Apache Ignite vs VoltDB

Overview

VoltDB

Stacks18

Followers72

Votes18

Apache Ignite

Stacks110

Followers168

Votes41

GitHub Stars5.0K

Forks1.9K

Apache Ignite vs VoltDB: What are the differences?

Apache Ignite and VoltDB are both popular in-memory database platforms used for real-time data processing. Below are the key differences between Apache Ignite and VoltDB.

Architecture: Apache Ignite uses a distributed architecture with a shared-nothing design, allowing it to scale horizontally across cluster nodes. On the other hand, VoltDB utilizes a single-node shared-nothing architecture that scales vertically by adding more resources to a single server.
Consistency Model: Apache Ignite supports both strong and eventual consistency models, providing flexibility for different use cases. In contrast, VoltDB strictly adheres to the ACID properties with strong consistency guarantees for all transactions.
SQL Support: Apache Ignite offers full SQL support with a distributed SQL engine for querying and processing data across the cluster. VoltDB, on the other hand, uses a DML-centric SQL dialect specifically optimized for fast transaction processing.
Data Replication: Apache Ignite provides various replication techniques, including partition-based replication and data center replication for high availability and fault tolerance. VoltDB employs a fully replicated data model, storing a copy of each data partition on every server in the cluster.
Data Durability: Apache Ignite allows users to choose between in-memory and disk-based storage options for data durability, providing flexibility based on performance and durability requirements. VoltDB primarily focuses on in-memory storage for low-latency data processing, with the option to persist data to disk for fault tolerance.

In summary, Apache Ignite and VoltDB differ in their architecture, consistency models, SQL support, data replication techniques, and data durability options.

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Detailed Comparison

VoltDB	Apache Ignite
VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.	It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale
In-Memory Performance with On-Disk Durability;Transparent Scalability with Data Consistency;NewSQL – All the benefits of SQL with Unlimited Scalability;JSON Support for Agile Development;ACID Compliant Transactions;Export Data to OLAP Stores and Data Warehouses	Memory-Centric Storage; Distributed SQL; Distributed Key-Value
Statistics
GitHub Stars -	GitHub Stars 5.0K
GitHub Forks -	GitHub Forks 1.9K
Stacks 18	Stacks 110
Followers 72	Followers 168
Votes 18	Votes 41
Pros & Cons
Pros 5 SQL + Java 4 A brainchild of Michael Stonebraker 4 In-memory database 3 Very Fast 2 NewSQL	Pros 5 Free 5 Written in java. runs on jvm 5 Multiple client language support 5 High Avaliability 4 Load balancing
Integrations
No integrations available	MongoDB MySQL Apache Spark

What are some alternatives to VoltDB, Apache Ignite?

Redis

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

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

Tarantool

It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

Azure Redis Cache

It perfectly complements Azure database services such as Cosmos DB. It provides a cost-effective solution to scale read and write throughput of your data tier. Store and share database query results, session states, static contents, and more using a common cache-aside pattern.

KeyDB

KeyDB is a fully open source database that aims to make use of all hardware resources. KeyDB makes it possible to breach boundaries often dictated by price and complexity.

LokiJS

LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.

BuntDB

BuntDB is a low-level, in-memory, key/value store in pure Go. It persists to disk, is ACID compliant, and uses locking for multiple readers and a single writer. It supports custom indexes and geospatial data. It's ideal for projects that need a dependable database and favor speed over data size.

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Apache Ignite vs VoltDB: What are the differences?

Apache Ignite and VoltDB are both popular in-memory database platforms used for real-time data processing. Below are the key differences between Apache Ignite and VoltDB.

Architecture: Apache Ignite uses a distributed architecture with a shared-nothing design, allowing it to scale horizontally across cluster nodes. On the other hand, VoltDB utilizes a single-node shared-nothing architecture that scales vertically by adding more resources to a single server.
Consistency Model: Apache Ignite supports both strong and eventual consistency models, providing flexibility for different use cases. In contrast, VoltDB strictly adheres to the ACID properties with strong consistency guarantees for all transactions.
SQL Support: Apache Ignite offers full SQL support with a distributed SQL engine for querying and processing data across the cluster. VoltDB, on the other hand, uses a DML-centric SQL dialect specifically optimized for fast transaction processing.
Data Replication: Apache Ignite provides various replication techniques, including partition-based replication and data center replication for high availability and fault tolerance. VoltDB employs a fully replicated data model, storing a copy of each data partition on every server in the cluster.
Data Durability: Apache Ignite allows users to choose between in-memory and disk-based storage options for data durability, providing flexibility based on performance and durability requirements. VoltDB primarily focuses on in-memory storage for low-latency data processing, with the option to persist data to disk for fault tolerance.

In summary, Apache Ignite and VoltDB differ in their architecture, consistency models, SQL support, data replication techniques, and data durability options.