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AG Grid VS ElasticSearch

Compare AG Grid VS ElasticSearch and see what are their differences

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AG Grid logo AG Grid

The best HTML5 datagrid in the world

ElasticSearch logo ElasticSearch

Elasticsearch is an open source, distributed, RESTful search engine.
  • AG Grid Landing page
    Landing page //
    2023-08-02
  • ElasticSearch Landing page
    Landing page //
    2023-10-10

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.

ElasticSearch features and specs

  • Scalability
    ElasticSearch is highly scalable, allowing you to handle large volumes of data and distribute indexing and search tasks across multiple nodes.
  • Real-Time Data
    It provides real-time indexing and searching capabilities, making it suitable for applications that require up-to-the-minute data retrieval and analysis.
  • Full-Text Search
    ElasticSearch is well-known for its powerful full-text search capabilities, enabling complex search queries and supporting a wide range of search options.
  • Complex Query Support
    It offers a rich query language allowing for complex and nested searching with filters, aggregations, and more.
  • Distributed Architecture
    ElasticSearch is designed to be distributed by nature, making it resilient to node failures and allowing data and search requests to be distributed across a cluster.
  • Open Source
    ElasticSearch is open-source, offering flexibility and a large community of developers that contribute to its continuous improvement and support.
  • Analytics
    Besides search, it also supports powerful analytics and visualization tools, especially when integrated with Kibana, its visualization dashboard.
  • Integrations
    ElasticSearch can easily integrate with various data sources and frameworks, enhancing its usability across different applications.

Possible disadvantages of ElasticSearch

  • Complexity
    Operating ElasticSearch can be complex, particularly when dealing with large-scale deployments, requiring specialized knowledge and expertise.
  • Resource Intensive
    ElasticSearch can be resource-intensive, requiring significant amounts of RAM and CPU, which can be costly for large-scale operations.
  • Consistency
    As a distributed system, ElasticSearch can sometimes face consistency issues, especially in scenarios involving partitions or network failures.
  • Security
    Though security features are available, they often require additional configurations and are more robust in the paid versions, which can be a concern for open-source users.
  • Cost
    While the core ElasticSearch software is open-source, scaling and additional features (like security, monitoring, and machine learning) are part of the paid Elastic Stack offerings.
  • Learning Curve
    There is a steep learning curve associated with mastering ElasticSearch and its query DSL (Domain Specific Language), which can be a barrier for new users.
  • Maintenance
    Properly maintaining an ElasticSearch cluster requires ongoing management, monitoring, and tuning to ensure optimal performance.
  • Backup and Restore
    Managing backups and restores can be cumbersome and is not as straightforward as in some other databases or data storage solutions.

AG Grid videos

+ Add

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

ElasticSearch videos

+ Add

What is Elasticsearch?

More videos:

  • Review - Real world Elasticsearch Compose/Stack File Review
  • Demo - Elastic Search

Category Popularity

0-100% (relative to AG Grid and ElasticSearch)

AG Grid

ElasticSearch

Data Grid
100 100%
Data Grid
0% 0
Custom Search Engine
0 0%
Custom Search Engine
100% 100
Design Tools
100 100%
Design Tools
0% 0
Custom Search
0 0%
Custom Search
100% 100

User comments

Share your experience with using AG Grid and ElasticSearch. For example, how are they different and which one is better?
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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 ElasticSearch

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 it’s important to choose the...
Source: blog.logrocket.com
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...
Source: www.material-react-table.com
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...
Source: code.tutsplus.com

