Compare SqlDBM vs Querona vs Gamaya

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Crozscore:

78%
what is this?
32%
interest rising

Crozscore:

49%
what is this?
24%
interest falling

Crozscore:

67%
what is this?
38%
interest falling
SqlDBM screenshot Querona screenshot Gamaya screenshot

Software Description:

SqlDBM offers you an easy way to create an ERD of your database. We have developed this tool after finding a huge gap in the market for not having good DB design tools that not expensive or user-friendly.

SqlDBM has been widely accepted by the software community because of:

  • Free, Modern UI, and very intuitive
  • Online, no installations, no passwords, and all major browser support
  • Reverse and Forward engineering
  • It helps to quickly uncover the deficiencies of any database
  • Helps to confirm all basic rules are relational databases are applied (for example normal forms)
  • Available in both dark and light themes
  • Currently supporting MS-SQL, but soon launching support of MySQL

Software Description:

We make BI & Big Data analytics work easier and faster. Our goal is to empower business users and make always-busy business and heavily loaded BI specialists less dependent on each other when solving data-driven business problems.

If you have ever experienced a lack of data you needed, time to consuming report generation or long queue to your BI expert, consider Querona.

Software Description:

We develop crop and region-specific products to address particular efficiency bottlenecks defined by our customers. From the technological capability standpoint, we are the only company that can reliably connect a single-plant level analysis with large-scale analytics encompassing billions of plants on a scale of millions of hectares.

Our products include planting efficiency, detection of weeds, yield forecasting, detection of crop varieties, etc.

Gamaya combines patented hyperspectral imaging technology with artificial intelligence algorithms to deliver in-depth analyses of agriculture farms on the basis of satellite & drone data. This helps to substantially decrease fertiliser and chemical usage in sugarcane farms and decrease disease and weed related losses, thereby improving the farmer’s profit margins by 10-20%.

Features:

Features:

  • External Integrations
  • Forecasting
  • Data Import
  • Project Management
  • Customer Management
  • Analytics
  • Dashboard
  • Data Export
  • Multi-User
  • Data Visualization

Features:

  • Data Mining
  • API
  • Data Visualization
  • Forecasting
  • Analytics

Summary:

  • Database Design and Modeling

Summary:

    No key features associated with this application.

Summary:

    No key features associated with this application.

FAQs:

    What are some applications this service is commonly used in tandem with?
  • MS SQL Server and MySQL.

  • Who are the main user groups of this service?
  • SQL Developers, BI Developers, and Database Designers.

  • What is this service generally used for?
  • Database Design.

FAQs:

    Does this service offer guides, tutorials and or customer support?
  • Build-in user manual, customer support, training by the vendor.

  • Does this service offer multi-user capability (e.g. teams)?
  • Advanced rights management is supported: users, roles, 50 types of access rights at assigned at 5 levels.

  • Does this service offer an API?
  • Querona is fully Microsoft SQL Server wire compatible and exposes a byte compatible SQL Server protocol "Tabular Data Stream".

  • Does this service integrate with any other apps?
  • Apache Spark, Hadoop, cloud data warehouses (SQL Server, Amazon RedShift). Additionally all SQL-based relational databases like SQL Server, MySQL, Postgresql, Oracle, Teradata, SAP HANA, IBM DB2 and also around 100 of other data sources in the area of CRM, ERP, social media, marketing automation and REST services.

  • What are some applications this service is commonly used in tandem with?
  • Business Intelligence tools (Power BI, Tableau, etc.) or AI platforms that need data.

  • What platforms does this service support?
  • Windows Server, Apache Spark.

  • What is this service generally used for?
  • Logical Data Warehouse that creates a single view of all data sources for analytics, reporting and data science. The platform reduces 75% of time and effort of building a regular data warehouse by offering an ETL-free data access experience and a full data management self-service.

  • Who are the main user groups of this service?
  • BI specialist, data warehouse specialists, data scientists.

FAQs:

    No FAQs associated with this application.

Publisher:

Founded:
-
Based in:
San Diego
Employees:
2-10
Likes:
9.97k
Followers:

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
Followers:

Publisher:

Founded:
-
Based in:
-
Employees:
-
Likes:
818
Followers:
1.11k

Other:

Who uses SqlDBM
  • Personal
  • Freelance
  • Startups
  • SMEs
  • Agencies
  • Enterprises
Desktop Platforms:
  • Windows
Languages:
English
Regional Restrictions:
No restrictions.

Other:

Who uses Querona
  • Personal
  • Freelance
  • Startups
  • SMEs
  • Agencies
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English, Polish
Regional Restrictions:
No restrictions.

Other:

Who uses Gamaya
  • Startups
  • SMEs
  • Enterprises
Desktop Platforms:
  • Web App
Languages:
English
Regional Restrictions:
No restrictions.
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