About

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. Amazon DocumentDB is a non-relational database service designed from the ground-up to give you the performance, scalability, and availability you need when operating mission-critical MongoDB workloads at scale. In Amazon DocumentDB, the storage and compute are decoupled, allowing each to scale independently, and you can increase the read capacity to millions of requests per second by adding up to 15 low latency read replicas in minutes, regardless of the size of your data. Amazon DocumentDB is designed for 99.99% availability and replicates six copies of your data across three AWS Availability Zones (AZs).

About

Let's face it, writing MongoDB validation, casting and business logic boilerplate is a drag. That's why we wrote Mongoose. Now say we like fuzzy kittens and want to record every kitten we ever meet in MongoDB. The first thing we need to do is include mongoose in our project and open a connection to the test database on our locally running instance of MongoDB. We have a pending connection to the test database running on localhost. We now need to get notified if we connect successfully or if a connection error occurs. Mongoose documents represent a one-to-one mapping to documents as stored in MongoDB. Each document is an instance of its Model. Subdocuments are documents embedded in other documents. In Mongoose, this means you can nest schemas in other schemas. Mongoose has two distinct notions of subdocuments: arrays of subdocuments and single nested subdocuments.

About

Intuitive interface and high performance of the desktop application save time for beginners and professional database developers and administrators. Full support of all the MongoDB, MongoDB Enterprise and Amazon DocumentDB databases makes your work hassle-free. Support of replica sets, standalone hosts and shared cluster connections. Autocompletion allows autocompleting the collection names and methods in MongoDB and Shell commands. As the text is typed into the Shell, the context of the cursor within the command provides an indication of whether the user needs a collection completion or a method completion. The collection completion provides a list of collections available in the current database. Easy document navigation, view and editing, limits to maximize performance, GUI editors for all MongoDB data types.

About

Enjoy the highest performance and unlimited possibilities when working with SQL Server. SQL Server Data Access Components (SDAC) is a library of components that provides native connectivity to SQL Server from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) for Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. SDAC-based applications connect to SQL Server directly through OLE DB, which is a native SQL Server interface. SDAC is designed to help programmers develop faster and cleaner SQL Server database applications. SDAC, a high-performance, and feature-rich SQL Server connectivity solution is a complete replacement for standard SQL Server connectivity solutions and presents an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to SQL Server. SDAC-based DB applications are easy to deploy, and do not require the installation of other data provider layers.

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

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

IT experts and developers looking for a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads

Audience

Developers searching for a Database Management platform

Audience

Developers looking for a Desktop GUI Client solution for MongoDB database management

Audience

Programmers in need of a tool to develop faster and cleaner SQL Server database applications

Support

Phone Support
24/7 Live Support
Online

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

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

$125 one-time payment
Free Version
Free Trial

Pricing

$199.95 per year
Free Version
Free Trial

Reviews/Ratings

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features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

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

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Review this Software

Reviews/Ratings

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

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Review this Software

Reviews/Ratings

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

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Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amazon
Founded: 1994
United States
aws.amazon.com

Company Information

Mongoose
United States
mongoosejs.com

Company Information

NoSQL Manager
www.mongodbmanager.com

Company Information

Devart
Founded: 1997
Czech Republic
www.devart.com/sdac/

Alternatives

Alternatives

Alternatives

Alternatives

Moon Modeler

Moon Modeler

Ideamerit
MonjaDB

MonjaDB

codecentric

Categories

Categories

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

Integrations

APISCRAPY
AWS Secrets Manager
Amazon EC2
Amazon OpenSearch Service
Apache Cassandra
Arcion
Argonaut
Artie
Azure SQL Database
Blindata
Dash
Delphi
Gravity Data
MongoDB
Moon Modeler
SQL Server
ShipFast
StarfishETL
Streamkap
Tonic Ephemeral

Integrations

APISCRAPY
AWS Secrets Manager
Amazon EC2
Amazon OpenSearch Service
Apache Cassandra
Arcion
Argonaut
Artie
Azure SQL Database
Blindata
Dash
Delphi
Gravity Data
MongoDB
Moon Modeler
SQL Server
ShipFast
StarfishETL
Streamkap
Tonic Ephemeral

Integrations

APISCRAPY
AWS Secrets Manager
Amazon EC2
Amazon OpenSearch Service
Apache Cassandra
Arcion
Argonaut
Artie
Azure SQL Database
Blindata
Dash
Delphi
Gravity Data
MongoDB
Moon Modeler
SQL Server
ShipFast
StarfishETL
Streamkap
Tonic Ephemeral

Integrations

APISCRAPY
AWS Secrets Manager
Amazon EC2
Amazon OpenSearch Service
Apache Cassandra
Arcion
Argonaut
Artie
Azure SQL Database
Blindata
Dash
Delphi
Gravity Data
MongoDB
Moon Modeler
SQL Server
ShipFast
StarfishETL
Streamkap
Tonic Ephemeral
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