Connecting Orbit Analytics to Your Data, Wherever It Lives

Quality checks you can rely on

Oracle Autonomous Data Warehouse is built for organizations that need enterprise reliability and performance. The “autonomous” part means the database handles routine maintenance, security patches, and performance optimization automatically. When you add Orbit Analytics to the mix, you get an analytics solution that’s both powerful and remarkably easy to use.

What You Can Do:

✔ Tap into Oracle’s self-managing database without needing database expertise—no DBAs required for day-to-day analytics

✔ Run complex analyses faster with Oracle’s built-in optimizations that automatically tune themselves based on your query patterns

✔ Enjoy reliable performance without worrying about database tuning, indexing strategies, or maintenance windows

✔ Connect to decades of Oracle expertise in handling mission-critical enterprise data

✔ Use advanced analytics and machine learning features directly through Orbit’s interface, making sophisticated analysis accessible to business users

✔ Integrate with your existing Oracle ecosystem if you’re already using other Oracle products

Why This Matters

Many large enterprises have chosen Oracle for their most critical data because of its proven reliability and comprehensive security features. The Autonomous Data Warehouse brings all that enterprise-grade capability to the cloud while eliminating much of the administrative burden. Orbit makes this powerful platform accessible to business analysts and decision-makers who need insights but don’t want to become database experts.

Unlock the Power of Your Data Lakehouse

With Orbit Analytics and Databricks, you get the best of both worlds: the flexibility of a data lake and the performance of a data warehouse. Our integration means you can analyze all your data in one place, from raw files to structured tables.

Databricks is known for handling diverse data types and massive scale, and Orbit makes that power accessible to everyone on your team—not just data engineers. Whether you’re working with customer data, IoT sensor readings, log files, or traditional business metrics, you can query and visualize everything through Orbit’s intuitive interface.

What You Can Do:

✔ Access all your data stored in Databricks without any complicated setup or data duplication

✔ Run fast queries on datasets containing billions of rows while Databricks handles the computational heavy lifting

✔ Keep your existing security and permissions intact—Orbit respects who can see what, ensuring data governance stays in place

✔ Work with both your historical data archives and real-time streaming information in the same analysis

✔ Leverage Databricks’ Delta Lake technology for reliable, consistent data access

✔ Collaborate with data science teams who might be building machine learning models on the same data

Why This Matters

Many organizations choose Databricks because it can handle any data format and scale to any size. With Orbit’s integration, business users can access this powerful infrastructure without needing to understand the technical complexities. Your data team sets up the connection once, and everyone can start analyzing immediately.

Your Data Cloud, Supercharged with Analytics

Snowflake’s cloud data platform combined with Orbit Analytics gives you instant access to powerful insights. Whether you’re analyzing sales trends, customer behavior, or operational metrics, everything happens in real-time.

Snowflake is designed from the ground up for the cloud, which means it can handle workloads from multiple teams simultaneously without slowing down. When you connect Orbit to Snowflake, you’re tapping into a platform that automatically optimizes itself for the questions you’re asking. You don’t need to worry about database maintenance, performance tuning, or capacity planning, it all happens automatically.

What You Can Do:

✔ Connect to your Snowflake data in minutes, not days—no special software installation required

✔ Analyze data across different cloud providers (AWS, Azure, or Google Cloud) without worrying about where it’s physically stored

✔ Scale your analysis up or down based on what you need—complex queries get more power automatically, and you’re not paying for idle resources

✔ Access historical snapshots of your data to track changes over time, perfect for compliance reporting or understanding how your business has evolved

✔ Share insights with colleagues who can run their own queries without impacting your work

✔ Work with structured business data alongside semi-structured data like JSON logs or XML files

Why This Matters

Snowflake’s unique architecture means that ten people running intensive analyses won’t slow each other down. This is especially valuable for growing teams where more people need data access. With Orbit’s integration, you can democratize data access across your organization without worrying about performance bottlenecks or complex resource management.

AWS-Native Analytics at Scale

For organizations using Amazon Web Services, our Redshift integration brings analytics power to your AWS data warehouse. Analyze massive amounts of data quickly and easily, right where it lives in your AWS environment.

Amazon Redshift is purpose-built for analytics workloads, using a columnar storage format that makes it incredibly efficient for the types of queries business users run every day. If your organization is already on AWS, Redshift integration means your data never needs to leave your AWS environment, which simplifies security, reduces costs, and improves performance.

What You Can Do:

✔ Work with petabyte-scale datasets without performance issues—query billions of rows in seconds

✔ Analyze data stored in both Redshift tables and your S3 data lake through a single interface

✔ Handle peak analysis times automatically—the system scales to meet demand during month-end reporting or when multiple teams are analyzing simultaneously

✔ Get instant results for common queries through smart caching—repeated questions get answered immediately

✔ Leverage AWS’s global infrastructure if you have data in multiple regions

✔ Combine your data warehouse analysis with other AWS services you might be using

Why This Matters

Snowflake’s unique architecture means that ten people running intensive analyses won’t slow each other down. This is especially valuable for growing teams where more people need data access. With Orbit’s integration, you can democratize data access across your organization without worrying about performance bottlenecks or complex resource management.

All-in-One Analytics in the Microsoft Ecosystem

Microsoft Fabric brings together data, analytics, and AI in one platform, and Orbit Analytics plugs right in. Perfect for organizations already invested in Microsoft’s ecosystem, this integration makes advanced analytics accessible to everyone.

Microsoft Fabric represents Microsoft’s vision for unified analytics—bringing together data engineering, data science, real-time analytics, and business intelligence in a single environment. For organizations that already use Microsoft 365, Azure, or Power BI, Fabric provides a natural evolution of their data platform. Orbit Analytics enhances this by adding powerful, user-friendly query and visualization capabilities.

What You Can Do:

✔ Access all your data stored in Microsoft OneLake without extra steps—OneLake acts as a single storage layer for all your data

✔ Combine Orbit’s analytics with your existing Power BI reports and dashboards, creating a comprehensive view of your business

✔ Analyze both stored data and real-time streaming data from the same interface

✔ Work within the Microsoft environment you already know—familiar authentication, familiar permissions, familiar tools

✔ Leverage Microsoft’s AI capabilities for predictive analytics and intelligent insights

✔ Share analyses and reports with colleagues using Microsoft Teams integration

Why This Matters

If your organization runs on Microsoft 365, uses Azure for cloud infrastructure, or has invested in Power BI, Fabric provides a natural home for all your data analytics. Rather than managing multiple disconnected tools, Fabric brings everything together. Orbit adds to this by providing flexible analysis capabilities that complement Power BI’s reporting strengths. Business users can explore data freely in Orbit, then publish their findings to Power BI for wider distribution.

As your data needs evolve, you might add new data sources or migrate between platforms. With Orbit, you’re not starting over—you can keep the same analytics interface and workflows even as your underlying infrastructure changes.