Compare Elasticsearch and MongoDB 
Featured Products
At a Glance
Market Segments
Mid-Market (37.3% of reviews)
Small-Business (38.1% of reviews)
Entry-Level Pricing
Pay As You Go Per Month
No pricing available
Elasticsearch
Star Rating
(283)4.5 out of 5
Market Segments
Mid-Market (37.3% of reviews)
Pros & Cons
Entry-Level Pricing
Pay As You Go Per Month
Free Trial is available
Browse all 3 pricing plansMongoDB
Star Rating
(550)4.5 out of 5
Market Segments
Small-Business (38.1% of reviews)
Pros & Cons
Entry-Level Pricing
No pricing available
Learn more about MongoDBSummary
AI Generated Summary
AI-generated. Powered by real user reviews.
- G2 reviewers report that MongoDB excels in flexibility, particularly for developers who appreciate its bson type structure and support for document nesting. Users highlight how this architecture simplifies data handling and enables robust aggregations, making it a strong choice for real-time data applications.
- Users say Elasticsearch stands out for its powerful query capabilities, especially with its Query DSL. Reviewers praise its ability to perform complex text queries and integrate seamlessly with APIs, which enhances scalability and maintenance, making it ideal for businesses with evolving needs.
- According to verified reviews, MongoDB has a higher overall satisfaction score, reflecting its strong performance in user experience and support. Users appreciate the ease of finding JSON data with Python libraries, which simplifies data export and encryption processes.
- Reviewers mention that Elasticsearch's hosted solution allows for quick launches and straightforward integration with existing tech stacks. This reliability from the start is a significant advantage for teams looking to implement features rapidly without extensive setup.
- G2 reviewers highlight that while both products offer solid support, Elasticsearch receives slightly higher marks for being a good business partner. Users feel that it consistently meets their needs, which is crucial for long-term projects and partnerships.
- Users report that MongoDB's ease of use is a strong point, particularly for those new to database management. However, some users note that Elasticsearch's setup process is slightly more intuitive, which can be beneficial for teams looking to minimize onboarding time.
Pricing
Entry-Level Pricing
Elasticsearch
Elastic Cloud Serverless
Pay As You Go
Per Month
A fully automated, usage-based "Search AI" platform. Ideal for variable workloads where compute scales independently from storage, requiring zero capacity planning or infrastructure management.
- No-ops management: Elastic handles all upgrades and scaling
- Decoupled compute and storage scaling
- Specialized VCUs for Ingest, Search, and Machine Learning
MongoDB
No pricing availableFree Trial
Elasticsearch
Free Trial is available
MongoDB
No trial information availableRatings
Meets Requirements
8.9
256
8.8
426
Ease of Use
8.4
260
8.6
427
Ease of Setup
8.4
180
8.4
200
Ease of Admin
8.6
153
8.1
179
Quality of Support
8.6
229
8.5
371
Has the product been a good partner in doing business?
8.9
142
8.5
159
Product Direction (% positive)
9.0
256
9.1
408
Features by Category
Content Management
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Content Discovery
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Generative AI
Not enough data
Not enough data
Not enough data
Not enough data
Compatibility
8.7
92
Not enough data
8.6
86
Not enough data
8.1
87
Not enough data
Agentic AI - Enterprise Search Software
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Search Queries
8.4
94
Not enough data
8.6
90
Not enough data
8.4
85
Not enough data
8.7
87
Not enough data
8.2
86
Not enough data
AI powered search - Enterprise Search Software
8.5
18
Not enough data
8.6
19
Not enough data
8.5
20
Not enough data
Functionality
8.3
87
Not enough data
8.9
91
Not enough data
8.8
96
Not enough data
Compatibility - Enterprise Search Software
8.8
18
Not enough data
8.8
20
Not enough data
8.6
18
Not enough data
Functionality - Enterprise Search Software
8.6
18
Not enough data
8.9
21
Not enough data
8.8
28
Not enough data
Search Queries - Enterprise Search Software
8.9
19
Not enough data
8.9
20
Not enough data
8.7
20
Not enough data
9.0
18
Not enough data
Data Management
9.5
28
8.9
98
9.1
25
8.9
93
9.7
26
8.5
85
7.8
25
8.5
82
Availability
8.8
26
8.2
79
8.9
27
8.3
81
8.7
25
8.7
82
Performance
8.8
24
8.6
88
Security
9.0
26
8.4
84
9.2
26
8.7
88
8.7
25
8.5
82
8.9
25
8.6
81
Support
9.0
26
8.6
81
8.9
25
8.9
83
7.8
23
7.9
68
Data Indexing
8.1
14
Not enough data
9.2
15
Not enough data
Filters
9.4
13
Not enough data
9.0
14
Not enough data
Scalability and Performance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Cost and Efficiency - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Integration and Extensibility - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Security and Compliance - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Usability and Support - Generative AI Infrastructure
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - AWS Marketplace
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Agentic AI - Site Search
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Feature Not Available
Not enough data
Search Experience Management - Site Search
8.5
16
Not enough data
8.2
17
Not enough data
7.9
16
Not enough data
7.2
16
Not enough data
8.3
16
Not enough data
6.9
16
Not enough data
Functionality - Site Search
7.8
16
Not enough data
8.0
16
Not enough data
7.8
16
Not enough data
7.1
16
Not enough data
Generative AI - Site Search
6.1
16
Not enough data
6.3
16
Not enough data
AI Search & Retrieval Infrastructure PlatformsHide 17 FeaturesShow 17 Features
Not enough data
Not enough data
Retrieval intelligence - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Embedding & model management - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
LLM retrieval & RAG optimization - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Enrichment & Index Intelligence - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Security & governance - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Operations, observability & reliability - AI Search & Retrieval Infrastructure Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Semantic Search & Query Understanding - AI Search and Discovery Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Data Indexing - AI Search and Discovery Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Search Result Relevance - AI Search and Discovery Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Personalization & Recommendations - AI Search and Discovery Platforms
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Database Features
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Not enough data
Categories
Categories
Shared Categories
Elasticsearch and MongoDB are categorized as Document Databases
Unique Categories
Elasticsearch is categorized as Site Search Software, Generative AI Infrastructure, Vector Database, Insight Engines, Enterprise Search Software, AI Search and Discovery Platforms, and AI Search & Retrieval Infrastructure Platforms
MongoDB is categorized as AWS Marketplace
Reviews
Reviewers' Company Size
Elasticsearch
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
MongoDB
Small-Business(50 or fewer emp.)
Mid-Market(51-1000 emp.)
Enterprise(> 1000 emp.)
Small-Business
(50 or fewer emp.)
Mid-Market
(51-1000 emp.)
Enterprise
(> 1000 emp.)
Reviewers' Industry
Information Technology and Services
15.8%
Computer Software
15.1%
Financial Services
7.2%
Telecommunications
6.1%
Internet
5.0%
Other
50.9%
Computer Software
22.8%
Information Technology and Services
21.1%
Internet
5.1%
Financial Services
3.9%
Education Management
2.9%
Other
44.2%
Discussions
Elasticsearch has no discussions with answers
What is MongoDB used for?
3 Comments
VK
MongoDB is a NoSQL database, that works on concepts of documents, and collections rather than tables and relations. Read more
How to make MongoDB to accept joins
2 Comments
AZ
As MongoDB is a document oriented Database. So data is distributed across different nodes and in order to apply joins, a data should be collected on a...Read more
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