Securely integrate IBM DB2 with Clearbit
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.
Clearbit is a data vendor that offers advanced tools for capturing and enriching visitor data. It can turn anonymous visitors into leads, qualify and enrich existing leads, and ensure that contact data is accurate and up-to-date. Beyond that, Clearbit also allows you to search its growing database of companies to find new leads, rather than relying on traditional search methods.
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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.
Clearbit's End Points
Get a risk score for a new signup by checking their email and IP address against a number of factors, including if their name matches their email, if the email address is disposable, and if the IP or email address is blacklisted. Then, use that information to decide if you want to require additional security measures, request authentication or completely deny access to the user.
Search for a company associated with an IP address that visited your site, allowing you to create a new lead from an anonymous visit. Specifically, Clearbit will take that IP address and return any available company information - such as company name, domain, and associated tags - and company metrics, such as amount raised and number of employees.
Retrieve a list of contacts by searching for specific parameters like company, job title, or role. Clearbit will then provide you with contact cards for any contacts that fit those parameters, including their names, emails, associated companies, and phone numbers.
Find a company’s logo via the company’s domain. Clearbit will return a logo by searching through various sources, including social media accounts. You can also use this feature to directly inform Clearbit of a logo that you would prefer them to use for your company.
Find companies that meet a specific set of criteria, such as size, location, or industry. This will allow you to discover a group of new leads rather than having to manually track them down one by one.
Use a person’s email address or a company’s domain name - and, optionally, more detailed information - to enrich their contact information. Clearbit will return a variety of data including names, locations, social media info, and phone numbers.
Provide Clearbit with a partial company name in order to retrieve more complete company information. This can return the company’s full name, domain, and logo, which you can use to gather more company information through enrichment tools.