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  1. Stackups
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  5. IndexedDB vs InfluxDB

IndexedDB vs InfluxDB

OverviewDecisionsComparisonAlternatives

Overview

InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175
IndexedDB
IndexedDB
Stacks34
Followers97
Votes0

IndexedDB vs InfluxDB: What are the differences?

# Differences Between IndexedDB and InfluxDB

IndexedDB and InfluxDB are two popular databases that serve different purposes in the tech world. 
Here are some key differences between IndexedDB and InfluxDB:

1. **Database Type**: IndexedDB is a client-side database which means it runs in the user's browser, while InfluxDB is server-side database designed for handling time-series data efficiently.
   
2. **Data Model**: IndexedDB follows a key-value pair data model and is mainly used for storing structured data, whereas InfluxDB is optimized for storing timestamped data and metadata.

3. **Query Language**: IndexedDB uses a more traditional querying language similar to SQL for data retrieval and manipulation, whereas InfluxDB uses its own query language specifically tailored for time-series data known as InfluxQL.

4. **Use Case**: IndexedDB is commonly used in web applications for client-side storage and caching, while InfluxDB is preferred for IoT and monitoring applications where time-series data is prevalent.

5. **Scalability**: InfluxDB is designed to handle high volumes of time-series data efficiently with features like data retention policies and continuous queries, making it more scalable for large datasets compared to IndexedDB.

6. **Community Support**: IndexedDB has solid support within the web development community due to its native browser integration, while InfluxDB enjoys popularity within the IoT and DevOps communities for its specialized time-series data handling capabilities.

In Summary, IndexedDB and InfluxDB differ in their database type, data model, query language, use cases, scalability, and community support, catering to distinct needs in the database ecosystem.

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Advice on InfluxDB, IndexedDB

Anonymous
Anonymous

Apr 21, 2020

Needs advice

We are building an IOT service with heavy write throughput and fewer reads (we need downsampling records). We prefer to have good reliability when comes to data and prefer to have data retention based on policies.

So, we are looking for what is the best underlying DB for ingesting a lot of data and do queries easily

381k views381k
Comments
Anonymous
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

574k views574k
Comments
Benoit
Benoit

Principal Engineer at Sqreen

Sep 21, 2019

Decided

I chose TimescaleDB because to be the backend system of our production monitoring system. We needed to be able to keep track of multiple high cardinality dimensions.

The drawbacks of this decision are our monitoring system is a bit more ad hoc than it used to (New Relic Insights)

We are combining this with Grafana for display and Telegraf for data collection

155k views155k
Comments

Detailed Comparison

InfluxDB
InfluxDB
IndexedDB
IndexedDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

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.

Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
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
1.0K
Stacks
34
Followers
1.2K
Followers
97
Votes
175
Votes
0
Pros & Cons
Pros
  • 59
    Time-series data analysis
  • 30
    Easy setup, no dependencies
  • 24
    Fast, scalable & open source
  • 21
    Open source
  • 20
    Real-time analytics
Cons
  • 4
    Instability
  • 1
    Proprietary query language
  • 1
    HA or Clustering is only in paid version
No community feedback yet
Integrations
No integrations available
MongoDB
MongoDB
Slick
Slick
SQLite
SQLite
Knex.js
Knex.js
MSSQL
MSSQL

What are some alternatives to InfluxDB, IndexedDB?

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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