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Elasticsearch for data business
What do you like best about the product?
Setting up ES is quick and easy for experimentation with Docker. Creating an index on ES is a seamless app experience. Due to the large user base, building frontend apps with ES integration was easy to hire for.
What do you dislike about the product?
The only downside is the work you need to do to structure the date before import. It’s also difficult to update the ES mapping afterwards
What problems is the product solving and how is that benefiting you?
We are building a data business licensing research data for AI development. ES provides a powerful backend for searching through complex datasets and provides more features out of the box than if we had used a nosql db
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Best tool for web analytics, log analysis and works pretty well like a db
What do you like best about the product?
Elastic search is the best tool for working with textual information.
The first advantage is a speed of search of your indexed documents. Millions of documents can be processed and be ready for search immediately.
The second big advantage of elastic search is its scalability. You can start with 1 node but when your project grows you simply adding nodes to the cluster and elastic search manages everything by itself and transfer data equally among nodes.
The third advantage is pretty powerful "free-tier" which is ideal for the startup projects.
Elastic search has a lot of products from the same company ("Elastic stack") which as a set is very powerful "toolbox" for solving set of problems such as: website log analysis, analyzing scientific information, presenting information in graphical form.
My favorite feature is data aggregations when the developer can set a query inside query and then split response for buckets and aggregations do not add any time for query execution.
Working with GEO - data "out- of-the-box"
Elastic search uses http access which is much more convenient than working with Java Lucene directly. In addition response is given is JSON, which is very easy to process.
Additionally it has almost all main languages package support, so we parse data with GO-lang and show it on the website with Java-script.
The first advantage is a speed of search of your indexed documents. Millions of documents can be processed and be ready for search immediately.
The second big advantage of elastic search is its scalability. You can start with 1 node but when your project grows you simply adding nodes to the cluster and elastic search manages everything by itself and transfer data equally among nodes.
The third advantage is pretty powerful "free-tier" which is ideal for the startup projects.
Elastic search has a lot of products from the same company ("Elastic stack") which as a set is very powerful "toolbox" for solving set of problems such as: website log analysis, analyzing scientific information, presenting information in graphical form.
My favorite feature is data aggregations when the developer can set a query inside query and then split response for buckets and aggregations do not add any time for query execution.
Working with GEO - data "out- of-the-box"
Elastic search uses http access which is much more convenient than working with Java Lucene directly. In addition response is given is JSON, which is very easy to process.
Additionally it has almost all main languages package support, so we parse data with GO-lang and show it on the website with Java-script.
What do you dislike about the product?
It's hard to find... However elastic search requires a lot of operative memory as its based on Java and Java Virtual Machine. Its Query DSL (Domain Specific Language) is very different from SQL, so it has some learning curve.
What problems is the product solving and how is that benefiting you?
We use elastic search like a database in real estate website. It fits much better to the task than a SQL database as it provide much more capabilities for data analysis.
Recommendations to others considering the product:
The first recommendation is security - ALWAYS protect 9200 default port (it's better to change the default port in settings), also close a Kibana port 5601. You will be hacked immediately and all your data will be deleted.
1 person found this helpful
Extremely great tool with accurate results production.
What do you like best about the product?
The Swiftype free trial version its very helpful, especially to those just getting started with the system. The tool interface is classy and easy to navigate, finding any search via the Product its quite responsive because of the software functional searching option.
Website management and the capability to track any result with Swiftype is great, and their technical team is always active.
Website management and the capability to track any result with Swiftype is great, and their technical team is always active.
What do you dislike about the product?
None. Very easy tool to deploy and get moving even to those users with little experience with familiar tool.
What problems is the product solving and how is that benefiting you?
Quick obtaining of predictable searches, and effective results tracking and some more benefits from the tool.
Recommendations to others considering the product:
Swiftype is the only tool option for the effective and accuracy searching system, offering quick predictive search results and an easy interface to start using.
Searching Became Efficient With Elastic Search
What do you like best about the product?
As I have already had the title as Searching made easy with Elastic search. The important part of it is that it stores the data in a file and thus makes the search more efficient and faster. We can search the table columns, we can also search for the specific text present in the document in a very faster way. but it would have become difficult in the case of relational DB's.
What do you dislike about the product?
The thing I do not like is that it takes more time to sync the records. Suppose if I wanted to process say 10k records then it takes more time to sync the docs. Thus it shows some kind of inconsistency between data, but after sometime when we refresh, it shows the correct data.
Shard failures occurs so that become difficult to solve.
Shard failures occurs so that become difficult to solve.
What problems is the product solving and how is that benefiting you?
Searching made easy with Elastic Search.
We can search for anything like a specific value from the document in an efficient and faster way.
Easy to Index.
Great support of the libraries.
We can search for anything like a specific value from the document in an efficient and faster way.
Easy to Index.
Great support of the libraries.
Elasticsearch is easy to set up and provides searchers with the results they are looking for
What do you like best about the product?
Setup is a snap. With some JavaScript and an HTML tag, you can be up and running in no time. Administration and analytics is also intuitive, making training optional for marketing staff that want to analyze data right away. It allows you to weight your search, add synonyms, examine useful insights and extend with engagement modules.
What do you dislike about the product?
