Clickhouse vs IndexedDB

Overview

IndexedDB

Stacks34

Followers97

Votes0

Clickhouse

Stacks431

Followers543

Votes85

Clickhouse vs IndexedDB: What are the differences?

Storage: Clickhouse is a column-oriented database designed for OLAP (Online Analytical Processing) use cases, optimized for storing and querying large volumes of data efficiently. On the other hand, IndexedDB is a client-side storage system used for storing substantial amounts of structured data in a user's browser.
Query Language: Clickhouse uses SQL-like query language for data manipulation and retrieval, providing a familiar interface for users experienced with SQL databases. In contrast, IndexedDB uses JavaScript-based asynchronous APIs for data retrieval and manipulation, offering a programmatic approach to database operations within a web application.
Data Persistence: Clickhouse requires a server-side installation for data storage and processing, providing a centralized approach to data management. In contrast, IndexedDB stores data directly within a user's browser, offering a decentralized approach to data persistence for web applications.
Scaling: Clickhouse is designed to scale horizontally, allowing users to distribute data across multiple nodes for improved performance and capacity as data grows. IndexedDB, being a client-side storage solution, does not inherently support horizontal scaling and is limited to the resources available within a single browser instance.
Indexing: Clickhouse supports various indexing strategies to optimize query performance, including primary, secondary, and composite indexes to accelerate data retrieval. IndexedDB allows developers to define indexes on object stores for improved query performance but does not offer the same level of indexing capabilities as Clickhouse.
Concurrency: Clickhouse supports concurrent queries and data modifications, allowing multiple users to access and manipulate data simultaneously without performance degradation. IndexedDB, as a client-side storage solution, may face limitations in concurrent data access based on the browser's threading model and resource availability.

In Summary, Clickhouse and IndexedDB differ in their storage architecture, query language, data persistence model, scalability, indexing capabilities, and concurrency handling.

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Advice on IndexedDB, Clickhouse

Anonymous

May 17, 2020

Needs advice

I'm currently developing an app that ranks trending stuff ( such as games, memes or movies, etc. ) or events in a particular country or region. Here are the specs: My app does not require registration and requires cookies and localStorage to track users. Users can add new entries to each trending category provided that their country of origin is recorded in cookies. If each category contains more than 100 items then the oldest items get deleted. The question is: what kind of database should I use for managing this app? Thanks in advance

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Detailed Comparison

IndexedDB	Clickhouse
This API uses indexes to enable high-performance searches of this data. While Web Storage is useful for storing smaller amounts of data, it is less useful for storing larger amounts of structured data.	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.
Stores key-pair values; It is not a relational database; IndexedDB API is mostly asynchronous; It is not a structured query language; It has supported to access the data from same domain.	-
Statistics
Stacks 34	Stacks 431
Followers 97	Followers 543
Votes 0	Votes 85
Pros & Cons
No community feedback yet	Pros 21 Fast, very very fast 11 Good compression ratio 7 Horizontally scalable 6 Utilizes all CPU resources 5 Great CLI Cons 5 Slow insert operations
Integrations
MongoDB Slick SQLite Knex.js MSSQL	No integrations available

What are some alternatives to IndexedDB, Clickhouse?

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

Clickhouse vs IndexedDB: What are the differences?

Storage: Clickhouse is a column-oriented database designed for OLAP (Online Analytical Processing) use cases, optimized for storing and querying large volumes of data efficiently. On the other hand, IndexedDB is a client-side storage system used for storing substantial amounts of structured data in a user's browser.
Query Language: Clickhouse uses SQL-like query language for data manipulation and retrieval, providing a familiar interface for users experienced with SQL databases. In contrast, IndexedDB uses JavaScript-based asynchronous APIs for data retrieval and manipulation, offering a programmatic approach to database operations within a web application.
Data Persistence: Clickhouse requires a server-side installation for data storage and processing, providing a centralized approach to data management. In contrast, IndexedDB stores data directly within a user's browser, offering a decentralized approach to data persistence for web applications.
Scaling: Clickhouse is designed to scale horizontally, allowing users to distribute data across multiple nodes for improved performance and capacity as data grows. IndexedDB, being a client-side storage solution, does not inherently support horizontal scaling and is limited to the resources available within a single browser instance.
Indexing: Clickhouse supports various indexing strategies to optimize query performance, including primary, secondary, and composite indexes to accelerate data retrieval. IndexedDB allows developers to define indexes on object stores for improved query performance but does not offer the same level of indexing capabilities as Clickhouse.
Concurrency: Clickhouse supports concurrent queries and data modifications, allowing multiple users to access and manipulate data simultaneously without performance degradation. IndexedDB, as a client-side storage solution, may face limitations in concurrent data access based on the browser's threading model and resource availability.

In Summary, Clickhouse and IndexedDB differ in their storage architecture, query language, data persistence model, scalability, indexing capabilities, and concurrency handling.

Clickhouse vs IndexedDB

Overview