VoltDB vs MongoDB

Professional comparison and analysis to help you choose the right software solution for your needs. Compare features, pricing, pros & cons, and make an informed decision.

VoltDB icon
VoltDB
MongoDB icon
MongoDB

Expert Analysis & Comparison

Struggling to choose between VoltDB and MongoDB? Both products offer unique advantages, making it a tough decision.

VoltDB is a Development solution with tags like inmemory, sql, database, low-latency, high-throughput.

It boasts features such as In-memory database, Horizontally scalable, High throughput transactions, Low latency queries, SQL interface, Real-time analytics and pros including Very fast data ingestion and query processing, Good for high velocity data streams, Scales linearly with more servers, ACID compliant transactions, Develop with standard SQL and JDBC.

On the other hand, MongoDB is a Development product tagged with nosql, document-database, open-source.

Its standout features include Document-oriented storage, Automatic sharding, Rich and expressive query language, High availability, Horizontal scalability, and it shines with pros like Flexible schema, High performance, Easy scalability, Rich query capabilities, High availability.

To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.

Why Compare VoltDB and MongoDB?

When evaluating VoltDB versus MongoDB, both solutions serve different needs within the development ecosystem. This comparison helps determine which solution aligns with your specific requirements and technical approach.

Market Position & Industry Recognition

VoltDB and MongoDB have established themselves in the development market. Key areas include inmemory, sql, database.

Technical Architecture & Implementation

The architectural differences between VoltDB and MongoDB significantly impact implementation and maintenance approaches. Related technologies include inmemory, sql, database, low-latency.

Integration & Ecosystem

Both solutions integrate with various tools and platforms. Common integration points include inmemory, sql and nosql, document-database.

Decision Framework

Consider your technical requirements, team expertise, and integration needs when choosing between VoltDB and MongoDB. You might also explore inmemory, sql, database for alternative approaches.

Feature VoltDB MongoDB
Overall Score N/A 1
Primary Category Development Development
Target Users Developers, QA Engineers QA Teams, Non-technical Users
Deployment Self-hosted, Cloud Cloud-based, SaaS
Learning Curve Moderate to Steep Easy to Moderate

Product Overview

VoltDB
VoltDB

Description: VoltDB is an in-memory SQL database designed for fast data ingestion and low latency query processing. It is optimized for applications that require high throughput transactions and real-time analytics.

Type: Open Source Test Automation Framework

Founded: 2011

Primary Use: Mobile app testing automation

Supported Platforms: iOS, Android, Windows

MongoDB
MongoDB

Description: MongoDB is a popular open-source, document-oriented NoSQL database. It stores data in flexible, JSON-like documents, rather than rows and columns used in traditional RDBMS. MongoDB is scalable, high-performance and easy to use.

Type: Cloud-based Test Automation Platform

Founded: 2015

Primary Use: Web, mobile, and API testing

Supported Platforms: Web, iOS, Android, API

Key Features Comparison

VoltDB
VoltDB Features
  • In-memory database
  • Horizontally scalable
  • High throughput transactions
  • Low latency queries
  • SQL interface
  • Real-time analytics
MongoDB
MongoDB Features
  • Document-oriented storage
  • Automatic sharding
  • Rich and expressive query language
  • High availability
  • Horizontal scalability

Pros & Cons Analysis

VoltDB
VoltDB
Pros
  • Very fast data ingestion and query processing
  • Good for high velocity data streams
  • Scales linearly with more servers
  • ACID compliant transactions
  • Develop with standard SQL and JDBC
Cons
  • In-memory only, no persistence
  • Not good for large data volumes
  • Limited indexing and query optimization
  • Less mature than traditional RDBMS
MongoDB
MongoDB
Pros
  • Flexible schema
  • High performance
  • Easy scalability
  • Rich query capabilities
  • High availability
Cons
  • No transactions
  • No joins
  • Limited query flexibility compared to SQL
  • Steep learning curve

Pricing Comparison

VoltDB
VoltDB
  • Subscription-Based
  • Pay-As-You-Go
MongoDB
MongoDB
  • Open Source
  • Subscription-Based

Get More Information

VoltDB
VoltDB
VoltDB
Learn More About VoltDB
MongoDB
MongoDB
MongoDB
Learn More About MongoDB

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