Software Alternatives, Accelerators & Startups

AG Grid VS Databricks

Compare AG Grid VS Databricks and see what are their differences

AG Grid logo AG Grid

The best HTML5 datagrid in the world

Databricks logo Databricks

Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.โ€ŽWhat is Apache Spark?
  • AG Grid Landing page
    Landing page //
    2023-08-02
  • Databricks Landing page
    Landing page //
    2023-09-14

AG Grid features and specs

  • Highly Customizable
    AG Grid provides extensive customization options to tailor the grid's appearance and behavior, allowing developers to adjust the grid according to specific project requirements.
  • Rich Feature Set
    It offers a comprehensive set of features including filtering, sorting, grouping, and pivoting, which can cater to complex data visualization needs.
  • Performance
    AG Grid is optimized for handling large datasets efficiently, providing smooth scrolling and quick data operations without significant lag.
  • Wide Range of Integrations
    It supports integration with major frontend frameworks like Angular, React, and Vue, enabling seamless incorporation into diverse tech stacks.
  • Community and Enterprise Editions
    AG Grid offers both free and paid versions, allowing users to choose based on budget and feature requirements, with enterprise options including additional advanced features.

Possible disadvantages of AG Grid

  • Complexity
    Due to its extensive feature set, AG Grid has a steep learning curve, which can be overwhelming for beginners.
  • Size
    The library can be quite large, potentially affecting the initial load time of applications that require quick startup performance.
  • Cost for Enterprise Features
    To access the most advanced features, users need to purchase the enterprise version, which may not be feasible for small projects or teams with limited budgets.
  • Overhead for Simple Use Cases
    For projects that require only basic grid functionalities, AG Grid might be overkill, leading to unnecessary complexity and resource usage.
  • Documentation Depth
    While documentation is generally comprehensive, it can sometimes lack depth in explaining specific use cases or advanced customization, requiring additional time for exploration and experimentation.

Databricks features and specs

  • Unified Data Analytics Platform
    Databricks integrates various data processing and analytics tools, offering a unified environment for data engineering, machine learning, and business analytics. This integration can streamline workflows and reduce the complexity of data management.
  • Scalability
    Databricks leverages Apache Spark and other scalable technologies to handle large datasets and high computational workloads efficiently. This makes it suitable for enterprises with significant data processing needs.
  • Collaborative Environment
    The platform offers collaborative notebooks that allow data scientists, engineers, and analysts to work together in real-time. This enhances productivity and fosters better communication within teams.
  • Performance Optimization
    Databricks includes various performance optimization features such as caching, indexing, and query optimization, which can significantly speed up data processing tasks.
  • Support for Various Data Formats
    The platform supports a wide range of data formats and sources, including structured, semi-structured, and unstructured data, making it versatile and adaptable to different use cases.
  • Integration with Cloud Providers
    Databricks is designed to work seamlessly with major cloud providers like AWS, Azure, and Google Cloud, allowing users to easily integrate it into their existing cloud infrastructure.

Possible disadvantages of Databricks

  • Cost
    Databricks can be expensive, especially for large-scale deployments or high-frequency usage. It may not be the most cost-effective solution for smaller organizations or projects with limited budgets.
  • Complexity
    While powerful, Databricks can be complex to set up and manage, requiring specialized knowledge in Apache Spark and cloud infrastructure. This might lead to a steeper learning curve for new users.
  • Dependency on Cloud Providers
    Being heavily integrated with cloud providers, Databricks might face issues like vendor lock-in, where switching providers becomes difficult or costly.
  • Limited Offline Capabilities
    Databricks is primarily designed for cloud environments, which means offline or on-premise capabilities are limited, posing challenges for organizations with strict data governance policies.
  • Resource Management
    Efficiently managing and allocating resources can be challenging in Databricks, especially in large multi-user environments. Mismanagement of resources could lead to increased costs and reduced performance.

AG Grid videos

ag-Grid Conf 2018 | Complexity and Performance | Niall Crosby

More videos:

  • Review - All about ag-grid in angular 6
  • Review - Track 1 Day 2 Livestream | AngularConnect 2019 | Sponsored by ag-Grid

Databricks videos

Introduction to Databricks

More videos:

  • Tutorial - Azure Databricks Tutorial | Data transformations at scale
  • Review - Databricks - Data Movement and Query

Category Popularity

0-100% (relative to AG Grid and Databricks)
Data Grid
100 100%
0% 0
Data Dashboard
10 10%
90% 90
JavaScript Tools
100 100%
0% 0
Big Data Analytics
0 0%
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 AG Grid and Databricks

AG Grid Reviews

Using AG Grid in React: Guide and alternatives
In this guide, we introduced the basic functionalities of the ag-grid-react library and demonstrated how to use AG Grid to build and style a data grid in a React app. To compare alternatives to AG Grid, also built a similar data grid in TanStack Table, Glide Data Grid, and MUI Data Grid. Each library has a unique set of features and tradeoffs, so itโ€™s important to choose the...
The Best React Data Grid/Table Libraries with Material Design in 2023 - MRT Blog
The "AG" in AG Grid stands for "Agnostic Grid," which means that the library works in multiple JavaScript Frameworks besides React. On the same note, though, AG Grid does not use Material UI under the hood like all of the other libraries on this list. However, it does stick very close to Material Design, so it will not stick out too far from the rest of the components in...
Best Free and Open-Source JavaScript Data Grid Libraries and Widgets
AG Grid calls itself the best JavaScript library for creating data tables, and for good reason. Major highlights of the library include its excellent performance, no dependency on third-party libraries, and smooth integration with all the major JavaScript frameworks such as Angular, React, and Vue.js. This goes without saying, but you can also use the library with plain...

