VoltDB vs Redis

Struggling to choose between VoltDB and Redis? 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, Redis is a Development product tagged with caching, inmemory, keyvalue-store.

Its standout features include In-memory data structure store, Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams), Used as a database, cache, and message broker, Provides high performance and low latency, Supports replication, clustering, and high availability, Supports a wide range of programming languages, Provides a rich set of commands and APIs, Supports data persistence (RDB and AOF), and it shines with pros like High performance and low latency, Flexible and versatile data structures, Supports a wide range of use cases, Easy to set up and configure, Scalable and highly available, Open-source and free to use.

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.

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:
Development Databases
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

Redis

Redis

Redis is an open-source, in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes and streams.

Categories:
Development Databases
caching inmemory keyvalue-store

Redis Features

  1. In-memory data structure store
  2. Supports various data structures (strings, hashes, lists, sets, sorted sets, bitmaps, hyperloglogs, geospatial indexes, streams)
  3. Used as a database, cache, and message broker
  4. Provides high performance and low latency
  5. Supports replication, clustering, and high availability
  6. Supports a wide range of programming languages
  7. Provides a rich set of commands and APIs
  8. Supports data persistence (RDB and AOF)

Pricing

  • Open Source

Pros

High performance and low latency

Flexible and versatile data structures

Supports a wide range of use cases

Easy to set up and configure

Scalable and highly available

Open-source and free to use

Cons

In-memory nature can lead to data loss in case of system failures

Complexity in setting up and maintaining a highly available Redis cluster

Limited support for transactions and complex queries compared to traditional databases

Potential for high memory usage, especially for large datasets