Elasticsearch vs. MongoDB

Elasticsearch

208 Reviews and Ratings

MongoDB

437 Reviews and Ratings

Overview
Product	Rating	Most Used By	Product Summary	Starting Price
Elasticsearch	Score8.6 out of 10	N/A	Elasticsearch is an enterprise search tool from Elastic in Mountain View, California.	$16 per month
MongoDB	Score8.5 out of 10	N/A	MongoDB is an open source document-oriented database system. It is part of the NoSQL family of database systems. Instead of storing data in tables as is done in a "classical" relational database, MongoDB stores structured data as JSON-like documents with dynamic schemas (MongoDB calls the format BSON), making the integration of data in certain types of applications easier and faster.	$0.10 million reads

Pricing

Elasticsearch

MongoDB

Standard: $16.00
per month
Gold: $19.00
per month
Platinum: $22.00
per month
Enterprise: Contact Sales

Shared: $0
per month
Serverless: $0.10million reads
million reads
Dedicated: $57
per month

Pricing Offerings
Elasticsearch	MongoDB
Free Trial
No	Yes
Free/Freemium Version
No	Yes
Premium Consulting/Integration Services
No	No

No setup fee

No setup fee

—

Fully managed, global cloud database on AWS, Azure, and GCP

Community Pulse
Key User Insights
	Elasticsearch	MongoDB
Considered Both Products	Elastic Borislav Traykov DevOps Team Leader in Engineering at Cognyte (Information Technology & Services, 1001-5000 employees) Chose Elasticsearch Elasticsearch is the most well-known and supported free data platform that we identified. We are taking advantage of community knowledge and practices. In terms of flexibility and breadth of use cases no other competitor came close to Elasticsearch. We've tried Solr in the past … Incentivized Helpful? Anatoly Geyfman Founder & CEO in Information Technology at Carevoyance (Health, Wellness and Fitness, 1-10 employees) Chose Elasticsearch When we first evaluated Elasticsearch, we compared it with alternatives like traditional RDBMS products (Postgres, MySQL) as well as other noSQL solutions like Cassandra & MongoDB. For our use case, Elasticsearch delivered on two fronts. First, we got a world-class search … Incentivized Helpful? Verified User Chose Elasticsearch Other services, such as Alienvault or MongoDB, are not designed to integrate as well with parsing log data. Graphite was much more difficult to work into an usable product as it does not integrate as easily with log parsing plugins. Elasticsearch had the right features to … Incentivized Helpful? Yasmany Cubela Medina Development Team Lead in Information Technology at SPEERIT: The Ultimate Running Experience (Sports, 11-50 employees) Chose Elasticsearch Even when sphinx base code is on c++ and they obtain a great performance from it, even when they have a set of plugins that allow to integrate with common database systems like MySQL, Elasticsearch is on top of license and all their experience on search. It also provides a long … Incentivized Helpful? Keith Lubell Chief Technology Officer in Information Technology at Berkery, Noyes & Co., LLC (Financial Services, 51-200 employees) Chose Elasticsearch Elasticsearch and Solr are both based on Lucene, but the user community for Elasticsearch is much stronger, and setting up a cluster is easier. Splunk is very well suited for Log indexing and searching but is not nearly as flexible as Elasticsearch. Couchbase is a great NoSQL … Incentivized Helpful? Swastik Nath Data Scientist in Information Technology at Intelligent Retail Pvt. Ltd. (Retail, 51-200 employees) Chose Elasticsearch Search and analytics capabilities of Elasticsearch are superior to its competitors. Being open source, it is a cheaper and faster solution than other competitors. Installation is straightforward and it can be potentially deployed anywhere and everywhere! There is no need for … Incentivized Helpful? Gedson Silva Senior Production Engineer in Engineering at Carrilho Engineering (Telecommunications, 11-50 employees) Chose Elasticsearch Elasticsearch is much easier to set up and maintain. It provides better distributed architecture and fault tolerance, and is much faster searching. Incentivized Helpful? Verified User Chose Elasticsearch All database systems have things they are good at, and things they aren't as good at. Riak/SOLR is great as a K/V store, but SOLR cannot handle requests as fast as ElasticSearch. In fact, SOLR is the reason we had to migrate to ElasticSearch. Redis is great at SET operations … Incentivized Helpful? David Greenwell Team Lead Xactimate Online Xactware