparison function to alter the default sorting dynamics if desired. The library supports batching of multiple changes into a single atomic operation, which helps preserve data integrity during updates. Moreover, it enables the creation of temporary snapshots, allowing users to capture a consistent view of the data at any point in time. Users can also iterate through the stored data in both forward and backward directions, which enhances the flexibility of data access. To improve storage efficiency, data is automatically compressed using the Snappy compression algorithm. Furthermore, the library interacts with the operating system through a virtual interface, giving users the option to customize interactions with external environments, including file system operations. In practical usage, for instance, a database may contain one million entries, each entry comprising a 16-byte key paired with a 100-byte value. Interestingly, during benchmarking, the values compress to about half their original size, resulting in considerable space savings. We provide thorough performance metrics for sequential reads in both directions and evaluate the effectiveness of random lookups to highlight the library's capabilities. This extensive performance evaluation assists developers in identifying ways to optimize their utilization of LevelDB in diverse applications, ensuring they can maximize the benefits offered by this powerful library. Additionally, understanding these metrics can lead to improved design choices in database implementation and usage.
What is eXtremeDB?
What contributes to the platform independence of eXtremeDB? It features a hybrid data storage approach, allowing for configurations that are entirely in-memory or fully persistent, as well as combinations of both, unlike many other IMDS databases. Additionally, eXtremeDB incorporates its proprietary Active Replication Fabric™, enabling not only bidirectional replication but also multi-tier replication, which can optimize data transfer across various network conditions through built-in compression techniques. Furthermore, it offers flexibility in structuring time series data by supporting both row-based and column-based formats, enhancing CPU cache efficiency. eXtremeDB can operate as either a client/server architecture or as an embedded system, providing adaptable and speedy data management solutions. With its design tailored for resource-limited, mission-critical embedded applications, eXtremeDB is utilized in over 30 million deployments globally, ranging from routers and satellites to trains and stock market operations, showcasing its versatility across diverse industries.
Integrations Supported
Google Cloud Platform
LedisDB
OrbitDB
Integrations Supported
BlackBerry QNX
DARWIN Core
Deos
FreeRTOS
LynxOS
Nucleus
QNX Neutrino RTOS
API Availability
API Availability
Has API
Pricing Information
Pricing not provided
Pricing Information
Licensing terms vary by usage.
Free Trial Offered?
Supported Platforms
SaaS
iPhone
iPad
Windows
Mac
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
Date Founded
2011
Company Location
United States
Company Website
github.com/google/leveldb
Company Facts
Organization Name
McObject
Date Founded
2001
Company Location
United States
Company Website
www.mcobject.com
Categories and Features
Embedded Database
Not specified
Key-Value Databases
Not specified
Categories and Features
Big Data
Data Visualization
High Volume Processing
Predictive Analytics
Caching
Not specified
Database
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Distributed Databases
Not specified
Embedded Database
Not specified
In-Memory Databases
Not specified
Key-Value Databases
Not specified
SCADA
Archiving & Retention
Data Aggregation
Data Visualization
Real-time Monitoring
SQL Databases
Not specified
Time Series Databases
Not specified