SQL Server

SQL Server

Microsoft
MyDataModels TADA

MyDataModels TADA

MyDataModels
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About

Fully managed relational database service for MySQL, PostgreSQL, and SQL Server with rich extension collections, configuration flags, and developer ecosystems. New customers get $300 in free credits to spend on Cloud SQL. You won’t be charged until you upgrade. Reduce maintenance costs with fully managed MySQL, PostgreSQL and SQL Server databases. Ensure business continuity with reliable and secure services backed by 24/7 SRE team. Data encryption at rest and in transit. Private connectivity with Virtual Private Cloud and user-controlled network access with firewall protection. Compliant with SSAE 16, ISO 27001, PCI DSS, and HIPAA. Scale your instances effortlessly with a single API call whether you start with simple testing or you need a highly available database in production. Simplify database operations with AI-powered assistance in Gemini, now in preview on Cloud SQL. It streamlines development, performance optimization, fleet management, governance, and migration.

About

Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.

About

Deploy best-in-class predictive analytics models TADA by MyDataModels helps professionals use their Small Data to enhance their business with a light, easy-to-set-up tool. TADA provides a predictive modeling solution leading to fast and usable results. Shift from days to a few hours into building ad hoc effective models with our 40% reduced time automated data preparation. Get outcomes from your data without programming or machine learning skills. Optimize your time with explainable and understandable models made of easy-to-read formulas. Turn your data into insights in a snap on any platform and create effective automated models. TADA removes the complexity of building predictive models by automating the generative machine learning process – data in, model out. Build and run machine learning models on any devices and platforms through our powerful web-based pre-processing features.

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

Developers and IT companies interested in a powerful managed service that supports automated provisioning of PostgreSQL, SQL, and MySQL relational databases. Part of the Google Cloud Platform

Audience

Any business and organization seeking a solution to manage their cloud operations

Audience

Organizations interested in an AI-powered analytics platform

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

Free ($300 in free credits)
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Pricing

$5347.46 per year
Free Version
Free Trial

Reviews/Ratings

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

Reviews/Ratings

Overall 4.5 / 5
ease 4.5 / 5
features 4.5 / 5
design 5.0 / 5
support 4.5 / 5

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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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
cloud.google.com/sql

Company Information

Microsoft
Founded: 1975
United States
www.microsoft.com/en-us/sql-server/

Company Information

MyDataModels
Founded: 2018
France
www.mydatamodels.com

Alternatives

Alternatives

Alternatives

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RapidMiner

Altair
InterBase

InterBase

Embarcadero
Apache HBase

Apache HBase

The Apache Software Foundation
TiMi

TiMi

TIMi
Amazon RDS

Amazon RDS

Amazon
RaimaDB

RaimaDB

Raima
JMP Statistical Software

JMP Statistical Software

JMP Statistical Discovery

Categories

Google Cloud SQL is a fully-managed database service that simplifies the process of setting up, maintaining, and scaling databases in the cloud. It provides automated backups, patches, and performance optimizations, reducing the burden on database administrators. Users can easily manage their database workloads without worrying about hardware or software maintenance. Google Cloud SQL supports several database engines, including MySQL, PostgreSQL, and SQL Server. New customers also receive $300 in free credits to try Google Cloud SQL, allowing them to explore the service and assess its benefits for their business needs.

Google Cloud SQL is a fully-managed Database as a Service (DBaaS) that allows businesses to leverage the power of relational databases without the hassle of managing infrastructure. It provides automatic backups, updates, and scaling, ensuring a smooth and reliable experience for users. Google Cloud SQL’s DBaaS model helps organizations reduce operational overhead while ensuring high availability and performance. This solution supports multiple database engines such as MySQL, PostgreSQL, and SQL Server. New customers get $300 in free credits to try Google Cloud SQL, making it easy to assess the service's potential without any initial investment.

Google Cloud SQL is an advanced Database Management System (DBMS) that takes care of crucial tasks such as database provisioning, patching, scaling, and security updates. This fully-managed service eliminates the need for users to handle manual maintenance or database optimization, ensuring high performance and reliability. With Cloud SQL, businesses can run their database workloads with minimal downtime and maximum efficiency. It supports popular DBMS engines, including MySQL, PostgreSQL, and SQL Server, providing a flexible solution for diverse use cases. New customers receive $300 in free credits to explore the service and experience the ease of DBMS management in the cloud.

