About
Amazon DynamoDB is a key-value and document database that delivers single-digit millisecond performance at any scale. It's a fully managed, multi-region, Multimaster, durable database with built-in security, backup and restore, and in-memory caching for internet-scale applications. DynamoDB can handle more than 10 trillion requests per day and can support peaks of more than 20 million requests per second. Many of the world's fastest-growing businesses such as Lyft, Airbnb, and Redfin as well as enterprises such as Samsung, Toyota, and Capital One depend on the scale and performance of DynamoDB to support their mission-critical workloads. Focus on driving innovation with no operational overhead. Build out your game platform with player data, session history, and leaderboards for millions of concurrent users. Use design patterns for deploying shopping carts, workflow engines, inventory tracking, and customer profiles. DynamoDB supports high-traffic, extreme-scaled events.
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About
Use Apache HBase™ when you need random, realtime read/write access to your Big Data. This project's goal is the hosting of very large tables -- billions of rows X millions of columns -- atop clusters of commodity hardware. Automatic failover support between RegionServers. Easy to use Java API for client access. Thrift gateway and a REST-ful Web service that supports XML, Protobuf, and binary data encoding options. Support for exporting metrics via the Hadoop metrics subsystem to files or Ganglia; or via JMX.
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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.
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About
Generate SQL with AI in seconds. Turn your thoughts into complex SQL queries using natural language.
Text2SQL.AI uses theOpenAI GPT-3 Codexmodel which can translate English prompts to SQL queries, and SQL queries to English text. It is currently the most advanced Natural Language Processing tool available, and this is the exact same model which used by Github Copilot.
The app currently supports:
SQL generation from English textual instructions. Supports SELECT, UPDATE, DELETE queries, CREATE and ALTER TABLE requests, constraints, window functions, and literally everything!
SQL query explanation to plain English
Your custom database schema (tables, fields, types) connection (with history)
SQL dialects for MySQL, PostgreSQL, Snowflake, BigQuery, MS SQL Server...
If you have any other feature request, please let us know.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Companies searching for a database service for single-digit millisecond performance at any scale
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Audience
Application Developers looking for an advanced Columnar Databases solution
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Audience
Any business and organization looking for a powerful Relational Database solution
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Audience
Users that need an AI SQL query tool
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
No information available.
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/dynamodb/
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Company InformationThe Apache Software Foundation
Founded: 1999
United States
hbase.apache.org
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Company InformationOracle
Founded: 1977
United States
www.mysql.com
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Company InformationText2SQL.AI
www.text2sql.ai/
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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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
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NoSQL Database Features
Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management
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Relational Database Features
ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support
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Integrations
Abstra
Apache Superset
Apache Zeppelin
Chatstack
CorralData
DBmarlin
Dianahost
GlazeGPT
Invenis
Lumi AI
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Integrations
Abstra
Apache Superset
Apache Zeppelin
Chatstack
CorralData
DBmarlin
Dianahost
GlazeGPT
Invenis
Lumi AI
|
Integrations
Abstra
Apache Superset
Apache Zeppelin
Chatstack
CorralData
DBmarlin
Dianahost
GlazeGPT
Invenis
Lumi AI
|
Integrations
Abstra
Apache Superset
Apache Zeppelin
Chatstack
CorralData
DBmarlin
Dianahost
GlazeGPT
Invenis
Lumi AI
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