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

Amazon QLDB vs CockroachDB

OverviewComparisonAlternatives

Overview

CockroachDB
CockroachDB
Stacks216
Followers341
Votes0
Amazon QLDB
Amazon QLDB
Stacks5
Followers17
Votes0

Amazon QLDB vs CockroachDB: What are the differences?

Introduction

Amazon QLDB and CockroachDB are two popular databases used for different purposes. While QLDB is a fully managed ledger database service for creating auditable and transparent applications, CockroachDB is a distributed SQL database that offers high scalability and resilience.

Key Differences between Amazon QLDB and CockroachDB

  1. Consistency Model: QLDB provides a strongly consistent model where all replicas of the data are updated before a write operation is considered successful. On the other hand, CockroachDB offers a slightly relaxed consistency model called "linearizable reads" which guarantees external consistency but allows for eventual inconsistencies during network partitions.

  2. Data Replication: QLDB doesn't offer cross-region replication natively. It stores data within a single region and relies on the durability of Amazon S3 for data backups. In contrast, CockroachDB provides automatic and synchronous multi-region replication, allowing for improved availability and disaster recovery.

  3. Transaction Support: QLDB supports ACID transactions with serializable isolation level, ensuring data integrity and consistency at all times. CockroachDB also supports ACID transactions but provides multiple isolation levels, including serializable, snapshot, repeatable read, and read committed.

  4. Query Language: QLDB uses PartiQL, a SQL-compatible query language optimized for nested documents and closely integrated with QLDB's document model. While CockroachDB also supports SQL, it offers a more traditional SQL dialect with extensions for distributed transactions and scalability features.

  5. Concurrency Control: QLDB uses an optimistic concurrency control mechanism, allowing multiple concurrent readers and writers with optimistic locking and conflict resolution. CockroachDB, on the other hand, utilizes distributed consensus algorithms and multi-version concurrency control (MVCC) to ensure consistency and isolation in a distributed environment.

  6. Scalability and Sharding: CockroachDB is designed to scale horizontally across commodity hardware by automatically sharding data across multiple nodes. QLDB, being a managed service, abstracts the underlying infrastructure details and provides built-in scalability, but with limited control over the sharding process.

In Summary,

Amazon QLDB and CockroachDB differ in their consistency models, replication capabilities, transaction support, query languages, concurrency control mechanisms, and scalability approaches.

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Detailed Comparison

CockroachDB
CockroachDB
Amazon QLDB
Amazon QLDB

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.

It is a fully managed ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log ‎owned by a central trusted authority. It can be used to track each and every application data change and maintains a complete and verifiable history of changes over time.

sql; high availability; fast; acid;
Immutable and Transparent; Cryptographically Verifiable; Serverless; Easy to Use; Streaming Capability
Statistics
Stacks
216
Stacks
5
Followers
341
Followers
17
Votes
0
Votes
0
Integrations
No integrations available
AWS Lambda
AWS Lambda
Amazon Redshift
Amazon Redshift
Amazon Kinesis
Amazon Kinesis
Amazon Elasticsearch Service
Amazon Elasticsearch Service

What are some alternatives to CockroachDB, Amazon QLDB?

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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