Integrate IBM DB2 with Eloqua
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.
Oracle Eloqua offers a suite of marketing tools to automate the sending of advertisements through email, mobile devices, video, and search engine results pages. The solution promises to increase sales and conversion numbers while helping you understand your customers for improved marketing efforts. Eloqua tracks and analyses customer activity, visitor behavior, opened emails, and other data. It also saves, organizes, and analyzes important information about current and potential clients, such as names, contact information, locations, and purchase history.
Popular Use Cases
Bring all your Eloqua data to Amazon Redshift
Load your Eloqua data to Google BigQuery
ETL all your Eloqua data to Snowflake
Move your Eloqua data to MySQL
Integrate IBM DB2 With Eloqua Today
Free 7-day trial. Easy setup. Cancel any time.
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.
Eloqua's End Points
Eloqua Customer Targeting and Segmentation
Marketers can use Eloqua to analyze and measure their customer data, online and offline through multiple channels and sources. Through one interface, you'll gain access to data on customer profiles, user behavior, and marketing campaigns. This allows you to identify potential buyers, determine what triggers purchases, and send real-time responses to customers and users.
Eloqua Marketing and Campaign Management Tools
Eloqua's out-of-the-box design editing tools empower users without HTML or CSS coding experience to build responsive emails, forms, and landing pages. With Eloqua's drag-and-drop interface, it's easy to set up personalized marketing campaigns. Also, a whiteboard feature allows you to map each stage of your marketing campaigns, giving managers the ability to modify steps, add new assets, or pause the campaign.
Eloqua Lead Management Features
Eloqua empowers non-tech-savvy users to pull reports on customer profiles and user behavior records without involving the IT team. Running lead scoring models on contacts is simple, and a listener framework notifies marketers of lead scoring changes as soon as they occur.
Eloqua Insights, Reporting, and Dashboards
Eloqua's marketing measurement tools offer actionable insights into the success of your marketing efforts through high-level overviews and up-close, granular investigations. As an Oracle product, Eloqua's data is compatible with Oracle's business intelligence platform, which organizes data into the reports and dashboards that come standard with the system. You can also set up customized dashboards and reports to suit your needs.
Eloqua Sales Enablement Features
The sales enablement features included with Eloqua integrate the efforts of your sales and marketing teams so they can work together to achieve better results. These features give sales teams granular information on individual leads (like web and social media activity), which allows you to send targeted and closely-tracked emails to leads that fit specific profiles. The sales enablement features also integrate with your CRM, Microsoft Outlook, LinkedIn, PathFactory, Mintigo, and Demandbase data to provide more information on each contact.