Securely integrate IBM DB2 with GoodData
About IBM DB2
As a hybrid data approach, the IBM Db2 suite of products integrates all aspects of data management and analytics – for both relational and object-oriented data models – within a single, highly-compatible family of tools and technologies. IBM Db2 offers RDBMS, data warehousing, and data engine tools for cloud-based systems and on-premises systems. Plus, with Xplenty’s native Db2 connector, you can instantly connect to any piece of the IBM Db2 toolkit to leverage Db2’s capacity to share, access, and analyze both structured and unstructured data – no matter where it is located.
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.
Popular Use Cases
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IBM DB2's End Points
IBM Db2 Database
Db2 Database is a relational database management system (RDBMS) optimized for high-performance transactional workloads. As an operational database management system, Db2 Database is not only highly performant and reliable, but it also allows you to derive actionable insights from your operational data. Db2 Database delivers advanced features like in-memory technology, storage optimization, continuous data availability, workload management, and cutting-edge management and development tools. Db2 Database is compatible with Windows, Linux, and Unix.
IBM Db2 on Cloud (IBM Db2 Hosted)
Db2 on Cloud is a fully-managed, SQL-based transactional database that runs on the cloud. One of the defining characteristics of Db2 on Cloud is its high-availability option, which delivers 99.99% uptime (according to IBM). This cloud-based database offers automatic security updates and independently scalable storage and processing, which automatically scales resources up and down based on usage requirements. Available on AWS and IBM Cloud, Db2 on Cloud delivers advanced features for backup and recovery, encryption, and data federation. Through its private networking features, you can also deploy Db2 on Cloud on a private network accessible over a secure VPN. Db2 Hosted is the hosted, unmanaged version of the Db2 on Cloud SQL-based cloud database.
IBM Db2 Warehouse
As a data management system optimized for high-speed read operations, data aggregation, and analysis, IBM Db2 Warehouse has evolved over time to offer a range of advanced analytics and data management features. Db2 Warehouse allows you to combine data from various transactional and operational database systems, and analyze it to find deep insights, patterns, and hidden relationships. Db2 Warehouse supports a range of data types, machine learning algorithms, analytical models. For example, Db2 Warehouse supports relational data, non-relational data, geospatial data, multi-parallel processing, predictive modeling algorithms, in-memory analytical processing, Apache Spark, RStudio, XML data, embedded Spark Analytics engine, and more. Db2 Warehouse runs on-premises, on the private cloud, and on various public clouds as a managed or unmanaged solution.
IBM Db2 Warehouse on Cloud (dashbDB for Analytics)
Db2 Warehouse on Cloud (formerly known as “dashDB for Analytics”) is a fully-managed, highly-scalable, cloud-based data warehouse management system. IBM optimized Db2 Warehouse on Cloud to perform compute-heavy data analytics and machine learning processes at scale. The product offers autonomous cloud services with Db2's autonomous self-tuning processing engine, in addition to its fully-automated database monitoring, uptime monitoring, and operations monitoring. Db2 Warehouse on Cloud also includes capabilities for column-based storage, querying compressed datasets, data skipping, and in-memory processing. Finally, Db2 Warehouse on Cloud delivers in-database geospatial data and machine learning features – including algorithms for ANOVA, Association Rule, k-means, Naïve Bayes, Regression analysis, in-database spatial analytics, support for Esri data types, and it natively includes Python drivers and a Db2 Python integration for Jupyter Notebooks. To access these and other features, you can deploy Db2 Warehouse on Cloud via AWS or IBM Cloud.
IBM Db2 BigSQL (IBM SQL)
Db2 BigSQL (formerly known as “IBM SQL”) is a high-performance SQL data engine on Hadoop featuring a Massively Parallel Processing (MPP) architecture. Also known as “Big SQL,” this highly-scalable data engine offers ease and security while querying data from multiple sources across your enterprise. Big SQL can rapidly query data from the widest variety of sources such as RDBMS, HDFS, WebHDFS, object stores, and NoSQL databases. As a hybrid ANSI-compliant SQL engine, Big SQL is highly performant when running queries on unstructured streaming data. Finally, Big SQL is compatible with the entire suite of Db2 products, in addition to the IBM Integrated Analytics System.
Db2 Event Store
Db2 Event Store is a data management system optimized for storing and analyzing high-speed, high-volume, streaming data. Use-cases for Db2 Event Store include Internet of Things (IoT) networks, financial services systems, telecommunications networks, industrial systems, and online retail business systems. The solution offers high-speed analytics and data capture features that allow you to save and analyze up to 250 billion event records daily using only three server nodes. Db2 Event Store integrates IBM Watson Studio technology to support artificial intelligence and machine learning analyses. The solution was also built on Spark, so it works with Spark SQL, Spark Machine Learning, and other compatible tools. Finally, Db2 Event Store supports Go, ODBC, JDBC, Python, and other languages.
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.