Google Cloud SQL provides an ideal platform for running Relational Database Management Systems (RDBMS) in the cloud. It offers fully-managed MySQL, PostgreSQL, and SQL Server databases, taking care of database maintenance tasks like patching, backups, and scaling. This allows users to focus on building their applications instead of managing complex database operations. Cloud SQL ensures high availability and strong performance for relational databases with automatic replication and failover. Additionally, new customers receive $300 in free credits to explore Google Cloud SQL and evaluate its capabilities for their RDBMS needs.

Google Cloud SQL offers a managed service for running Relational Databases, allowing businesses to store and manage structured data using relational models. It provides high availability, automatic backups, and seamless scaling, ensuring that relational databases like MySQL, PostgreSQL, and SQL Server can perform optimally without manual intervention. Cloud SQL automates many tasks traditionally handled by database administrators, including patching and updating. With its ease of use and reliability, it’s an excellent choice for users looking for cloud-based relational databases. New customers can also take advantage of $300 in free credits to try Google Cloud SQL and see how it fits their relational database requirements.

Google Cloud SQL offers a fully-managed service for SQL databases, supporting MySQL, PostgreSQL, and SQL Server. It simplifies database administration by automating backup management, scaling, and security patches, allowing users to focus on their applications instead of infrastructure. With Google Cloud SQL, users can achieve high performance and reliability for SQL-based workloads with minimal effort. This service supports complex queries and data relationships, making it a great option for organizations that need robust SQL database solutions in the cloud. New customers also get $300 in free credits to explore and try Google Cloud SQL, helping them evaluate the service for their SQL database needs.

Google Cloud SQL provides a fully-managed solution for running SQL Server databases in the cloud, offering an easy way to host and manage enterprise-grade SQL workloads. It takes care of critical tasks like automated backups, patches, and updates, ensuring a secure and high-performance environment for SQL Server databases. Cloud SQL also allows users to scale their SQL Server databases based on demand, offering flexibility without the need for manual management. It supports all versions of SQL Server, from standard to enterprise editions, providing a powerful and cost-effective solution. New customers receive $300 in free credits to explore SQL Server on Google Cloud SQL and see how it fits their needs.

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

RDBMS Features

Backup
Data Migration
Monitoring
Performance Analysis
Queries
Storage Optimization

Relational Database Features

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

SQL Server Features

CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

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

Relational Database Features

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

SQL Server Features

CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring

Data Analysis Features

Data Discovery
Data Visualization
High Volume Processing
Predictive Analytics
Regression Analysis
Sentiment Analysis
Statistical Modeling
Text Analytics

Data Mining Features

Data Extraction
Data Visualization
Fraud Detection
Linked Data Management
Machine Learning
Predictive Modeling
Semantic Search
Statistical Analysis
Text Mining

Machine Learning Features

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Statistical / Mathematical Tools
Templates
Visualization

Predictive Analytics Features

AI / Machine Learning
Benchmarking
Data Blending
Data Mining
Demand Forecasting
For Education
For Healthcare
Modeling & Simulation
Sentiment Analysis

Integrations

Adverity
Airtool
Blindata
COZYROC SSIS+ Suite
Cleo Integration Cloud
CyberQube
DataBuck
Explo
Geeksnerds SQL Recovery
Gemini 2.0
Hue
Keebo
Kleene
Privacybunker
Quorso
Redgate SQL Data Generator
SmartScrapers
TeamStation
Trend Micro ServerProtect

Integrations

Adverity
Airtool
Blindata
COZYROC SSIS+ Suite
Cleo Integration Cloud
CyberQube
DataBuck
Explo
Geeksnerds SQL Recovery
Gemini 2.0
Hue
Keebo
Kleene
Privacybunker
Quorso
Redgate SQL Data Generator
SmartScrapers
TeamStation
Trend Micro ServerProtect

Integrations

Adverity
Airtool
Blindata
COZYROC SSIS+ Suite
Cleo Integration Cloud
CyberQube
DataBuck
Explo
Geeksnerds SQL Recovery
Gemini 2.0
Hue
Keebo
Kleene
Privacybunker
Quorso
Redgate SQL Data Generator
SmartScrapers
TeamStation
Trend Micro ServerProtect
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Claim SQL Server and update features and information
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