ElasticSearch Reviews

Log analysis: Elasticsearch vs Apache Doris
Benchmark tests with ES Rally, the official testing tool for Elasticsearch, showed that Apache Doris was around 5 times as fast as Elasticsearch in data writing, 2.3 times as fast in queries, and it consumed only 1/5 of the storage space that Elasticsearch used. On the test dataset of HTTP logs, it achieved a writing speed of 550 MB/s and a compression ratio of 10:1.
Source: doris.apache.org
4 Leading Enterprise Search Software to Look For in 2022
“ We’ve built some big data search and mobile desktop applications that help our customers experience fast natural language search. Some applications require this, where I need to find data, I don’t want to build some complex query, I just need to ask the system “help me search for this information, narrow my results” and I don't want to wait several seconds. We’ve built a...
Source: ascendixtech.com
Top 10 Site Search Software Tools & Plugins for 2022
Elasticsearch is built for human users, which means that it’s equipped to handle mistakes that humans often make such as typos. This helps to improve search relevance and enhance the overall search experience. It offers real-time crawling, which automatically detects changes in content and ensures that search results are fresh and relevant.
Source: influencermarketinghub.com
Best Elasticsearch alternatives for search
However, when it comes to dealing with synonyms (i.e. ‘smart phone’ for ‘Samsung Galaxy’), slang (i.e. ‘kicks’ for ‘Nike Air Jordans’) and context (i.e. ‘car park’ is different to ‘dog park’) – you have to set up a bunch of manual rules/definitions with Elasticsearch and co.
Source: relevance.ai
5 Open-Source Search Engines For your Website
Elasticsearch provides key features like Advanced Full-Text Search Capabilities like Data indexing, Search capabilities including phrases, wildcards, auto suggestions, filters & facets, etc... Elasticsearch can also be used for other use-cases like
Source: vishnuch.tech

Social recommendations and mentions

Based on our record, ElasticSearch should be more popular than AG Grid. It has been mentiond 17 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 / about 1 year 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 / over 1 year 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 / about 2 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 / over 2 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 3 years ago
View more

ElasticSearch mentions (17)

  • ElasticSearch from the Azure store or from Elastic.co?
    What surprised me is that on the Azure store, the only option I see is (Pay as you go), whereas on elastic.co there are the standard platinum and enterprise tiers followed by a where to deploy page and a pricing overview. Source: almost 2 years ago
  • Hunspell on elastic.co cloud
    Can anyone help me how to upload custom hunspell stemmer files to elastic cloud (elastic.co)? According to elastic docs it should go under elasticsearch/config/hunspell, but according to cloud docs I should upload it via features/extension tab. So I tried zipping the hunspell folder and uploading it. I also figured out that it should be in the dictionaries folder, but after uploading it still doesn't work. Source: almost 2 years ago
  • Creating a modern, SaaS website.. what am I missing?
    I can't figure out where I have to go to get more or less of a custom, premium website. I should mention that I look up to websites like elastic.co for example, would be very happy with something like that. I could really use some guidance! Source: about 2 years ago
  • Ask HN: Who is hiring? (October 2022)
    Elastic | Multiple software engineering roles | REMOTE (EMEA) | Full-time | https://elastic.co Elastic offers solutions for security and observability that are built on a single, open technology stack that can be deployed anywhere. Elastic Security enables security teams to prevent, detect, and respond to attacks with a solution built atop the speed and reliable of the Elastic stack. The Security External... - Source: Hacker News / over 2 years ago
  • Seeking clarification about which part of ElasticSearch to use for our website
    I have been trying to digest the elastic.co website to try to understand how we can use elastic search, but I've come to a point where I'm not sure which part of elastic, (if any) makes sense for us. In fact I am royally confused. I wonder if anyone here can help clarify? Source: almost 3 years ago
View more

What are some alternatives?

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

Handsontable - JavaScript Spreadsheet

Algolia - Algolia's Search API makes it easy to deliver a great search experience in your apps & websites. Algolia Search provides hosted full-text, numerical, faceted and geolocalized search.

Bryntum - High performance web components for SaaS apps - including Gantt, Scheduler, Grid, Calendar and Kanban widgets. Seamless integration with React, Vue, Angular or plain JS apps.

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...

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

Typesense - Typo tolerant, delightfully simple, open source search 🔍

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