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  1. Stackups
  2. Application & Data
  3. Databases
  4. Big Data As A Service
  5. jQuery vs Treasure Data

jQuery vs Treasure Data

OverviewComparisonAlternatives

Overview

Treasure Data
Treasure Data
Stacks28
Followers44
Votes5
jQuery
jQuery
Stacks195.3K
Followers70.6K
Votes6.6K
GitHub Stars59.6K
Forks20.5K

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Detailed Comparison

Treasure Data
Treasure Data
jQuery
jQuery

Treasure Data's Big Data as-a-Service cloud platform enables data-driven businesses to focus their precious development resources on their applications, not on mundane, time-consuming integration and operational tasks. The Treasure Data Cloud Data Warehouse service offers an affordable, quick-to-implement and easy-to-use big data option that does not require specialized IT resources, making big data analytics available to the mass market.

jQuery is a cross-platform JavaScript library designed to simplify the client-side scripting of HTML.

Instant Integration- Using td-agent, you can start importing your data from existing log files, web and packaged applications right away.;Streaming or Batch?- You choose! Our data collection tool, td-agent, enables you to stream or batch your data to the cloud in JSON format.;Secure Upload- The connection between td-agent and the cloud is SSL-encrypted, ensuring secure transfer of your data.;Availability- Our best-in-class, multi-tenant architecture uses Amazon S3 to ensure 24x7 availability and automatic replication.;Columnar Database- Our columnar database not only delivers blinding performance, it also compresses data to 5 to 10 percent of its original size.;Schema Free- Unlike traditional databases – even cloud databases – Treasure Data allows you to change your data schema anytime.;SQL-like Query Language- Query your data using our SQL-like language.;BI Tools Connectivity- Treasure Data allows you to use your existing BI/visualization tools (e.g. JasperSoft, Pentaho, Talend, Indicee, Metric Insights) using our JDBC driver.;Enterprise-level Service and Support;No Lock-in- We provide a one-line command to let you export your data anywhere you choose, whenever you choose.
-
Statistics
GitHub Stars
-
GitHub Stars
59.6K
GitHub Forks
-
GitHub Forks
20.5K
Stacks
28
Stacks
195.3K
Followers
44
Followers
70.6K
Votes
5
Votes
6.6K
Pros & Cons
Pros
  • 2
    Scaleability, less overhead
  • 2
    Makes it easy to ingest all data from different inputs
  • 1
    Responsive to our business requirements, great support
Pros
  • 1263
    Cross-browser
  • 957
    Dom manipulation
  • 809
    Power
  • 660
    Open source
  • 610
    Plugins
Cons
  • 6
    Large size
  • 5
    Encourages DOM as primary data source
  • 5
    Sometimes inconsistent API
  • 2
    Live events is overly complex feature
Integrations
Amazon EC2
Amazon EC2
G Suite
G Suite
Heroku
Heroku
Engine Yard Cloud
Engine Yard Cloud
Red Hat OpenShift
Red Hat OpenShift
cloudControl
cloudControl
No integrations available

What are some alternatives to Treasure Data, jQuery?

AngularJS

AngularJS

AngularJS lets you write client-side web applications as if you had a smarter browser. It lets you use good old HTML (or HAML, Jade and friends!) as your template language and lets you extend HTML’s syntax to express your application’s components clearly and succinctly. It automatically synchronizes data from your UI (view) with your JavaScript objects (model) through 2-way data binding.

React

React

Lots of people use React as the V in MVC. Since React makes no assumptions about the rest of your technology stack, it's easy to try it out on a small feature in an existing project.

Vue.js

Vue.js

It is a library for building interactive web interfaces. It provides data-reactive components with a simple and flexible API.

jQuery UI

jQuery UI

Whether you're building highly interactive web applications or you just need to add a date picker to a form control, jQuery UI is the perfect choice.

Svelte

Svelte

If you've ever built a JavaScript application, the chances are you've encountered – or at least heard of – frameworks like React, Angular, Vue and Ractive. Like Svelte, these tools all share a goal of making it easy to build slick interactive user interfaces. Rather than interpreting your application code at run time, your app is converted into ideal JavaScript at build time. That means you don't pay the performance cost of the framework's abstractions, or incur a penalty when your app first loads.

Google BigQuery

Google BigQuery

Run super-fast, SQL-like queries against terabytes of data in seconds, using the processing power of Google's infrastructure. Load data with ease. Bulk load your data using Google Cloud Storage or stream it in. Easy access. Access BigQuery by using a browser tool, a command-line tool, or by making calls to the BigQuery REST API with client libraries such as Java, PHP or Python.

Flux

Flux

Flux is the application architecture that Facebook uses for building client-side web applications. It complements React's composable view components by utilizing a unidirectional data flow. It's more of a pattern rather than a formal framework, and you can start using Flux immediately without a lot of new code.

Amazon Redshift

Amazon Redshift

It is optimized for data sets ranging from a few hundred gigabytes to a petabyte or more and costs less than $1,000 per terabyte per year, a tenth the cost of most traditional data warehousing solutions.

Famo.us

Famo.us

Famo.us is a free and open source JavaScript platform for building mobile apps and desktop experiences. What makes Famo.us unique is its JavaScript rendering engine and 3D physics engine that gives developers the power and tools to build native quality apps and animations using pure JavaScript.

Riot

Riot

Riot brings custom tags to all browsers. Think React + Polymer but with enjoyable syntax and a small learning curve.

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