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TimescaleDB VS D3.js

Compare TimescaleDB VS D3.js and see what are their differences

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TimescaleDB logo TimescaleDB

TimescaleDB is a time-series SQL database providing fast analytics, scalability, with automated data management on a proven storage engine.

D3.js logo D3.js

D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
  • TimescaleDB Landing page
    Landing page //
    2023-09-23
  • D3.js Landing page
    Landing page //
    2023-07-11

D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.

D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and community-developed modules.

TimescaleDB features and specs

  • Scalability
    TimescaleDB offers excellent horizontal and vertical scalability, which allows it to handle large volumes of data efficiently. Its architecture is designed to accommodate growth by distributing and efficiently managing data shards.
  • Time-Series Data Optimization
    Specifically optimized for time-series data, TimescaleDB provides features like hypertables and continuous aggregates that speed up queries and optimize storage for time-based data.
  • SQL Compatibility
    As an extension of PostgreSQL, TimescaleDB offers full SQL support, making it familiar to developers and allowing easy integration with existing SQL-based systems and applications.
  • Retention Policies
    TimescaleDB includes built-in data retention policies, enabling automatic management of historical data and freeing up storage by performing automatic data roll-ups or deletes.
  • Integration with the PostgreSQL Ecosystem
    It benefits from PostgreSQL's rich ecosystem of extensions, tools, and optimizations, allowing for versatile use cases beyond just time-series data while maintaining robust reliability and performance.

Possible disadvantages of TimescaleDB

  • Learning Curve
    Although it’s SQL-based, developers might face a learning curve to fully leverage TimescaleDB's time-series specific features such as hypertables and specific optimization techniques.
  • Limited Write Scalability
    While it's scalable, TimescaleDB might face challenges with extremely high-throughput write workloads compared to some NoSQL time-series databases, which are specifically built for such tasks.
  • Dependency on PostgreSQL
    As it operates as a PostgreSQL extension, any limitations and issues in PostgreSQL might directly affect TimescaleDB's performance and capabilities.
  • Complexity in Setup for High Availability
    Setting up TimescaleDB with high availability and distributed systems might introduce complexities, particularly for organizations that are not well-versed in PostgreSQL clustering and replication strategies.
  • Storage Overhead
    The additional storage features add an overhead, which means that while it adds value with its optimizations, users need to manage storage resources effectively, especially in environments with very large datasets.

D3.js features and specs

  • Powerful Visualization
    D3.js allows for the creation of highly customized and interactive data visualizations, harnessing the full power of web standards like SVG, Canvas, and HTML.
  • Data Binding
    It offers robust support for data-driven transformations and binding, enabling intuitive connections between data sets and DOM elements.
  • Community and Ecosystem
    A large and active community contributes to tutorials, plugins, and tools, which can significantly simplify the development process.
  • Flexibility
    D3.js is highly flexible, providing low-level manipulation capabilities without being tied to any specific chart types or patterns.
  • Performance
    It is highly optimized for performance, allowing for efficient rendering of complex visualizations even with large data sets.

Possible disadvantages of D3.js

  • Steep Learning Curve
    D3.js has a steep learning curve due to its low-level nature and requires a solid understanding of JavaScript, DOM manipulation, and data concepts.
  • Complexity
    Creating complex visualizations can be time-consuming and require a significant amount of custom code, making it less approachable for quick, simple tasks.
  • Browser Compatibility
    Although widely supported, some D3.js features may have inconsistent behavior across different browsers, requiring additional testing and debugging.
  • Documentation
    While extensive, D3.js documentation can be challenging for beginners to navigate and understand, causing misunderstandings and slower development times.
  • Dependency Management
    The library itself is modular, but managing dependencies and integrating D3.js with other JavaScript frameworks or libraries can sometimes be problematic.

Analysis of D3.js

Overall verdict

  • Yes, D3.js is a highly regarded library for data visualization in the web development community.

Why this product is good

  • Flexibility: D3.js provides incredible flexibility in creating complex and interactive visualizations with web standards (SVG, HTML, and CSS).
  • Customization: It allows for high levels of customization, which lets developers create unique and detailed visualizations tailored to their specific needs.
  • Community and Ecosystem: D3.js has a large, active community and a rich ecosystem of plugins and extensions conducive to learning and integration.
  • Data Binding: Offers powerful ways to manipulate documents based on data; the data-driven approach simplifies dynamic interaction creation.
  • Performance: Efficiently manipulates DOM elements and performs well with large datasets if used correctly.

Recommended for

  • Data Scientists and Analysts looking to create custom, interactive visualizations.
  • Web Developers who need to incorporate complex data visualizations into applications.
  • Educators and Researchers presenting data in an engaging way.
  • Anyone needing to build bespoke visualizations that are not possible with off-the-shelf solutions.

TimescaleDB videos

+ Add

Rearchitecting a SQL Database for Time-Series Data | TimescaleDB

More videos:

  • Review - Visualizing Time-Series Data with TimescaleDB and Grafana

D3.js videos

+ Add

Data Visualization with D3.js - Full Tutorial Course

More videos:

  • Review - Let's learn D3.js - D3 for data visualization (full course)

Category Popularity

0-100% (relative to TimescaleDB and D3.js)

TimescaleDB

D3.js

Databases
100 100%
Databases
0% 0
Charting Libraries
0 0%
Charting Libraries
100% 100
Time Series Database
100 100%
Time Series Database
0% 0
Data Visualization
0 0%
Data Visualization
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare TimescaleDB and D3.js

