Securely integrate GoodData with Mode
According to the platform’s marketing literature, GoodData’s powers ‘50% of Fortune 500 companies, over 80,000 businesses, and millions of concurrent users.’ With its motto, ‘analytics for everyone,’ the solution offers an easy-to-use, drag-and-drop analytics interface so anyone across your organization — regardless of their tech knowledge — can set up dashboards and explore business insights to collaborate with team members and make better decisions. The platform also includes out-of-the-box and customizable machine learning algorithms for advanced forecasting and analytics. Moreover, because GoodData can process large, complex, and siloed datasets, this BI solution can scale to handle virtually any size demand.
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 GoodData data to Amazon Redshift
Load your GoodData data to Google BigQuery
ETL all your GoodData data to Snowflake
Move your GoodData 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
Integrate GoodData With Mode Today
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GoodData's End Points
GoodData Analytics, Dashboards, Visualizations
GoodData features dashboards that you can easily embed into your desktop or mobile applications, so your business insights and visualizations are accessible wherever you need them to be. The platform includes customizable, interactive visualizations and drag-and-drop analytics and discovery tools. It also features easy-to-set-up machine-learning algorithms for forecasting and better decision-making.
GoodData Embedded Analytics
GoodData allows you to tailor each of your customer's experiences with personalized, embedded analytics and data models. By putting more power into your customers' hands, the platform lets your more tech-savvy users design and publish their own reports, dashboards, and visual presentations. Moreover, after developing new analytical features, you can distribute updates seamlessly across tens of thousands of users at once, or you can centrally manage distribution and customize the updates and features that different product audiences receive.
GoodData Data Ingestion at Scale
GoodData's fault-tolerant data pipeline enables high-speed ingestion of terabytes of information for tens of thousands of users. The platform also helps you respond to issues through constant monitoring and alerts that integrate with your incident response systems. GoodData's pre-built modules for data ingestion, transformation, and distribution offer time-saving advantages. Set up your data transformations in SQL and JDBC, and modify GoodData's pre-built modules with Python, Ruby, and Java SDKs.
GoodData is an enterprise-level solution that offers reliable, real-time processing and insights at scale — no matter how many clients — with a capacity to handle virtually any size dataset.
GoodData Security and Compliance
GoodData offers the latest in data security technologies and risk management features so any size company can meet its industry's compliance and information security requirements. GoodData's Security Shield system is the platform's basic-level security offering, which adheres to standard best practices for cloud-based data protection, including ISO 27001:2013 compliance, GDPR compliance, and SOC2 Type II. Meanwhile, Enterprise Shield Security is GoodData's higher-level security offering, which offers protection for enterprises handling extra-sensitive and/or strictly-regulated information.
Mode's End Points
Mode White-Label Embeds and Visualizations
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.