Astrato vs. dataFactory Comparison


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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. 552 Ratings Visit Website AnalyticsCreator AnalyticsCreator is a metadata-driven data warehouse automation application for teams working in the Microsoft data ecosystem. It enables data engineers to design, generate, and maintain production-ready data products across Microsoft SQL Server, Azure Data Factory, and Microsoft Fabric. By using centralized metadata, AnalyticsCreator generates ELT pipelines, dimensional models, historization logic, and analytical models in a consistent, version-controlled way. This reduces manual implementation effort and tool sprawl while ensuring transparency through built-in lineage tracking and clear visibility into data dependencies and change impact. With CI/CD integration via Azure DevOps and GitHub, plus support for custom SQL, AnalyticsCreator helps data teams scale delivery, enforce standards, and maintain control as complexity grows. 46 Ratings Visit Website ShipHero ShipHero’s Warehouse Management System simplifies eCommerce picking, packing and shipping. Our cloud-based WMS is perfect for emerging, scaling and high volume brands. Instead of holding you back, ShipHero can push your eCommerce business forward with the technology and processes you need to run a successful warehouse. 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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 Cut out all the manual processes, sources of errors, and wasted time. Don’t re-engineer your data warehouse every time a business change occurs. Apply automatic quality checks inter and intra-sources, and take action quickly when needed. That’s crucial for hundreds of data consumers. Trust really your data now. Build your “gold record” referential so the business teams have always the freshest data possible. One single version of the truth, available anywhere, anytime. Build an intermediate model that structures, stores, and historicizes your data independently of their uses. Answer fast to changing sources and business requests. From raw data to any system, connect all your sources easily as for the first one (datalake, operational systems, excels, relational database, legacy tools, etc. Store, historicize, and improve data quality to facilitate data warehouse automation. Data is structured, enriched, and documented to be available in datasets (information marts).
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 Organizations in need of a tool to turn raw data from multiple sources into qualitative information for effective decision making
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 View more images or videos
Pricing $12/month/user Free Version Free Trial	Pricing No information available. 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 This software hasn't been reviewed yet. Be the first to provide a review: 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 This software hasn't been reviewed yet. Be the first to provide a review: Review this Software
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 dFakto Founded: 2000 Belgium www.dfakto.com/datafaktory-data-warehouse-automation/
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Categories Business Intelligence	Categories Data Management

Integrations Databricks Google Cloud BigQuery Google Sheets Microsoft Excel Microsoft Power BI Qlik Data Integration Snowflake Tableau Toucan View All 3 Integrations	Integrations Databricks Google Cloud BigQuery Google Sheets Microsoft Excel Microsoft Power BI Qlik Data Integration Snowflake Tableau Toucan View All 6 Integrations
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