Redis vs VoltDB

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

Redis is a Development solution with tags like caching, inmemory, keyvalue-store.

It boasts features such as 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 pros including 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.

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.

Feature	Redis	VoltDB
Overall Score	1	N/A
Primary Category	Development	Development

Product Overview

Redis

Description: 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.

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.

Key Features Comparison

Redis Features

• 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)

VoltDB Features

• In-memory database
• Horizontally scalable
• High throughput transactions
• Low latency queries
• SQL interface
• Real-time analytics

Pros & Cons Analysis

Redis

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

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

Pricing Comparison

Redis

• Open Source

VoltDB

• Subscription-Based
• Pay-As-You-Go