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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. CockroachDB vs NuoDB

CockroachDB vs NuoDB

OverviewComparisonAlternatives

Overview

NuoDB
NuoDB
Stacks9
Followers25
Votes0
CockroachDB
CockroachDB
Stacks216
Followers341
Votes0

CockroachDB vs NuoDB: What are the differences?

Introduction CockroachDB and NuoDB are both distributed SQL databases that are designed for scalability and high availability. Although they share some similarities, there are key differences between the two.

  1. Storage and Replication: CockroachDB uses multi-version concurrency control (MVCC) to manage storage and replication. It stores data in key-value format and replicates it across multiple nodes in a cluster. NuoDB, on the other hand, uses a distributed, in-memory architecture with a peer-to-peer approach for data replication. It divides data into "atoms" and distributes them across multiple nodes.

  2. Consistency Model: CockroachDB offers strong consistency guarantees, ensuring that all replicas are always up-to-date and in sync. It uses a distributed consensus algorithm (RocksDB) to achieve consensus on data changes. In contrast, NuoDB provides eventual consistency, allowing replicas to diverge temporarily before reconciling. It uses a quorum-based algorithm (Paxos) to handle conflicts and achieve eventual consistency.

  3. SQL Compatibility: CockroachDB is fully compatible with PostgreSQL, supporting its SQL syntax, data types, and even some of its extensions. This makes it easier to migrate existing applications built on PostgreSQL to CockroachDB. In contrast, while NuoDB also supports SQL, it does not offer full compatibility with any specific SQL dialect.

  4. Scale-out Architecture: CockroachDB is designed to scale horizontally by adding more nodes to the cluster, allowing for increased performance and storage capacity. It uses automatic sharding and rebalancing to distribute data across nodes and maintain load balance. NuoDB also supports scale-out but takes a different approach by allowing applications to add or remove nodes dynamically without disruption. It offers elastic scaling capabilities without the need for sharding or rebalancing.

  5. Data Distribution: CockroachDB automatically distributes data across nodes by splitting it into ranges based on primary key values. This ensures that data is evenly spread and can be accessed in parallel from different nodes. NuoDB, on the other hand, distributes data using its "atoms" technique, which allows for greater flexibility in data placement and reduces data movement during scaling or rebalancing.

  6. ACID Compliance: CockroachDB ensures ACID (Atomicity, Consistency, Isolation, Durability) properties for transactions, guaranteeing data integrity and reliability. It supports distributed transactions and provides serializable isolation level. NuoDB also offers ACID compliance but has a different approach to transaction management, using a distributed, peer-to-peer architecture instead of a centralized transaction coordinator.

In summary, CockroachDB and NuoDB differ in their storage and replication strategies, consistency models, SQL compatibility, scale-out architectures, data distribution techniques, and transaction management approaches.

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Detailed Comparison

NuoDB
NuoDB
CockroachDB
CockroachDB

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

CockroachDB is distributed SQL database that can be deployed in serverless, dedicated, or on-prem. Elastic scale, multi-active availability for resilience, and low latency performance.

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sql; high availability; fast; acid;
Statistics
Stacks
9
Stacks
216
Followers
25
Followers
341
Votes
0
Votes
0

What are some alternatives to NuoDB, CockroachDB?

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.

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.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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