Event Store vs FaunaDB

Overview

Event Store

Stacks69

Followers82

Votes1

Fauna

Stacks112

Followers153

Votes27

Event Store vs FaunaDB: What are the differences?

Data Model: Event Store is a database specifically designed for event sourcing, storing events as a log of changes over time. FaunaDB, on the other hand, is a distributed, transactional, and consistent database that supports various data models, including document-oriented and relational.
Consistency: Event Store ensures strong consistency by using event streams and projections to maintain data integrity. FaunaDB provides strong consistency as well, using transactional ACID properties to ensure data reliability and correctness.
Query Language: Event Store primarily uses SQL-like query language to interact with the data, allowing developers to perform complex data manipulations. FaunaDB supports its own query language, called FQL, which is designed for seamless interactions with its data model and ecosystem.
Scalability: Event Store offers horizontal scalability through partitioning and clustering to handle large volumes of event data efficiently. FaunaDB also supports horizontal scalability by automatically distributing data across different nodes to maintain performance as the dataset grows.
Multi-Cloud Support: FaunaDB provides multi-cloud support, allowing users to deploy their database in multiple cloud environments, ensuring high availability and disaster recovery options. Event Store, however, focuses mainly on on-premises and cloud deployments, without explicit multi-cloud support.
Real-Time Capabilities: Event Store excels in real-time processing and event-driven architectures, making it suitable for applications that require immediate data updates and event notifications. FaunaDB supports real-time capabilities through its built-in streaming functionality, enabling developers to build real-time applications efficiently.

In Summary, Event Store is specialized for event sourcing with SQL-like query language, strong consistency, and real-time capabilities, while FaunaDB is a distributed database supporting various data models, transactional consistency, scalability, multi-cloud support, and real-time capabilities.

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CLI (Node.js)

Manual

Detailed Comparison

Event Store	Fauna
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.	Escape the boundaries imposed by legacy databases with a data API that is simple to adopt, highly productive to use, and offers the capabilities that your business needs, without the operational pain typically associated with databases.
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	Native support for GraphQL and others. Easily access any data with any API. No middleware necessary.; Access all data via a data model that best suits your needs - relational, document, graph or composite.; A unique approach to indexing makes it simpler to write efficient queries that scale with your application.; Build SaaS apps more easily with native multi-tenancy and query-level QoS controls to prevent workload collisions.; Eliminate data anomalies with multi-region ACID transactions that don't limit number of keys or documents.; Data-driven RBAC that combines with SSL to offers reliable protection, and yet is simple to understand and codify.; Travel back in time with temporal querying. Run queries at a point-in-time or as change feeds. Track how your data evolved.; Dynamically replicates your data to global locations, so that your queries run fast no matter where your users are.; Easily deploy a FaunaDB cluster on your workstation accompanied by a powerful shell and tools to simplify your workflow.;
Statistics
Stacks 69	Stacks 112
Followers 82	Followers 153
Votes 1	Votes 27
Pros & Cons
Pros 1 Trail Log	Pros 5 100% ACID 4 Generous free tier 4 Removes server provisioning or maintenance 3 Works well with GraphQL 3 Low latency global CDN's Cons 1 Susceptible to DDoS (& others) use timeouts throttling 1 Log stack traces to avoid improper exception handling 1 Must keep app secrets encrypted
Integrations
.NET SQLite MySQL	No integrations available

What are some alternatives to Event Store, Fauna?

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

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 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 is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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

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 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

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 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

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.

Related Comparisons

Event Store vs FaunaDB: What are the differences?

Data Model: Event Store is a database specifically designed for event sourcing, storing events as a log of changes over time. FaunaDB, on the other hand, is a distributed, transactional, and consistent database that supports various data models, including document-oriented and relational.
Consistency: Event Store ensures strong consistency by using event streams and projections to maintain data integrity. FaunaDB provides strong consistency as well, using transactional ACID properties to ensure data reliability and correctness.
Query Language: Event Store primarily uses SQL-like query language to interact with the data, allowing developers to perform complex data manipulations. FaunaDB supports its own query language, called FQL, which is designed for seamless interactions with its data model and ecosystem.
Scalability: Event Store offers horizontal scalability through partitioning and clustering to handle large volumes of event data efficiently. FaunaDB also supports horizontal scalability by automatically distributing data across different nodes to maintain performance as the dataset grows.
Multi-Cloud Support: FaunaDB provides multi-cloud support, allowing users to deploy their database in multiple cloud environments, ensuring high availability and disaster recovery options. Event Store, however, focuses mainly on on-premises and cloud deployments, without explicit multi-cloud support.
Real-Time Capabilities: Event Store excels in real-time processing and event-driven architectures, making it suitable for applications that require immediate data updates and event notifications. FaunaDB supports real-time capabilities through its built-in streaming functionality, enabling developers to build real-time applications efficiently.

Event Store vs FaunaDB

Overview