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About

ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. ClickHouse's performance exceeds comparable column-oriented database management systems currently available on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. ClickHouse uses all available hardware to its full potential to process each query as fast as possible. Peak processing performance for a single query stands at more than 2 terabytes per second (after decompression, only used columns). In distributed setup reads are automatically balanced among healthy replicas to avoid increasing latency. ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. All nodes are equal, which allows avoiding having single points of failure.

About

MongoDB is a general purpose, document-based, distributed database built for modern application developers and for the cloud era. No database is more productive to use. Ship and iterate 3–5x faster with our flexible document data model and a unified query interface for any use case. Whether it’s your first customer or 20 million users around the world, meet your performance SLAs in any environment. Easily ensure high availability, protect data integrity, and meet the security and compliance standards for your mission-critical workloads. An integrated suite of cloud database services that allow you to address a wide variety of use cases, from transactional to analytical, from search to data visualizations. Launch secure mobile apps with native, edge-to-cloud sync and automatic conflict resolution. Run MongoDB anywhere, from your laptop to your data center.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies of all sizes

Audience

Application developers seeking a solution to create, build, deploy and run their cloud native apps

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 3.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 4.8 / 5
ease 4.7 / 5
features 4.7 / 5
design 4.7 / 5
support 4.9 / 5

Pros & Cons from Real Users

Pros

  • ClickHouse is really really fast. I can say that it is THE fastest I've came across. It has lots of native integration options S3, Kafka, SQLite, PostgreSQL and so on. Its SQL capabilities are top notch. And it is 100% free!

Cons

  • - Updates and deletes are eventual. - Hard to setup a cluster. - Does not have ACID.

Pros & Cons from Real Users

Pros

  • 1. The best feature of MongoDB is ease of use and easy to learn syntax. 2. It is scalable and perfect database for small and large application as well. 3. It can be easily connected with various tools through APIs. Not only that, but it provides of the best support among all databases because of the large community. 4. It has good support for many programming languages and framework integration.
  • - MongoDB has reading and writing speed faster than any typical SQL Database. - The user interface is clean and simple to use, also, the installing and set up of the application is pretty straightforward. - It is a highly scalable database, perfect for big projects and applications. - It supports easy and quick integration with many third-party applications. - The syntax used in the application is easy to learn and does not take up a lot of time in the process.
  • - MongoDB is a document based database which is compatible with both large and small scale application. - Operations like CRUD operation are fast and reliable, easy to use. - The learning curve for the application is quite low, any beginner can get used to the application in few days. - The community size of the application is quite large, which helps a lot when stuck with a problem with the application.
  • - MongoDB reads and writes data in real-time quite fast. - Connection can be made with any tool through the use of APIs. - It supports all the major programming languages and frameworks. - It is flexible to use and can be scalable. - The UI of the application is simple and intuitive.
  • The best part of using MongoDB as a database for any application is the reliability and ease of use. The application's user interface is crafted for simplicity and functionality. It has NoSQL architecture, which makes it preferable to migrate any project to this platform. Along with ease of usage, it is also a good platform for scalable applications.

Cons

  • 1. Usually, it takes up a lot more disk space than any other alternatives. 2. There are some security concerns which should be resolved for more trust building of the users.
  • - Using more than few relational data leads to the application becoming trick and complex to handle.
  • - It is a NoSQL, easy to use database, no cons in my usage.
  • - It is not a suitable database when it comes to writing complex queries. - Memory consumption is quite high.
  • There is some complexity initially in the set-up, but the community is quite helpful in resolving those issues.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

ClickHouse
Founded: 2021
United States
clickhouse.com

Company Information

MongoDB
Founded: 2007
United States
www.mongodb.com

Alternatives

Alternatives

RaimaDB

RaimaDB

Raima
CelerData Cloud

CelerData Cloud

CelerData
Azure Cosmos DB

Azure Cosmos DB

Microsoft

Categories

Categories

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Data Management Features

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

NoSQL Database Features

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

Integrations

Acryl Data
Airtool
Azure Marketplace
BI Book
DataGrip
DataHub
Elestio
Gravity Data
Grouparoo
IBM watsonx.data
Kestra
Latitude
PopSQL
Resmo
SayData
Streamkap
Timbr.ai
ToolJet
Wyn Enterprise
YepCode

Integrations

Acryl Data
Airtool
Azure Marketplace
BI Book
DataGrip
DataHub
Elestio
Gravity Data
Grouparoo
IBM watsonx.data
Kestra
Latitude
PopSQL
Resmo
SayData
Streamkap
Timbr.ai
ToolJet
Wyn Enterprise
YepCode
Claim ClickHouse and update features and information
Claim ClickHouse and update features and information
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