Clickhouse vs Event Store

Overview

Clickhouse

Stacks431

Followers543

Votes85

Event Store

Stacks69

Followers82

Votes1

Clickhouse vs Event Store: What are the differences?

ClickHouse is an open-source analytical database management system designed for high-performance querying and analytics on large datasets While Event Store is an open-source database for building event-sourced applications, providing a scalable and fault-tolerant solution for capturing and storing events. Here are some key differences between ClickHouse and Event Store:

Data Storage and Querying: ClickHouse is an optimized columnar database for high-speed analytics and data warehousing, excelling at complex analytical queries on large datasets. On the other hand, Event Store is a database designed for event sourcing and event-driven architectures. It specializes in storing and managing event streams, making it suitable for applications where events are the primary source of truth, such as event sourcing and CQRS (Command Query Responsibility Segregation) patterns.
Data Model: ClickHouse operates on a traditional table-based data model, where data is organized in rows and columns. It is schema-based and requires defining the structure of data before ingestion. In contrast, Event Store operates on an event-centric data model, where data is represented as a series of events that are stored in streams. The event model allows for a more flexible and dynamic data structure, making it well-suited for scenarios where data schemas evolve over time, such as event-driven microservices.
Use Cases: ClickHouse is commonly used for analytical use cases, such as business intelligence, reporting, and data analytics, where quick and efficient querying of large datasets is essential. It is suitable for applications that require real-time analytics. Event Store, on the other hand, is tailored for event sourcing and scenarios where maintaining a complete, chronological history of events is crucial. It is often employed in event-driven architectures, event sourcing patterns, and systems with high-throughput event processing requirements.
Scalability and Replication: ClickHouse is known for its horizontal scalability, allowing users to add more nodes to handle increased data volumes and query workloads. It supports data replication for high availability and fault tolerance. In contrast, Event Store also provides horizontal scalability but focuses on maintaining the order and consistency of events across replicas to ensure accurate event handling and event replay. It emphasizes strong consistency and durability to ensure that event data is not lost.
Data Consistency: ClickHouse follows eventual consistency, which means that data changes may take some time to propagate across the system. In contrast, Event Store emphasizes strong consistency for event streams, ensuring that events are written and read in the order they were produced, making it ideal for maintaining chronological event sequences.

In summary, ClickHouse and Event Store serve different purposes in the database landscape. ClickHouse is a high-performance analytical database for OLAP workloads, while Event Store is designed for event sourcing and event-driven architectures.

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Detailed Comparison

Clickhouse	Event Store
It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.	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 431	Stacks 69
Followers 543	Followers 82
Votes 85	Votes 1
Pros & Cons
Pros 21 Fast, very very fast 11 Good compression ratio 7 Horizontally scalable 6 Utilizes all CPU resources 5 Open-source Cons 5 Slow insert operations	Pros 1 Trail Log
Integrations
No integrations available	.NET SQLite MySQL

What are some alternatives to Clickhouse, Event Store?

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

Data Storage and Querying: ClickHouse is an optimized columnar database for high-speed analytics and data warehousing, excelling at complex analytical queries on large datasets. On the other hand, Event Store is a database designed for event sourcing and event-driven architectures. It specializes in storing and managing event streams, making it suitable for applications where events are the primary source of truth, such as event sourcing and CQRS (Command Query Responsibility Segregation) patterns.
Data Model: ClickHouse operates on a traditional table-based data model, where data is organized in rows and columns. It is schema-based and requires defining the structure of data before ingestion. In contrast, Event Store operates on an event-centric data model, where data is represented as a series of events that are stored in streams. The event model allows for a more flexible and dynamic data structure, making it well-suited for scenarios where data schemas evolve over time, such as event-driven microservices.
Use Cases: ClickHouse is commonly used for analytical use cases, such as business intelligence, reporting, and data analytics, where quick and efficient querying of large datasets is essential. It is suitable for applications that require real-time analytics. Event Store, on the other hand, is tailored for event sourcing and scenarios where maintaining a complete, chronological history of events is crucial. It is often employed in event-driven architectures, event sourcing patterns, and systems with high-throughput event processing requirements.
Scalability and Replication: ClickHouse is known for its horizontal scalability, allowing users to add more nodes to handle increased data volumes and query workloads. It supports data replication for high availability and fault tolerance. In contrast, Event Store also provides horizontal scalability but focuses on maintaining the order and consistency of events across replicas to ensure accurate event handling and event replay. It emphasizes strong consistency and durability to ensure that event data is not lost.
Data Consistency: ClickHouse follows eventual consistency, which means that data changes may take some time to propagate across the system. In contrast, Event Store emphasizes strong consistency for event streams, ensuring that events are written and read in the order they were produced, making it ideal for maintaining chronological event sequences.

Clickhouse vs Event Store