There's nothing to dislike. Elasticsearch can be extended in many different ways, and some of them, like adding images to search, will require learning how to properly tag content and allocating time to add those tags.
What problems is the product solving and how is that benefiting you?
Although we already had an enterprise search tool built in to our CMS, Elasticsearch was easier to install, configure and administer than what was already built in. The search results were also cleaner and more relevant. In some instances, we wanted to manually make some pages always rank at the top - and manual tweaking was also easy. Most of all, it's a big win for our visitors, who can always get relevant search results that takes them to the content that they need.
Blazing fast search engine, but a steep learning curve
What do you like best about the product?
Speed! ElasticSearch is FAST. It is also flexible. You can create very complex index structures, with filters, aggregations, vast array of sorting options, structuring your documents in a 'noSQL' way and deploy it either on one node or multiple nodes for performance and spreading the load across multiple devices. It works on a local server as well as in the cloud.
What do you dislike about the product?
It is hard to get started with the syntax, the DSL, understanding the intricacies. I also don't like that they deprecate things too fast. Before you can learn how everything works and you manage to implement it, a new version comes out and some of the features are deprecated. The syntax is quite hard to get a hold of and knowing where everything goes is a challenge when you are starting out. The documentation on the website is quite hard to navigate, most of the time you find yourself on the wrong version and the examples don't apply. Many times, the examples are out of date and do not work, even if you are on the correct version.
What problems is the product solving and how is that benefiting you?
I have developed my own e-commerce search engine, integrated with my e-commerce applications. We've increased speed and relevance of results in our website searches as well as added capability for filtering, sorting, scoring, relevance tweaking and more things we could not do with our previous search engine.
Recommendations to others considering the product:
Start simple!
Search your index at a blazing fast response times with Elastic
What do you like best about the product?
Elasticsearch works on Lucene which makes it perform searches on the index/metadata available. It is also good enough to perform an analysis of the searched content.
It just works with any cloud/ on-prem environment.
It just works with any cloud/ on-prem environment.
What do you dislike about the product?
Elastic nodes require to have a large amount of memory and storage in order to work.
Our Elastic is hosted on Azure and we have been using premium disks for better IOPS which results in big cost
Our Elastic is hosted on Azure and we have been using premium disks for better IOPS which results in big cost
What problems is the product solving and how is that benefiting you?
We have using Elasticsearch hosted on Azure Cloud to perform searches on our storage blobs which has the project data from the last 60 years
We are also ingesting our events generated in Azure to Elasticsearch with the help pipelines in Logstash
We are also ingesting our events generated in Azure to Elasticsearch with the help pipelines in Logstash
Fast and efficient tool to search all kind of documents
What do you like best about the product?
1. Allows to store, search, and analyse big volumes of data quickly and in near real time,
2. Useful in applications where complex search features are required,
3. Fast as it does index search,
4. Free, open source,
5. Scalability,
6. Query fine tuning,
7. RESTful API.
2. Useful in applications where complex search features are required,
3. Fast as it does index search,
4. Free, open source,
5. Scalability,
6. Query fine tuning,
7. RESTful API.
What do you dislike about the product?
1. It doesn't support multi language requests and response.
2. It is not so simple to learn. There are many things to learn and needs signifacant amount of time.
2. It is not so simple to learn. There are many things to learn and needs signifacant amount of time.
What problems is the product solving and how is that benefiting you?
We use Elasticsearch in our app for auto-completion and did-you-mean functionality. Auto-completion functionality helps point users to relevant documents as they type. `did-you-mean` functionality allows correcting queries with typos and suggesting the most relevant search request to users.
Recommendations to others considering the product:
Elasticsearch does what it claims. It is very efficient and fast with great searching capabilities. Recommended for SMB's to large enterprises.
Elastic search - fast and efficient
What do you like best about the product?
Elastic search is Java backed search engine with fast and efficient processing.
Supports full text search over http web interface.
Other features like multitenancy, real time search and it uses lucene library.
Supports full text search over http web interface.
Other features like multitenancy, real time search and it uses lucene library.
What do you dislike about the product?
Multi-language support does not exists for handing request and response data.
What problems is the product solving and how is that benefiting you?
Enterprise search requirement to search over large repositories with contents and assets which frequently changes and need to be indexed realtime.
Recommendations to others considering the product:
Highly recommend it to used for developing enterprise search application with an exception of multi-language support
Swiftype offers the most powerful search Engine and easy to set up.
What do you like best about the product?
The platform has an accurate UI which enables search optimization, providing the most accurate and predictable search results through its powerful searching Engine.
Swiftype has a good technical help and free trial version for beginners and it provides the user with amazing websites management capability.
The platform configuration its also very simple and any user can easily adapt to the product usability.
Swiftype has a good technical help and free trial version for beginners and it provides the user with amazing websites management capability.
The platform configuration its also very simple and any user can easily adapt to the product usability.
What do you dislike about the product?
No dislike at all, i perfectly like the tool easy usage and quick accurate results production through its excellent search Engine.
What problems is the product solving and how is that benefiting you?
Quick results provision and easy and effective different websites management and so many useful tool services.
Recommendations to others considering the product:
Highly recommendable search product for quality, accurate and productive search results and also great package for websites management.
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