MySQL

MySQL

Oracle
+

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About

Processing and storing tabular datasets, e.g. from CSV or Parquet files. Large result set transfer to client. Large client/server installations for centralized enterprise data warehousing. Writing to a single database from multiple concurrent processes. DuckDB is a relational database management system (RDBMS). That means it is a system for managing data stored in relations. A relation is essentially a mathematical term for a table. Each table is a named collection of rows. Each row of a given table has the same set of named columns, and each column is of a specific data type. Tables themselves are stored inside schemas, and a collection of schemas constitutes the entire database that you can access.

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.

About

MySQL is the world's most popular open source database. With its proven performance, reliability, and ease-of-use, MySQL has become the leading database choice for web-based applications, used by high profile web properties including Facebook, Twitter, YouTube, and all five of the top five websites*. Additionally, it is an extremely popular choice as embedded database, distributed by thousands of ISVs and OEMs.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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

Database management system for IT teams

Audience

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

Audience

Any business and organization looking for a powerful Relational Database solution

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

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

Reviews/Ratings

Overall 4.8 / 5
ease 4.5 / 5
features 4.8 / 5
design 4.7 / 5
support 4.7 / 5

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

DuckDB
duckdb.org

Company Information

MongoDB
Founded: 2007
United States
www.mongodb.com

Company Information

Oracle
Founded: 1977
United States
www.mysql.com

Alternatives

Apache DataFusion

Apache DataFusion

Apache Software Foundation

Alternatives

Alternatives

Apache Drill

Apache Drill

The Apache Software Foundation
Apache Iceberg

Apache Iceberg

Apache Software Foundation
RaimaDB

RaimaDB

Raima
Azure Cosmos DB

Azure Cosmos DB

Microsoft
RaimaDB

RaimaDB

Raima

Categories

Categories

Categories

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

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

NoSQL Database Features

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

Relational Database Features

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

Integrations

DbGate
DbVisualizer
Kestra
Streamkap
Supaboard
AlternC
Amazon DocumentDB
Cleo Integration Cloud
Corner Bowl Server Manager
Cyera
Logit.io
MyStyle Platform
Opal
Open as App
Orbox
ProFreeHost
SQLyog
SkySQL
Yuan Jhen DevOps PaaS
hosttech

Integrations

DbGate
DbVisualizer
Kestra
Streamkap
Supaboard
AlternC
Amazon DocumentDB
Cleo Integration Cloud
Corner Bowl Server Manager
Cyera
Logit.io
MyStyle Platform
Opal
Open as App
Orbox
ProFreeHost
SQLyog
SkySQL
Yuan Jhen DevOps PaaS
hosttech

Integrations

DbGate
DbVisualizer
Kestra
Streamkap
Supaboard
AlternC
Amazon DocumentDB
Cleo Integration Cloud
Corner Bowl Server Manager
Cyera
Logit.io
MyStyle Platform
Opal
Open as App
Orbox
ProFreeHost
SQLyog
SkySQL
Yuan Jhen DevOps PaaS
hosttech
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