MongoDB vs VoltDB

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

MongoDB is a Development solution with tags like nosql, document-database, open-source.

It boasts features such as Document-oriented storage, Automatic sharding, Rich and expressive query language, High availability, Horizontal scalability and pros including Flexible schema, High performance, Easy scalability, Rich query capabilities, High availability.

On the other hand, VoltDB is a Development product tagged with inmemory, sql, database, low-latency, high-throughput.

Its standout features include In-memory database, Horizontally scalable, High throughput transactions, Low latency queries, SQL interface, Real-time analytics, and it shines with pros like 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.

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.

MongoDB

MongoDB

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.

Categories:
nosql document-database open-source

MongoDB Features

  1. Document-oriented storage
  2. Automatic sharding
  3. Rich and expressive query language
  4. High availability
  5. Horizontal scalability

Pricing

  • Open Source
  • Subscription-Based

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


VoltDB

VoltDB

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.

Categories:
inmemory sql database low-latency high-throughput

VoltDB Features

  1. In-memory database
  2. Horizontally scalable
  3. High throughput transactions
  4. Low latency queries
  5. SQL interface
  6. Real-time analytics

Pricing

  • Subscription-Based
  • Pay-As-You-Go

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