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AlaSQL

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AlaSQL vs InfluxDB: What are the differences?

AlaSQL: JavaScript SQL Database for Browser and Node.js *. Open source SQL database for Javascript with a strong focus on query speed and datasource flexibility for relational data, schemaless data, and graph data. Works in your browser, Node.js and Cordova. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, and Excel; *InfluxDB:** An open-source distributed time series database with no external dependencies. 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..

AlaSQL and InfluxDB can be categorized as "Databases" tools.

Some of the features offered by AlaSQL are:

  • Run SQL queries directly on javascript data arrays.
  • Bring the comfort of a full database engine to your javascript app.
  • Fast SQL based in-memory data processing for BI and ERP applications on fat clients.

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

  • Time-Centric Functions
  • Scalable Metrics
  • Events

AlaSQL and InfluxDB are both open source tools. InfluxDB with 16.7K GitHub stars and 2.39K forks on GitHub appears to be more popular than AlaSQL with 4.51K GitHub stars and 438 GitHub forks.

Advice on AlaSQL and InfluxDB
Needs advice
on
TimescaleDB
MongoDB
and
InfluxDB

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

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Replies (3)
Yaron Lavi
Recommends
PostgreSQL

We had a similar challenge. We started with DynamoDB, Timescale, and even InfluxDB and Mongo - to eventually settle with PostgreSQL. Assuming the inbound data pipeline in queued (for example, Kinesis/Kafka -> S3 -> and some Lambda functions), PostgreSQL gave us a We had a similar challenge. We started with DynamoDB, Timescale and even InfluxDB and Mongo - to eventually settle with PostgreSQL. Assuming the inbound data pipeline in queued (for example, Kinesis/Kafka -> S3 -> and some Lambda functions), PostgreSQL gave us better performance by far.

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Recommends
Druid

Druid is amazing for this use case and is a cloud-native solution that can be deployed on any cloud infrastructure or on Kubernetes. - Easy to scale horizontally - Column Oriented Database - SQL to query data - Streaming and Batch Ingestion - Native search indexes It has feature to work as TimeSeriesDB, Datawarehouse, and has Time-optimized partitioning.

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Ankit Malik
Software Developer at CloudCover | 3 upvotes 路 32.9K views
Recommends
Google BigQuery

if you want to find a serverless solution with capability of a lot of storage and SQL kind of capability then google bigquery is the best solution for that.

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Decisions about AlaSQL and InfluxDB
Benoit Larroque
Principal Engineer at Sqreen | 2 upvotes 路 41.4K views

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

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Pros of AlaSQL
Pros of InfluxDB
    Be the first to leave a pro
    • 51
      Time-series data analysis
    • 28
      Easy setup, no dependencies
    • 24
      Fast, scalable & open source
    • 21
      Open source
    • 18
      Real-time analytics
    • 6
      Continuous Query support
    • 5
      Easy Query Language
    • 4
      HTTP API
    • 4
      Out-of-the-box, automatic Retention Policy
    • 1
      Offers Enterprise version
    • 1
      Free Open Source version

    Sign up to add or upvote prosMake informed product decisions

    Cons of AlaSQL
    Cons of InfluxDB
      Be the first to leave a con
      • 4
        Instability
      • 1
        HA or Clustering is only in paid version

      Sign up to add or upvote consMake informed product decisions

      What is AlaSQL?

      Open source SQL database for Javascript with a strong focus on query speed and datasource flexibility for relational data, schemaless data, and graph data. Works in your browser, Node.js and Cordova. Handles both traditional relational tables and nested JSON data (NoSQL). Export, store, and import data from localStorage, IndexedDB, and Excel.

      What is InfluxDB?

      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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use AlaSQL?
      What companies use InfluxDB?
      See which teams inside your own company are using AlaSQL or InfluxDB.
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      What tools integrate with AlaSQL?
      What tools integrate with InfluxDB?

      Sign up to get full access to all the tool integrationsMake informed product decisions

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      What are some alternatives to AlaSQL and InfluxDB?
      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.
      Lovefield
      Written in JavaScript, works cross-browser. Provides SQL-like APIs that are fast, safe, and easy to use.
      Pouchdb
      PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.
      IndexedDB
      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.
      LokiJS
      LokiJS is a document oriented database written in javascript, published under MIT License. Its purpose is to store javascript objects as documents in a nosql fashion and retrieve them with a similar mechanism. Runs in node (including cordova/phonegap and node-webkit), nativescript and the browser.
      See all alternatives