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  1. Stackups
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  4. Databases
  5. Amazon QLDB vs Event Store

Amazon QLDB vs Event Store

OverviewComparisonAlternatives

Overview

Event Store
Event Store
Stacks69
Followers82
Votes1
Amazon QLDB
Amazon QLDB
Stacks5
Followers17
Votes0

Amazon QLDB vs Event Store: What are the differences?

Introduction:

Amazon QLDB and Event Store are both database options that cater to different needs and use cases. Understanding the key differences between the two can help in choosing the right database solution for specific requirements.

  1. Data Model: Amazon QLDB is a document-oriented database that stores data in documents using a JSON-like structure. It supports the ACID (Atomicity, Consistency, Isolation, Durability) properties, allowing transactional integrity in data operations. In contrast, Event Store is an event sourcing database that focuses on capturing and storing events as domain-specific facts. It emphasizes immutability and the ability to track changes over time.

  2. Querying Capabilities: With Amazon QLDB, data can be efficiently queried using PartiQL, a SQL-compatible query language. PartiQL allows developers to perform complex JOINs, aggregations, filtering, and sorting without external tools or libraries. Event Store offers querying through a NoSQL-like API, which allows retrieval of events based on time-based and stream-based queries. It excels in scenarios where event sourcing and stream processing are crucial.

  3. Event Streams and Pub/Sub: Event Store places a strong emphasis on event streams and pub/sub capabilities. It provides robust messaging patterns for publishing and subscribing to events, allowing applications to react to real-time changes effectively. On the other hand, while Amazon QLDB does not directly expose pub/sub functionality, it can be combined with other AWS services like AWS Lambda or Amazon EventBridge to achieve event-driven architecture.

  4. Scalability and Availability: Amazon QLDB is a fully managed service provided by AWS, offering scalability and high availability out of the box. It automatically scales the underlying infrastructure to handle the workload and provides a durable and fault-tolerant database. Event Store, on the other hand, requires more manual management of infrastructure and clustering to achieve scalability and availability, making it more suitable for scenarios where fine-grained control is necessary.

  5. Event Versioning and Time Travel Queries: Event Store allows for versioning of events, enabling applications to evolve and handle changes to event structures over time. It offers features like event upcasting and projection to handle different versions of events. Additionally, Event Store allows "time travel queries," enabling querying the state of data at any specific point in time. Amazon QLDB, while it stores a complete history of data changes, does not have built-in versioning or time travel queries.

  6. Data Encryption and Security: Amazon QLDB encrypts data at rest by default, ensuring strong security measures for sensitive data. It also provides integration with AWS Identity and Access Management (IAM) for fine-grained access control. Event Store does not provide built-in encryption and access control mechanisms, requiring additional configuration and setup to secure the data.

**In Summary, Amazon QLDB is a document-oriented database emphasizing ACID properties, efficient querying, and ease of use, while Event Store is an event sourcing database with strong pub/sub capabilities, event versioning, and time travel queries. Choosing between them depends on the specific needs and requirements of the application.

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Detailed Comparison

Event Store
Event Store
Amazon QLDB
Amazon QLDB

It stores your data as a series of immutable events over time, making it easy to build event-sourced applications. It can run as a cluster of nodes containing the same data, which remains available for writes provided at least half the nodes are alive and connected.

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.

Guaranteed writes; High availability; Projections; Multiple client interfaces; Optimistic concurrency checks; Subscribe to streams with competing consumers; Great performance that scales; Multiple hosting options; Commercial support plans; Immutable data store; Atom subscriptions
Immutable and Transparent; Cryptographically Verifiable; Serverless; Easy to Use; Streaming Capability
Statistics
Stacks
69
Stacks
5
Followers
82
Followers
17
Votes
1
Votes
0
Pros & Cons
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Integrations
.NET
.NET
SQLite
SQLite
MySQL
MySQL
AWS Lambda
AWS Lambda
Amazon Redshift
Amazon Redshift
Amazon Kinesis
Amazon Kinesis
Amazon Elasticsearch Service
Amazon Elasticsearch Service

What are some alternatives to Event Store, 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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