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  1. Stackups
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  5. Event Store vs Oracle

Event Store vs Oracle

OverviewDecisionsComparisonAlternatives

Overview

Oracle
Oracle
Stacks2.6K
Followers1.8K
Votes113
Event Store
Event Store
Stacks69
Followers82
Votes1

Event Store vs Oracle: What are the differences?

Introduction

In this article, we will examine the key differences between Event Store and Oracle.

  1. Storage Model: Event Store is based on an event sourcing architecture, where events are stored as the primary source of truth. It provides an append-only log of events, allowing for easy auditing and time-based querying. On the other hand, Oracle uses a traditional relational database model for data storage, with tables and rows to organize information.

  2. Data Replication: Event Store supports multi-master replication out of the box, allowing for data synchronization across multiple nodes or clusters. This ensures high availability and fault tolerance. In contrast, Oracle requires additional configuration and setup for replication, making it more complex to achieve a distributed database setup.

  3. Scalability: Event Store is designed to scale horizontally, which means it can handle increased workload by adding more nodes to the cluster. It achieves this through its partitioning and sharding capabilities, allowing for efficient data distribution. Oracle, on the other hand, primarily scales vertically, where additional resources such as CPU, memory, or storage are added to a single node.

  4. Querying Capabilities: Event Store provides a powerful and flexible querying mechanism using its Event Query Language (EQL). EQL allows for querying events based on different criteria, such as event types, timestamps, or metadata. Oracle, being a relational database, uses SQL for querying, which is more structured and restrictive compared to EQL.

  5. Event-Driven Architecture: Event Store is inherently built for event-driven architectures, where events serve as the main mechanism for communication and data flow between different components of the system. It provides features like event publishing, subscriptions, and projections to handle event-driven workflows efficiently. Oracle, although capable of handling events through triggers and stored procedures, is not specifically designed for event-driven architectures.

  6. Community and Ecosystem: Event Store has a growing community and ecosystem focused on event-driven architectures, with various frameworks, libraries, and tools available to support its usage. Oracle, being a widely-used relational database, has a larger and more mature ecosystem, with a wide range of tools and integrations available for different use cases.

In summary, Event Store offers a storage model based on event sourcing, supports multi-master replication, scales horizontally, provides a flexible querying mechanism with EQL, is well-suited for event-driven architectures, and has a growing community and ecosystem. On the other hand, Oracle uses a relational database model, requires additional setup for replication, scales primarily vertically, uses SQL for querying, supports events through triggers and procedures, and has a larger and more mature ecosystem.

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Advice on Oracle, Event Store

Daniel
Daniel

Data Engineer at Dimensigon

Jul 18, 2020

Decided

We have chosen Tibero over Oracle because we want to offer a PL/SQL-as-a-Service that the users can deploy in any Cloud without concerns from our website at some standard cost. With Oracle Database, developers would have to worry about what they implement and the related costs of each feature but the licensing model from Tibero is just 1 price and we have all features included, so we don't have to worry and developers using our SQLaaS neither. PostgreSQL would be open source. We have chosen Tibero over Oracle because we want to offer a PL/SQL that you can deploy in any Cloud without concerns. PostgreSQL would be the open source option but we need to offer an SQLaaS with encryption and more enterprise features in the background and best value option we have found, it was Tibero Database for PL/SQL-based applications.

496k views496k
Comments
Abigail
Abigail

Dec 6, 2019

Decided

In the field of bioinformatics, we regularly work with hierarchical and unstructured document data. Unstructured text data from PDFs, image data from radiographs, phylogenetic trees and cladograms, network graphs, streaming ECG data... none of it fits into a traditional SQL database particularly well. As such, we prefer to use document oriented databases.

MongoDB is probably the oldest component in our stack besides Javascript, having been in it for over 5 years. At the time, we were looking for a technology that could simply cache our data visualization state (stored in JSON) in a database as-is without any destructive normalization. MongoDB was the perfect tool; and has been exceeding expectations ever since.

Trivia fact: some of the earliest electronic medical records (EMRs) used a document oriented database called MUMPS as early as the 1960s, prior to the invention of SQL. MUMPS is still in use today in systems like Epic and VistA, and stores upwards of 40% of all medical records at hospitals. So, we saw MongoDB as something as a 21st century version of the MUMPS database.

540k views540k
Comments
Abigail
Abigail

Dec 10, 2019

Decided

We wanted a JSON datastore that could save the state of our bioinformatics visualizations without destructive normalization. As a leading NoSQL data storage technology, MongoDB has been a perfect fit for our needs. Plus it's open source, and has an enterprise SLA scale-out path, with support of hosted solutions like Atlas. Mongo has been an absolute champ. So much so that SQL and Oracle have begun shipping JSON column types as a new feature for their databases. And when Fast Healthcare Interoperability Resources (FHIR) announced support for JSON, we basically had our FHIR datalake technology.

558k views558k
Comments

Detailed Comparison

Oracle
Oracle
Event Store
Event Store

Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.

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
2.6K
Stacks
69
Followers
1.8K
Followers
82
Votes
113
Votes
1
Pros & Cons
Pros
  • 44
    Reliable
  • 33
    Enterprise
  • 15
    High Availability
  • 5
    Expensive
  • 5
    Hard to maintain
Cons
  • 14
    Expensive
Pros
  • 1
    Trail Log
Integrations
No integrations available
.NET
.NET
SQLite
SQLite
MySQL
MySQL

What are some alternatives to Oracle, 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.

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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