About Databricks
Extract data from and load data into Databricks to power your advanced analytics, machine learning pipelines, and business intelligence use cases. Do more with your Databricks data.
About Mode
As an advanced, high-speed data analytics platform, Mode helps you understand the information in your data warehouses. As a hybrid solution Mode lets (1) data teams customize queries and visualizations in Python, SQL, or R; and (2) empowers non-tech-savvy users to dive into visualizations and explore live-updating reports to get the data they need.
Popular Use Cases
Bring all your Databricks data to Amazon Redshift
Load your Databricks data to Google BigQuery
ETL all your Databricks data to Snowflake
Move your Databricks data to MySQL
Bring all your Mode data to Amazon Redshift
Load your Mode data to Google BigQuery
ETL all your Mode data to Snowflake
Move your Mode data to MySQL
Databricks's End Points
Table of Contents
- Connect Databricks for a single source of truth
- Migrate your Databricks data in minutes
- Integrate.io has the Databricks integrations you need
- How Integrate.io customers grow faster with Databricks data connectors
- Get started analyzing your Databricks data
- Why choose Integrate.io for your Databricks integration?
Connect Databricks for a Single Source of Truth
Databricks unifies your data engineering, data science, and analytics workflows. However, its true value is unlocked when it connects to the broader data ecosystem, such as CRMs, ERPs, SaaS tools, and cloud platforms.
With Integrate.io’s Databricks connector, you can centralize your data, streamline pipelines, and ensure that the insights you generate in Databricks are based on complete, timely information.
Use Integrate.io to:
With Integrate.io’s Databricks connector, you can centralize your data, streamline pipelines, and ensure that the insights you generate in Databricks are based on complete, timely information.
Use Integrate.io to:
- Load structured and semi-structured data into Databricks from APIs, databases, and applications
- Extract clean, transformed data from Databricks into analytics and reporting tools
- Sync Databricks with data warehouses and business systems in real time
Migrate Your Databricks Data in Minutes
Whether you’re building your first Delta Lake table or integrating Databricks into an existing ML pipeline, Integrate.io simplifies the setup. No complex scripting. No hand-coded workflows.
With Integrate.io, you can:
With Integrate.io, you can:
- Create Databricks pipelines via drag-and-drop configuration
- Push large datasets from multiple systems into Databricks quickly and securely
- Transform and model data in-flight before loading into Databricks
- Extract data from Databricks notebooks, jobs, and clusters for use in downstream platforms
Integrate.io Has the Databricks Integrations You Need
From operational data ingestion to machine learning preparation, Integrate.io helps Databricks fit seamlessly into your stack, without writing code.
Popular integration use cases include:
Popular integration use cases include:
- Moving Salesforce or HubSpot data into Databricks for customer modeling
- Pushing ecommerce clickstream data into Databricks for product analytics
- Exporting feature-engineered datasets from Databricks into Snowflake or BigQuery
- Using Databricks as a transformation layer before feeding dashboards in Tableau or Power BI
How Integrate.io Customers Grow Faster with Databricks Data Connectors
Innovation happens faster when Databricks is integrated with all your critical data sources. Machine learning models improve. Analytics are more complete. Decisions become more accurate.
Integrate.io helps you unlock the full potential of Databricks by making data from across your systems available, cleaned, transformed, and ready for use.
Every team benefits from connected Databricks workflows, from marketing to product to finance.
Every team benefits from connected Databricks workflows, from marketing to product to finance.
Get Started Analyzing Your Databricks Data
Whether you're prepping training data, running real-time inference, or visualizing KPIs, the key is unified data. Integrate.io connects Databricks with the platforms where your business operates.
With a few clicks, you can:
With a few clicks, you can:
- Connect Databricks to your warehouse for bi-directional sync
- Send transformed datasets from Databricks to BI tools
- Orchestrate ETL pipelines involving Delta Lake, MLflow, and more
Why Choose Integrate.io for Your Databricks Integration?
Integrate.io is built for modern data workflows, batch or streaming, structured or messy, warehouse or lakehouse.
Key advantages include:
Key advantages include:
- A no-code/low-code interface for rapid integration
- Support for Delta Lake, JDBC, and REST APIs
- Powerful transformation engine with built-in scheduling
- Secure, compliant data handling for enterprise-grade deployments
- Top-tier support and deep documentation
Mode's End Points
Mode White-Label Embeds and Visualizations
Mode's White-Label Embeds allow you to integrate customized, interactive visualizations, and analytics into your applications — so your customers can access powerful reporting that seamlessly blends with your apps. White-Label Embeds also secure your data by ensuring that specific customers see appropriate information only. Lastly, Mode includes pre-built charts and the ability customize your visualizations in JavaScript, HTML, and CCS.
Mode SQL Editor
Mode's SQL editor features a schema browser to explore the tables and columns of your connected data sources. It also has an autocomplete function to assist with query writing, a query history to browse and reuse old queries, and advanced logic tools for creating loops, IF statements, and more.
Mode Helix Data Engine
The technology behind Mode's analytics solution is Helix, a high-performance in-memory data engine that combines modern drag-and-drop business intelligence tools with a code-first (SQL, Python, R) data science platform to offer an instantly responsive user experience. Mode streams query results into the Helix data engine to reduce database load, provide quick responsiveness, and give users the ability to visually navigate as much as 10 gigabytes of data.
Mode Dashboard Features
Powered by SQL, Python, and R, Mode dashboards display automatically-refreshing metrics without the need for proprietary tools. Customize your dashboards the way you want, with on-brand reporting and interactive features to facilitate collaboration with others across your organization.
Mode Native Python and R Notebooks
Mode features native Python and R Notebooks. This allows you to query in SQL, send the results to a dataframe in R or pandas, and conveniently access them in the platform's native Notebook. At the same time, a sidebar provides tips, shortcuts, and documentation to help you get the most of these features.
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