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  1. Stackups
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  5. Event Store vs SQLite

Event Store vs SQLite

OverviewDecisionsComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
Event Store
Event Store
Stacks69
Followers82
Votes1

Event Store vs SQLite: What are the differences?

# Introduction
When considering options for storing data in a web application, developers often come across Event Store and SQLite. These two database systems serve different purposes and have key differences that can impact the decision-making process.

1. **Data Model**: Event Store is a database system that focuses on event sourcing, where data is stored as a series of events that have occurred. On the other hand, SQLite is a relational database management system that stores data in tables with a well-defined schema.
   
2. **Concurrency Handling**: Event Store is designed to handle high concurrency scenarios by providing optimistic concurrency control, allowing multiple clients to write to different streams concurrently. SQLite, on the other hand, uses a traditional locking mechanism to handle concurrent write operations, which can lead to performance bottlenecks in high-volume write scenarios.

3. **Query Language**: When it comes to querying data, SQLite uses SQL (Structured Query Language) for data retrieval, manipulation, and management. In contrast, Event Store requires developers to use its Projections feature, which allows for transforming and querying event data in real-time.

4. **Scalability**: Event Store is built with distributed systems in mind and offers features like sharding and replication for horizontal scalability. SQLite, being a file-based database, is more suited for single-user applications or small-scale deployments and may face limitations in handling large volumes of data.

5. **Data Integrity**: In terms of data integrity, Event Store ensures event consistency through append-only data storage, making it suitable for systems where audit trails and event sourcing are critical. SQLite, while offering ACID compliance, may lack some of the event sourcing capabilities that Event Store provides.

6. **Use Cases**: Event Store is ideal for applications that require tracking changes over time, implementing event-driven architectures, and maintaining a reliable audit trail. On the other hand, SQLite is well-suited for mobile applications, small-scale deployments, embedded systems, and scenarios where a lightweight and simple database solution is required.

In Summary, the key differences between Event Store and SQLite lie in their data model, concurrency handling, query language, scalability, data integrity, and use cases, making them suited for different types of applications and development scenarios.

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Advice on SQLite, Event Store

Anonymous
Anonymous

Oct 29, 2019

Needs advice

Hi everyone! I am a high school student, starting a massive project. I'm building a system for a boarding school to be better connected to their students and be more efficient with information. In the meantime, I am developing a website and an android app. What's the best datastore I can use? I need to be able to access student data on the app from the main database and send push notifications. Also feed updates. What's the best approach? What's the best tool I can use to deploy the website and the database? One for testing and prototyping, and an official one... Thanks in advance!!!!

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Comments

Detailed Comparison

SQLite
SQLite
Event Store
Event Store

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.

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.

-
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
Statistics
Stacks
19.9K
Stacks
69
Followers
15.2K
Followers
82
Votes
535
Votes
1
Pros & Cons
Pros
  • 163
    Lightweight
  • 135
    Portable
  • 122
    Simple
  • 81
    Sql
  • 29
    Preinstalled on iOS and Android
Cons
  • 2
    Not for multi-process of multithreaded apps
  • 1
    Needs different binaries for each platform
Pros
  • 1
    Trail Log
Integrations
No integrations available
.NET
.NET
MySQL
MySQL

What are some alternatives to SQLite, Event Store?

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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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