Solutions, Inc in Engineering at Verisk Insurance Solutions (Computer Software, 201-500 employees) Chose Elasticsearch The only other competitor we researched was mongo as some of our table information is stored in an XML file, but as we were doing searching we gravitated towards Elasticsearch. We knew mongo had some of the qualifications for what we wanted, but went with Elasticsearch for … Incentivized Helpful? Verified User Chose Elasticsearch We found Elasticsearch to be the fastest in querying text based data, allowing us to significantly speed up our APIs. Incentivized Helpful? Devaraj Natarajan Senior Software Engineer in Information Technology at Cisco Systems (Computer Networking, 10,001+ employees) Chose Elasticsearch Elasticsearch is DevOps friendly; it is easy for installation and management of a node/cluster. It is very friendly for developers by providing the REST API out of the box, reducing the development time. Incentivized Helpful? Verified User Chose Elasticsearch For our application, ElasticSearch fulfilled all the criteria we were looking for. Something that's easy to scale and flexible. I think ElasticSearch works better that Solr with modern real-time search applications. Also, ElasticSearch is easy to integrate with. ElasticSearch … Incentivized Helpful? Aaron Gussman Senior Technologist in Engineering at HumanGeo (Defense & Space, 51-200 employees) Chose Elasticsearch ElasticSearch was easier to scale and faster than Mongo. Incentivized Helpful?	MongoDB Jose Manuel Ortega Software Engineer && Security researcher in Research & Development at UA - Universidad de Alicante / Universitat d'Alacant (Computer Software, 51-200 employees) Chose MongoDB MongoDB is more of a general purpose nosql database, while Elasticsearch is a search engine oriented nosql solution. Percona Server for MongoDB is a more suitable solution for the enterprise field. Incentivized Helpful? Sagiv Frankel Senior Software Engineer in Engineering at Seebo (Internet, 11-50 employees) Chose MongoDB Your default choice should not be MongoDB in my opinion. Most user-facing systems are relational by nature so a well known and reliable SQL database would be easier to maintain and simpler to develop long term. If you highly value speed of development go with Firebase. If you … Incentivized Helpful? Rounak Jangir Ab Initio Developer in Research & Development at Tata Consultancy Services (Information Technology and Services, 10,001+ employees) Chose MongoDB MongoDB and Cassandra are both database system from the NoSQL family. MongoDB can be used in lots of use cases while Cassandra has a specific usage. There are some features that MongoDB provides efficiently while Cassandra doesn't and vice-versa. Like, you can update the data … Incentivized Helpful? Devaraj Natarajan Senior Software Engineer in Information Technology at Cisco Systems (Computer Networking, 10,001+ employees) Chose MongoDB The way MongoDB handles the data is unique and the indexing of data is powerful. Incentivized Helpful? Verified User Chose MongoDB Cassandra: may be better for bigger use cases, in PB range, due to our use cases being slightly smaller, we did not need this, but we highly rely on efficient indexing, and low latency, which seemed to be better based on our testing in Mongodb. Couchbase Server: Document … Incentivized Helpful?
	Would buy again
	No answers on this topic	No answers on this topic
	Delivers good value for the price
	No answers on this topic	No answers on this topic
	Happy with the feature set
	No answers on this topic	No answers on this topic
	Lived up to sales and marketing promises
	No answers on this topic	No answers on this topic
	Implementation went as expected
No answers on this topic	No answers on this topic

Features

Elasticsearch

MongoDB

Comparison of NoSQL Databases features of Elasticsearch and MongoDB
Feature	Elasticsearch - Ratings	MongoDB 10.0 39 Ratings
Performance	00 Ratings	10.039 Ratings
Availability	00 Ratings	10.039 Ratings
Concurrency	00 Ratings	10.039 Ratings
Security	00 Ratings	10.039 Ratings
Scalability	00 Ratings	10.039 Ratings
Data model flexibility	00 Ratings	10.039 Ratings
Deployment model flexibility	00 Ratings	10.038 Ratings

User Ratings
	Elasticsearch	MongoDB
Likelihood to Recommend	9.0 (48 ratings)	10.0 (79 ratings)
Likelihood to Renew	10.0 (1 ratings)	10.0 (67 ratings)
Usability	10.0 (1 ratings)	10.0 (15 ratings)
Availability	- (0 ratings)	9.0 (1 ratings)
Support Rating	7.8 (9 ratings)	9.6 (13 ratings)
Implementation Rating	9.0 (1 ratings)	8.4 (2 ratings)