Databricks Reviews

Jupyter Notebook & 10 Alternatives: Data Notebook Review [2023]
Databricks notebooks are a popular tool for developing code and presenting findings in data science and machine learning. Databricks Notebooks support real-time multilingual coauthoring, automatic versioning, and built-in data visualizations.
Source: lakefs.io
7 best Colab alternatives in 2023
Databricks is a platform built around Apache Spark, an open-source, distributed computing system. The Databricks Community Edition offers a collaborative workspace where users can create Jupyter notebooks. Although it doesn't offer free GPU resources, it's an excellent tool for distributed data processing and big data analytics.
Source: deepnote.com
Top 5 Cloud Data Warehouses in 2023
Jan 11, 2023 The 5 best cloud data warehouse solutions in 2023Google BigQuerySource: https://cloud.google.com/bigqueryBest for:Top features:Pros:Cons:Pricing:SnowflakeBest for:Top features:Pros:Cons:Pricing:Amazon RedshiftSource: https://aws.amazon.com/redshift/Best for:Top features:Pros:Cons:Pricing:FireboltSource: https://www.firebolt.io/Best for:Top...
Top 10 AWS ETL Tools and How to Choose the Best One | Visual Flow
Databricks is a simple, fast, and collaborative analytics platform based on Apache Spark with ETL capabilities. It accelerates innovation by bringing together data science and data science businesses. It is a fully managed open-source version of Apache Spark analytics with optimized connectors to storage platforms for the fastest data access.
Source: visual-flow.com
Top Big Data Tools For 2021
Now Azure Databricks achieves 50 times better performance thanks to a highly optimized version of Spark. Databricks also enables real-time co-authoring and automates versioning. Besides, it features runtimes optimized for machine learning that include many popular libraries, such as PyTorch, TensorFlow, Keras, etc.

Social recommendations and mentions

Based on our record, Databricks should be more popular than AG Grid. It has been mentiond 18 times since March 2021. 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.

AG Grid mentions (10)

  • My Failed Student Housing App
    I made extensive use of AG Grid. There are LiveView hooks and whatnot showing how I loaded data, and stylized different types like bools, links, and status. - Source: dev.to / over 2 years ago
  • Supporting Circularly Referenced Mapped Types in Typescript
    In the remainder of this post I will share how I resolved this error for a type called NestedFieldPaths that is a key part of the AG Grid library. - Source: dev.to / almost 3 years ago
  • Generate array of all an interface's keys with Typescript
    When working with a large and complex code base like AG Grid it is very easy to miss updating certain parts of the code base. - Source: dev.to / over 3 years ago
  • Does Angular Support Generic Component Types?
    To give a concrete example of the breakdown in inference we can look at the ag-grid-angular component from AG Grid. This component is generic with respect to row data. It is defined in the following way with many properties omitted for brevity. - Source: dev.to / almost 4 years ago
  • Write Typescript in the browser with SystemJs
    Yes, this does require you to get your SystemJs config setup right but that is why I am sharing this starter that I used for our AG Grid demos so that you can get started easily. - Source: dev.to / over 4 years ago
View more

Databricks mentions (18)

  • Platform Engineering Abstraction: How to Scale IaC for Enterprise
    Vendors like Confluent, Snowflake, Databricks, and dbt are improving the developer experience with more automation and integrations, but they often operate independently. This fragmentation makes standardizing multi-directional integrations across identity and access management, data governance, security, and cost control even more challenging. Developing a standardized, secure, and scalable solution for... - Source: dev.to / almost 2 years ago
  • dolly-v2-12b
    Dolly-v2-12bis a 12 billion parameter causal language model created by Databricks that is derived from EleutherAIโ€™s Pythia-12b and fine-tuned on a ~15K record instruction corpus generated by Databricks employees and released under a permissive license (CC-BY-SA). Source: over 3 years ago
  • Clickstream data analysis with Databricks and Redpanda
    Global organizations need a way to process the massive amounts of data they produce for real-time decision making. They often utilize event-streaming tools like Redpanda with stream-processing tools like Databricks for this purpose. - Source: dev.to / almost 4 years ago
  • DeWitt Clause, or Can You Benchmark %DATABASE% and Get Away With It
    Databricks, a data lakehouse company founded by the creators of Apache Spark, published a blog post claiming that it set a new data warehousing performance record in 100 TB TPC-DS benchmark. It was also mentioned that Databricks was 2.7x faster and 12x better in terms of price performance compared to Snowflake. - Source: dev.to / about 4 years ago
  • A Quick Start to Databricks on AWS
    Go to Databricks and click the Try Databricks button. Fill in the form and Select AWS as your desired platform afterward. - Source: dev.to / over 4 years ago
View more

What are some alternatives?

When comparing AG Grid and Databricks, you can also consider the following products

Handsontable - JavaScript Spreadsheet

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

MUI X Data Grid - A fast and extensible React data table and React data grid, with filtering, sorting, aggregation, and more.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

TanStack Table - Headless UI for building powerful tables & datagrids with TS/JS, React, Solid, Svelte and Vue

Looker - Looker makes it easy for analysts to create and curate custom data experiencesโ€”so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.