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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. NuoDB vs VoltDB

NuoDB vs VoltDB

OverviewComparisonAlternatives

Overview

VoltDB
VoltDB
Stacks18
Followers72
Votes18
NuoDB
NuoDB
Stacks9
Followers25
Votes0

NuoDB vs VoltDB: What are the differences?

<Write Introduction here>
  1. Database Architecture: NuoDB is a distributed SQL database management system designed for high availability and performance by distributing data across multiple hosts, while VoltDB is an in-memory database management system that uses a shared nothing architecture to achieve high throughput and low latency.
  2. Consistency Model: NuoDB follows an ACID-compliant consistency model, ensuring that transactions are processed reliably and consistently, while VoltDB employs an in-memory, lock-free architecture for transaction processing to achieve high concurrency and low latency.
  3. Scaling Capabilities: NuoDB allows for elastic scalability by adding more nodes to the database to handle increased workloads, while VoltDB's scaling is limited by the size of the cluster due to its shared-nothing architecture.
  4. Data Durability: NuoDB supports durable transactions with multiple layers of redundancy to ensure data persistence, while VoltDB relies on in-memory processing and replication to achieve high availability at the expense of durability.
  5. Query Processing: NuoDB uses a distributed query engine to parallelize query processing across multiple hosts for improved performance, while VoltDB executes queries in parallel on individual partitions to optimize resource utilization and minimize latency.
  6. Use Cases: NuoDB is well-suited for cloud-native applications that require horizontal scalability and fault tolerance, while VoltDB is ideal for real-time applications that demand high throughput and low latency processing.
In Summary, NuoDB and VoltDB differ in their database architecture, consistency model, scaling capabilities, data durability, query processing, and use cases.

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Detailed Comparison

VoltDB
VoltDB
NuoDB
NuoDB

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.

NuoDB’s continuously available, ACID-compliant, SQL database delivers on-demand capacity on commodity hardware across multiple data centers.

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
-
Statistics
Stacks
18
Stacks
9
Followers
72
Followers
25
Votes
18
Votes
0
Pros & Cons
Pros
  • 5
    SQL + Java
  • 4
    A brainchild of Michael Stonebraker
  • 4
    In-memory database
  • 3
    Very Fast
  • 2
    NewSQL
No community feedback yet

What are some alternatives to VoltDB, NuoDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

Redis

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.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

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