IndexedDB vs RocksDB

Overview

RocksDB

Stacks141

Followers290

Votes11

GitHub Stars30.9K

Forks6.6K

IndexedDB

Stacks34

Followers97

Votes0

RocksDB vs IndexedDB: What are the differences?

RocksDB: Embeddable persistent key-value store for fast storage, developed and maintained by Facebook Database Engineering Team. RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation; IndexedDB: A low-level API for client-side storage of significant amounts of structured data. 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.

RocksDB and IndexedDB can be primarily classified as "Databases" tools.

Some of the features offered by RocksDB are:

Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM
Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory
Scales linearly with number of CPUs so that it works well on ARM processors

On the other hand, IndexedDB provides the following key features:

Stores key-pair values
It is not a relational database
IndexedDB API is mostly asynchronous

RocksDB is an open source tool with 15.1K GitHub stars and 3.34K GitHub forks. Here's a link to RocksDB's open source repository on GitHub.

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Advice on RocksDB, IndexedDB

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

RocksDB	IndexedDB
RocksDB is an embeddable persistent key-value store for fast storage. RocksDB can also be the foundation for a client-server database but our current focus is on embedded workloads. RocksDB builds on LevelDB to be scalable to run on servers with many CPU cores, to efficiently use fast storage, to support IO-bound, in-memory and write-once workloads, and to be flexible to allow for innovation.	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.
Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM;Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory;Scales linearly with number of CPUs so that it works well on ARM processors	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
GitHub Stars 30.9K	GitHub Stars -
GitHub Forks 6.6K	GitHub Forks -
Stacks 141	Stacks 34
Followers 290	Followers 97
Votes 11	Votes 0
Pros & Cons
Pros 5 Very fast 3 Made by Facebook 2 Consistent performance 1 Ability to add logic to the database layer where needed	No community feedback yet
Integrations
No integrations available	MongoDB Slick SQLite Knex.js MSSQL

What are some alternatives to RocksDB, IndexedDB?

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

Some of the features offered by RocksDB are:

Designed for application servers wanting to store up to a few terabytes of data on locally attached Flash drives or in RAM
Optimized for storing small to medium size key-values on fast storage -- flash devices or in-memory
Scales linearly with number of CPUs so that it works well on ARM processors

On the other hand, IndexedDB provides the following key features:

Stores key-pair values
It is not a relational database
IndexedDB API is mostly asynchronous

RocksDB is an open source tool with 15.1K GitHub stars and 3.34K GitHub forks. Here's a link to RocksDB's open source repository on GitHub.

IndexedDB vs RocksDB