Elasticsearch vs Ionic

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Elasticsearch
Elasticsearch

8.8K
5.9K
+ 1
1.6K
Ionic
Ionic

3.2K
2.6K
+ 1
1.7K
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Elasticsearch vs Ionic: What are the differences?

Elasticsearch: Open Source, Distributed, RESTful Search Engine. Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack); Ionic: A beautiful front-end framework for developing cross-platform apps with web technologies like Angular and React. Free and open source, Ionic offers a library of mobile and desktop-optimized HTML, CSS and JS components for building highly interactive apps. Use with Angular, React, Vue, or plain JavaScript.

Elasticsearch belongs to "Search as a Service" category of the tech stack, while Ionic can be primarily classified under "Cross-Platform Mobile Development".

Some of the features offered by Elasticsearch are:

  • Distributed and Highly Available Search Engine.
  • Multi Tenant with Multi Types.
  • Various set of APIs including RESTful

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

  • Performance obsessed
  • Utilizes Angular and React
  • Native focused

"Powerful api", "Great search engine" and "Open source" are the key factors why developers consider Elasticsearch; whereas "Allows for rapid prototyping", "Hybrid mobile" and "It's angularjs" are the primary reasons why Ionic is favored.

Elasticsearch and Ionic are both open source tools. It seems that Elasticsearch with 41.9K GitHub stars and 14K forks on GitHub has more adoption than Ionic with 38.4K GitHub stars and 13.1K GitHub forks.

Instacart, Slack, and Stack Exchange are some of the popular companies that use Elasticsearch, whereas Ionic is used by Sellsuki, Edify, and eTobb. Elasticsearch has a broader approval, being mentioned in 1976 company stacks & 936 developers stacks; compared to Ionic, which is listed in 392 company stacks and 350 developer stacks.

What is Elasticsearch?

Elasticsearch is a distributed, RESTful search and analytics engine capable of storing data and searching it in near real time. Elasticsearch, Kibana, Beats and Logstash are the Elastic Stack (sometimes called the ELK Stack).

What is Ionic?

Free and open source, Ionic offers a library of mobile and desktop-optimized HTML, CSS and JS components for building highly interactive apps. Use with Angular, React, Vue, or plain JavaScript.
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What are some alternatives to Elasticsearch and Ionic?
Solr
Solr is the popular, blazing fast open source enterprise search platform from the Apache Lucene project. Its major features include powerful full-text search, hit highlighting, faceted search, near real-time indexing, dynamic clustering, database integration, rich document (e.g., Word, PDF) handling, and geospatial search. Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more. Solr powers the search and navigation features of many of the world's largest internet sites.
Lucene
Lucene Core, our flagship sub-project, provides Java-based indexing and search technology, as well as spellchecking, hit highlighting and advanced analysis/tokenization capabilities.
MongoDB
MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
Algolia
Our mission is to make you a search expert. Push data to our API to make it searchable in real time. Build your dream front end with one of our web or mobile UI libraries. Tune relevance and get analytics right from your dashboard.
Splunk
Splunk Inc. provides the leading platform for Operational Intelligence. Customers use Splunk to search, monitor, analyze and visualize machine data.
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Decisions about Elasticsearch and Ionic
No stack decisions found
Interest over time
Reviews of Elasticsearch and Ionic
Review ofIonicIonic

great framework,lots of resources,great community,easy to create UI

How developers use Elasticsearch and Ionic
Avatar of imgur
imgur uses ElasticsearchElasticsearch

Elasticsearch is the engine that powers search on the site. From a high level perspective, it’s a Lucene wrapper that exposes Lucene’s features via a RESTful API. It handles the distribution of data and simplifies scaling, among other things.

Given that we are on AWS, we use an AWS cloud plugin for Elasticsearch that makes it easy to work in the cloud. It allows us to add nodes without much hassle. It will take care of figuring out if a new node has joined the cluster, and, if so, Elasticsearch will proceed to move data to that new node. It works the same way when a node goes down. It will remove that node based on the AWS cluster configuration.

Avatar of Instacart
Instacart uses ElasticsearchElasticsearch

The very first version of the search was just a Postgres database query. It wasn’t terribly efficient, and then at some point, we moved over to ElasticSearch, and then since then, Andrew just did a lot of work with it, so ElasticSearch is amazing, but out of the box, it doesn’t come configured with all the nice things that are there, but you spend a lot of time figuring out how to put it all together to add stemming, auto suggestions, all kinds of different things, like even spelling adjustments and tomato/tomatoes, that would return different results, so Andrew did a ton of work to make it really, really nice and build a very simple Ruby gem called SearchKick.

Avatar of AngeloR
AngeloR uses ElasticsearchElasticsearch

We use ElasticSearch for

  • Session Logs
  • Analytics
  • Leaderboards

We originally self managed the ElasticSearch clusters, but due to our small ops team size we opt to move things to managed AWS services where possible.

The managed servers, however, do not allow us to manage our own backups and a restore actually requires us to open a support ticket with them. We ended up setting up our own nightly backup since we do per day indexes for the logs/analytics.

Avatar of Brandon Adams
Brandon Adams uses ElasticsearchElasticsearch

Elasticsearch has good tooling and supports a large api that makes it ideal for denormalizing data. It has a simple to use aggregations api that tends to encompass most of what I need a BI tool to do, especially in the early going (when paired with Kibana). It's also handy when you just want to search some text.

Avatar of Ana Phi Sancho
Ana Phi Sancho uses ElasticsearchElasticsearch

Self taught : acquired knowledge or skill on one's own initiative. Open Source Search & Analytics. -time search and analytics engine. Search engine based on Lucene. It provides a distributed, multitenant-capable full-text search engine with an HTTP web interface and schema-free JSON documents.

Avatar of Pascal Malbranche
Pascal Malbranche uses IonicIonic

We use Ionic as it is an awesome framework to build mobile hybrid apps with nativ access. Also Ionic has a nice community!

Avatar of Christian Bryant
Christian Bryant uses IonicIonic

Cross-Platform goodness. I am a noob here...learning how to implement Ionic is on the top of my ToDo's

Avatar of papaver
papaver uses IonicIonic

used on a recent project, an internal custom app developed for both ios and android.

Avatar of Grupo Gamma Peninsular, SA de CV
Grupo Gamma Peninsular, SA de CV uses IonicIonic

Desarrollo de aplicaciones multi-plataforma con HTML5, JavaScript y CSS3

Avatar of AmericanBibleSociety
AmericanBibleSociety uses IonicIonic

We have plans to employ this frontend framework in future apps.

How much does Elasticsearch cost?
How much does Ionic cost?
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