External reviews
288 reviews
from
and
External reviews are not included in the AWS star rating for the product.
We used swiftype for 5+ years
What do you like best about the product?
It has best grade plugins available. Majorly we used jquery plugin that is easily usable.
What do you dislike about the product?
Because of unstructured data, some time the accuracy of swiftype results are not of great quality.
What problems is the product solving and how is that benefiting you?
We are searching in our documentation, all static webpages and Knowledge base articles.
Awesome Search Engine in market.
What do you like best about the product?
1. One of the best search engines with flexible content search.
2. one of the USPs is Open source and works for extensive database search, which is fast and scalable as required.
3. one of the first tools having extensive textbase search and duplicate delete functionality.
4. Used for extensive databases like geo data and unstructured data.
5. Data is in JSN format, which is lightweight and easy to operate.
6. Sometimes, we can use this for Application performance measuring and log search.
2. one of the USPs is Open source and works for extensive database search, which is fast and scalable as required.
3. one of the first tools having extensive textbase search and duplicate delete functionality.
4. Used for extensive databases like geo data and unstructured data.
5. Data is in JSN format, which is lightweight and easy to operate.
6. Sometimes, we can use this for Application performance measuring and log search.
What do you dislike about the product?
1. It sometimes becomes messy while operating more extensive data.
2. occupies maximum space and becomes fuzzy.
3. There is no GUI for operating.
2. occupies maximum space and becomes fuzzy.
3. There is no GUI for operating.
What problems is the product solving and how is that benefiting you?
Searching data is fast and scalable.
Recommendations to others considering the product:
Best in class Search engine while operating massive amount of data.
Advanced search mechanism with elastic search
What do you like best about the product?
I don't know the backend of elastic search but the way it perform searches is incredible. I have 90000 records in my index and each record was quite huge but still while fetching it just didn't take long time.
It work very fast and incredibly
It work very fast and incredibly
What do you dislike about the product?
There should be some proper documentation for request and expected response from elastic search.
What problems is the product solving and how is that benefiting you?
I used elastic search for distance query and geolocation query where I was suppling coordinates for the same and in return I am getting data or record present inside it.
It is super cool how elastic search searches in geo way.
It is super cool how elastic search searches in geo way.
Running Search for hundreds of global CPG company's brand Websites
What do you like best about the product?
People coming from Google Search Experience will be easily able to relate easy of use what you wull get from the Swiftype implementation. Drop in Javascript on your website & additional markup elements within content of your website will enable you great search & features like auto complete etc., for which you don't need to code.
What do you dislike about the product?
Pricing & Licensing had jump since it's been acquired by Elastic Search.
What problems is the product solving and how is that benefiting you?
Providing full site search with Free Text search on the website is made easy by Swiftype.
You don't need to write custom code to enable tracking, able to view the analytics of the search being done on the website & get insights into what your customers are looking onto your website.
You don't need to write custom code to enable tracking, able to view the analytics of the search being done on the website & get insights into what your customers are looking onto your website.
Recommendations to others considering the product:
Swiftype is a good product, but it is in EOL by 2023 as it is acquired by Elastic Search, so if you wish to continue work with Elastic Search, then it is an excellent product. Otherwise, there are alternatives like Algolia etc.,
Best platform for ElasticSearch Query and Analysis
What do you like best about the product?
The dev console is very good for writing queries and running them
What do you dislike about the product?
Error handling is not good, Like if I write a query and it throws an error messages are not clear
What problems is the product solving and how is that benefiting you?
We are storing eCommerce data in elastic search and we use kibana to run queries and analyze the data
Recommendations to others considering the product:
There are multiple ways of using kibana in data science field, read about them thoroghly
Great work
Hi, we have tried Elastic Cloud and feel very satisfied with it. I would like to inquire about.
Is there an internal channel to directly access our ec2 or k8s cluster on aws？
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
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.
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.
showing 171 - 180