Connect IBM DB2 to Heroku Connect
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About IBM DB2
Finding a good Db2 connector is tough! Use ours for both extracting data from and loading data to.
About Heroku Connect
Heroku Connect is a data integration tool that uses bi-directional synchronization between Salesforce and Heroku Postgres to harmonize Postgres data your Salesforce information like contacts, accounts, and custom objects. Heroku connect includes a user-friendly, point-and-click interface so non-tech-savvy users can set up the service in minutes without coding or complicated configuration procedures.
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.
Heroku Connect's End Points
Heroku Connect Synchronization of Apps Across Heroku and Salesforce
Heroku Connect allows you to build apps with open source stacks, natively integrate the apps with Postgres, and directly sync them with Salesforce. By integrating your Salesforce data with Heroku Postgres, it's easy to combine the power of the Lightning Platform with Heroku. Heroku Connect makes the process of building apps that bring your data and processes to your users as easy as coding in SQL.
Heroku Connect External Objects
Heroku Connect External Objects let you make your Heroku Postgres database information available inside your Salesforce deployment. This empowers you to synchronize your information across both platforms as you create, read, update, and delete data. By creating sophisticated applications inside Heroku and making the app data available to your Salesforce processes, you'll present a seamless experience in Salesforce, while all of your data stays inside Heroku Postgres. Moreover, configuring Heroku-Salesforce integrations for data pertaining to apps, sensors, customers, and products is a simple, point-and-click process that doesn't require any coding skills. Heroku External Objects combined with Salesforce Connect makes it easy to create a seamless experience across all of your business systems.
Heroku Connect Data Security Compliance
Heroku Shield Connect supports the development of applications that share sensitive data with Salesforce while complying with the strictest data security standards. Safely integrate CRM data, Protected Health Information (PHI), Personally Identifiable Information (PII), contact information, account data, and custom objects between Heroku apps and Salesforce. Heroku Shield Connect provides an easy pathway for building advanced applications that need to adhere to the most complicated data security regulations, including HIPAA compliance.
Heroku Connect Easy Application Development and Scaling
Through its compatibility with the most popular stacks and programming languages, Heroku Connect facilitates easy application development. Its add-on ecosystem includes your favorite development tools and databases (like New Relic, Mongo, and Redis) so you can use them with the applications you're creating. Through Heroku's proven infrastructure, which currently supports 26 billion daily transactions for massive consumer websites (such as Upworthy and Bonobo) virtually limitless scaling is available for high volume applications.
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