TimescaleDB Reviews

ClickHouse vs TimescaleDB
Recently, TimescaleDB published a blog comparing ClickHouse & TimescaleDB using timescale/tsbs, a timeseries benchmarking framework. I have some experience with PostgreSQL and ClickHouse but never got the chance to play with TimescaleDB. Some of the claims about TimescaleDB made in their post are very bold, that made me even more curious. I thought it’d be a great...
Source: pradeepchhetri.xyz
4 Best Time Series Databases To Watch in 2019
The Guardian did a very nice article explaining on they went from MongoDB to PostgresSQL in the favor of scaling their architecture and encrypting their content at REST. As you can tell, big companies are relying on SQL-constraint systems (with a cloud architecture of course) to ensure system reliability and accessibility. I believe that PostgresSQL will continue to grow, so...
Source: medium.com
20+ MongoDB Alternatives You Should Know About
TimescaleDB If on the other hand you are storing time series data in MongoDB, then TimescaleDB might be a good fit.
Source: www.percona.com

D3.js Reviews

6 JavaScript Charting Libraries for Powerful Data Visualizations in 2023
Depending on your requirements, the best JavaScript library is D3.js, as it’s by far the most customizable. However, it’s also really complex and difficult to master. Plus, it’s not as compatible with TypeScript as it is with JavaScript, which can be off-putting for some developers. If you’d prefer a less complex library that you can use with TypeScript, ECharts, and...
Source: embeddable.com
15 JavaScript Libraries for Creating Beautiful Charts
When we think of charting today, D3.js is the first name that comes up. Being an open source project, D3.js definitely brings many powerful features that were missing in most of the existing libraries. Features like dynamic properties, Enter and Exit, powerful transitions, and syntax familiarity with jQuery make it one the best JavaScript libraries for charting. Charts in...
Source: www.sitepoint.com
Top 20 Javascript Libraries
D3 stands for Data-Driven Documents. With D3, you can apply data-driven transformations to DOM objects. The keyword with D3 is ‘data-driven,’ which means documents are manipulated depending on the data received. Data can be received in any format and bound with DOM objects. D3 is very fast and supports dynamic behavior for animation and interactions. There are plenty of...
Source: hackr.io
20+ JavaScript libraries to draw your own diagrams (2022 edition)
D3.js is a JavaScript library for manipulating documents based on data. Right now, I would say is the most popular library of its kind.
Source: modeling-languages.com
15 data science tools to consider using in 2021
Another open source tool, D3.js is a JavaScript library for creating custom data visualizations in a web browser. Commonly known as D3, which stands for Data-Driven Documents, it uses web standards, such as HTML, Scalable Vector Graphics and CSS, instead of its own graphical vocabulary. D3's developers describe it as a dynamic and flexible tool that requires a minimum amount...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, D3.js seems to be a lot more popular than TimescaleDB. While we know about 167 links to D3.js, we've tracked only 5 mentions of TimescaleDB. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

TimescaleDB mentions (5)

  • Ask HN: Does anyone use InfluxDB? Or should we switch?
    (:alert: I work for Timescale :alert:) It's funny, we hear this more and more "we did some research and landed on Influx and ... Help it's confusing". We actually wrote an article about what we think, you can find it here: https://www.timescale.com/blog/what-influxdb-got-wrong/ As the QuestDB folks mentioned if you want a drop in replacement for Influx then they would be an option, it kinda sounds that's not what... - Source: Hacker News / over 1 year ago
  • Best small scale dB for time series data?
    If you like PostgreSQL, I'd recommend starting with that. Additionally, you can try TimescaleDB (it's a PostgreSQL extension for time-series data with full SQL support) it has many features that are useful even on a small-scale, things like:. Source: almost 3 years ago
  • Quick n Dirty IoT sensor & event storage (Django backend)
    I have built a Django server which serves up the JSON configuration, and I'd also like the server to store and render sensor graphs & event data for my Thing. In future, I'd probably use something like timescale.com as it is a database suited for this application. However right now I only have a handful of devices, and don't want to spend a lot of time configuring my back end when the Thing is my focus. So I'm... Source: over 3 years ago
  • How fast and scalable is TimescaleDB compare to a NoSQL Database?
    I've seen a lot of benchmark results on timescale on the web but they all come from timescale.com so I just want to ask if those are accurate. Source: almost 4 years ago
  • The State of PostgreSQL 2021 Survey is now open!
    Ryan from Timescale here. We (TimescaleDB) just launched the second annual State of PostgreSQL survey, which asks developers across the globe about themselves, how they use PostgreSQL, their experiences with the community, and more. Source: about 4 years ago

D3.js mentions (167)

  • IO Devices and Latency
    Do you mean something for data visualization, or tricks condensing large data sets with cursors? https://d3js.org/ Best of luck =3. - Source: Hacker News / 3 months ago
  • 2024 Nuxt3 Annual Ecosystem Summary🚀
    Document address: D3.js Official Document. - Source: dev.to / 6 months ago
  • 100+ Must-Have Web Development Resources
    D3.js: One of the most popular JavaScript visualization libraries. - Source: dev.to / 8 months ago
  • What are npm Peer Dependencies and how to use them?
    A Dependency is an npm package that our code depends on in order to be able to run. Some popular packages that can be added as dependencies are lodash, D3, and chartjs. - Source: dev.to / 8 months ago
  • Introducing RacingBars 📊
    RacingBars is an open-source, light-weight (~45kb gzipped), easy-to-use, and feature-rich javascript library for bar chart race, based on D3.js. - Source: dev.to / 10 months ago
View more

What are some alternatives?

When comparing TimescaleDB and D3.js, you can also consider the following products

InfluxData - Scalable datastore for metrics, events, and real-time analytics.

Chart.js - Easy, object oriented client side graphs for designers and developers.

VictoriaMetrics - Fast, easy-to-use, and cost-effective time series database

Plotly - Low-Code Data Apps

Prometheus - An open-source systems monitoring and alerting toolkit.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

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