Astrato

Astrato

Astrato Analytics
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About

Astrato Analytics is a warehouse-native business intelligence platform that allows organizations to build, embed, and share interactive dashboards and data applications directly on cloud data warehouses. It integrates with major platforms such as Snowflake, BigQuery, Databricks, ClickHouse, Supabase, Amazon Redshift, PostgreSQL, and Dremio. The platform uses a zero-copy architecture, enabling real-time data access without the need for data extraction or duplication. This approach ensures that dashboards and reports always reflect the most up-to-date information. Astrato connects through a live-query engine, allowing seamless interaction with source data. It eliminates the complexity of managing data pipelines or cached datasets. Security is enhanced by inheriting policies like row-level access and data masking directly from the warehouse. Overall, it simplifies analytics while maintaining strong governance and real-time insights.

About

DbVisualizer is a universal database client for anyone who works with data, from solo developers and startups to professional teams managing complex environments, including developers, DBAs, analysts, and data engineers working with relational and NoSQL databases. It offers a graphical interface for database development, SQL querying, and data exploration. Key features: - SQL editor with autocomplete, visual query builders, variables, and execution tools - AI Assistant for questions, error explanations, and code analysis - Built-in Git integration for SQL scripts and collaboration - Customizable layouts, key bindings, and UI themes - Favorite scripts and database objects for quick access - Configurable security settings for organizations Connects to popular databases via JDBC, including MySQL, PostgreSQL, SQL Server, Oracle, Snowflake, SQLite, Cassandra, and BigQuery. Runs on Windows, macOS, and Linux. 7 million downloads, Pro users in 150 countries.

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

Astrato is built for teams who have moved their data to a modern cloud warehouse — Snowflake, BigQuery, Databricks, ClickHouse, Supabase, Amazon Redshift, PostgreSQL, or Dremio — but are still running analytics on legacy BI tools that pre-date that shift. Primary users: Data and analytics teams modernizing off Tableau, Qlik, Power BI, or Domo who want to stop maintaining extracts, cubes, and refresh pipelines and run analytics directly on the warehouse. Product and engineering teams at SaaS companies embedding customer-facing analytics into their own applications, portals, or platforms — often replacing in-house dashboards they'd rather not keep building. Business users and domain experts (finance, operations, marketing, sales) who need to explore governed data, build reports, and submit updates back to the warehouse without waiting on the analyst queue. IT, security, and governance leaders who want analytics that inherit warehouse-level security (RLS, RBAC, SSO) instead of introducing a parallel permissions model. Best-fit organizations: SaaS and data businesses monetizing analytics as a product feature, or delivering client-facing reporting at scale. Mid-market and enterprise companies that have modernized their data stack and want BI that matches it. Agencies and data service providers building branded analytics experiences for their clients. Regulated industries (healthcare, financial services, public sector) that need data to stay in the warehouse for compliance reasons, backed by SOC 2 Type II, ISO 27001, HIPAA, and GDPR posture.

Audience

Developers, analysts and DBAs in need of a universal database tool solution to manage, edit and customize databases

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

No images available

Screenshots and Videos

Pricing

$12/month/user
Free Version
Free Trial

Pricing

Free
A DbVisualizer Pro license is perpetual - meaning that a one-time purchase at $199, will give the user perpetual access to all Pro versions of DbVisualizer released before the license expires.
To gain access to Pro versions released after a license expired a license renewal is offered. The renewal costs starts at $89/per year.
A volume discount is applied on all orders of 4+ licenses and the Pro license is offered for free to students and teachers.
Multi year terms are available and includes additional discounts.
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

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Reviews/Ratings

Overall 4.9 / 5
ease 4.8 / 5
features 4.8 / 5
design 4.6 / 5
support 4.7 / 5

Pros from Real Users

Pros

  • Very flexible. Came from a background a couple of years using Toad, but much prefer DB viz, and its a good price for such a comprehensive tool. I use with mysql, mariadb, postgres, mongo, clickhouse. Easy connection set up - good ssh tunnelling options etc. Good autocompletion in editor. Nice set of data export tools etc. Very stable, not had it crash on me even with dozens of sql editor tabs open.
  • Ease of use, support for many databases, intuitive, in grid editing. Settings export so I can easily move between laptop and desktop.
  • New features coming along the way each release. Company listen to customers support ticket on bug fix.
  • Ease of use and cross platform connections. I operate multiple database across windows and MacOS and DbVisualzer to manage all from the one platform
  • My favorite feature in DbVisualizer is Query Builder. Being able to drag and drop tables onto a canvas and visually join them together and the filter and choose the columns that I want to return from the query is a huge time savings for me
  • Easy to use and has many features. I have been using DBVisualizer for more than 7 years. I suggest to use the PRO version.
  • DBVisualizer is one of the most powerful and reliable database tools I have used. It supports a wide range of databases out of the box and provides a consistent, intuitive interface across all of them. The SQL editor is excellent, with strong auto-completion and performance even on large datasets. I especially appreciate the advanced features for query analysis, data visualization, and schema browsing. The tool is very stable, regularly updated, and works seamlessly across platforms. For professional use, it significantly improves productivity.
  • The visualization of table relationships is very easy to understand, as well as connecting to new databases and creating different projects within DBVisualizer.
  • DbVisualizer simplifies most aspects of DDL & DML by providing a simple, intuitive and user-friendly interface that just makes sense. The ability to connect to most databases, reach out to support that actually listens and helps are just the cherry on the top.
  • I have used DBVisualizer for more than 10 years. It has become an indispensable part of my daily workflow. It covers almost all known RDMBS and as long as you have a JDBC driver, you can use it. I also like that they continue to improve the user experience by adding new features to it.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Astrato Analytics
Founded: 2023
United Kingdom
www.astrato.io

Company Information

DbVisualizer
Founded: 2003
Sweden
www.dbvis.com

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Categories

Categories

Data Analysis Features

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

Data Visualization Features

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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

IDE Features

Code Completion
Compiler
Cross Platform Support
Debugger
Drag and Drop UI
Integrations and Plugins
Multi Language Support
Project Management
Text Editor / Code Editor

Integrations

Databricks
Google Cloud BigQuery
Snowflake
Amazon DynamoDB
Apache Cassandra
Apache Hive
Greenplum
H2
IBM Cloudant
IBM Db2
IBM Informix
IBM Netezza Performance Server
MariaDB
Microsoft Azure
MySQL Workbench
PHP
SAP IQ
SQL Server
Salesforce
SingleStore

Integrations

Databricks
Google Cloud BigQuery
Snowflake
Amazon DynamoDB
Apache Cassandra
Apache Hive
Greenplum
H2
IBM Cloudant
IBM Db2
IBM Informix
IBM Netezza Performance Server
MariaDB
Microsoft Azure
MySQL Workbench
PHP
SAP IQ
SQL Server
Salesforce
SingleStore
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