Connect IBM DB2 to RESTful API
These companies automate their data pipelines using Integrate.io
About IBM DB2
Finding a good Db2 connector is tough! Use ours for both extracting data from and loading data to.
About RESTful API
The most robust and easy-to-use API ingestion method supporting APIs of all complexities.
Popular Use Cases
Bring all your RESTful API data to Amazon Redshift
Load your RESTful API data to Google BigQuery
ETL all your RESTful API data to Snowflake
Move your RESTful API data to MySQL
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.
RESTful API's End Points
Table of Contents
- Connect REST data to a single source of truth
- Move data from REST sources quickly
- Integrate.io helps you pull data from REST sources
- Get started moving data now
- Why choose Integrate.io for data integration?
- Get started on data integration
- Check out our latest REST API connector-related articles
- See popular Integrate.io data sources and destinations
Connect REST data to a single source of truth
Want to integrate marketing data from disparate sources? Integrate.io lets you call up data from a marketing data source with a REST API and move REST data to a supported warehouse. That provides a single source of truth for the marketing data in your organization. Integrate.io's REST API connector facilitates this process, allowing you to create quick connections that support your data integration objectives.
- Move REST data used by your marketing team to a data warehouse and benefit from a single data reference point. You can compare marketing data with other data sets in a centralized cloud-based location and generate insights about customers, campaigns, and marketing processes.
- Run this data through BI tools such as Looker and Microsoft Power BI. You can view metrics on dashboards, summaries, charts, and other data visualizations and share insights with your marketing department and stakeholders.
- Integrate.io's REST API connector lets marketing companies focus on data analysis rather than wasting time on data integration.
Move data from REST sources quickly
Data teams no longer have to grapple with complex data. Integrate.io's REST API connector shares the principles of RESTful architecture, but teams can still use this connector for various scenarios and execute data integration in a quick timeframe. Here's how data professionals can use the REST API connector:
- Provide any authentication details to verify the identity of a REST API invoker. (Integrate.io's connector is capable of API authentication methods such as API keys, OAuth access tokens, and the basic HTTP authentication scheme).
- Define the components of an HTTP request. These components include URLs, headers, and method types.
- Choose the fields you want to reproduce from the API response.
Integrate.io helps you pull data from REST sources
Integrate.io fetches data from your most-used data sources with a REST API via its REST API connector.
Integrate.io REST API connector use cases
Integrate.io REST API connector use cases
- Connect data to an SQL database
- Bring data to a data warehouse
- Move data to a data lake
Get started moving data now
Ready to move data from sources via Integrate.io's REST API connector? Schedule a one-on-one meeting with an expert to discuss your data integration requirements and discover how Integrate.io can help!
Why choose Integrate.io for data integration?
Advanced features
Integrate.io's REST API connector comes with features such as rate limiting, pagination schemes, and JSON path expression. Moving data from a source to a destination via this connector has never been easier!
Simplify data integration projects
Integrate.io's REST API connector helps you fetch the data you need if you have internal systems without an exposed database layer.
Scalability
Scale your data integration projects up and down with Integrate.io's REST API connector.
Customer support
Contact an Integrate.io team member by phone, email, or chat when creating pipelines or troubleshooting an issue. The Integrate.io website has additional resources such as docs, tutorials, and FAQ pages.
Change data capture
In addition to its REST API connector, Integrate.io performs a wide range of data integration methods, such as ETL, ELT, and Reverse ETL. In addition, the no-code data pipeline platform's super-fast change data capture (CDC) capabilities help you identify database changes in real or near-real time.
Data security
Integrate.io offers constant verification, data encryption, and other benefits for data integration, providing peace of mind in an increasingly-dangerous security landscape.
Pre-built connectors
Many times, you don't need a REST API connector! Integrate.io moves data between multiple sources and destinations such as databases, SaaS tools, apps, mobile apps, web services, and CRMs, via its out-of-the-box connectors. That removes the need to complete complex integration tasks such as validation, Javascript, permissions, schemas, automation, client applications, and managing different data types. Find connections for Amazon Redshift, Salesforce, Oracle Database, Snowflake, Facebook, Google Big Query, GitHub, IBM Db2, Google Cloud Platform, and more. Integrate.io designs new connectors all the time!
Integrate.io's REST API connector comes with features such as rate limiting, pagination schemes, and JSON path expression. Moving data from a source to a destination via this connector has never been easier!
Simplify data integration projects
Integrate.io's REST API connector helps you fetch the data you need if you have internal systems without an exposed database layer.
Scalability
Scale your data integration projects up and down with Integrate.io's REST API connector.
Customer support
Contact an Integrate.io team member by phone, email, or chat when creating pipelines or troubleshooting an issue. The Integrate.io website has additional resources such as docs, tutorials, and FAQ pages.
Change data capture
In addition to its REST API connector, Integrate.io performs a wide range of data integration methods, such as ETL, ELT, and Reverse ETL. In addition, the no-code data pipeline platform's super-fast change data capture (CDC) capabilities help you identify database changes in real or near-real time.
Data security
Integrate.io offers constant verification, data encryption, and other benefits for data integration, providing peace of mind in an increasingly-dangerous security landscape.
Pre-built connectors
Many times, you don't need a REST API connector! Integrate.io moves data between multiple sources and destinations such as databases, SaaS tools, apps, mobile apps, web services, and CRMs, via its out-of-the-box connectors. That removes the need to complete complex integration tasks such as validation, Javascript, permissions, schemas, automation, client applications, and managing different data types. Find connections for Amazon Redshift, Salesforce, Oracle Database, Snowflake, Facebook, Google Big Query, GitHub, IBM Db2, Google Cloud Platform, and more. Integrate.io designs new connectors all the time!
Get started on data integration
Are you ready to pull data from a source? Integrate.io handles various data integration workflows with its REST API connector for improved functionality. Schedule an intro call to learn more and kick-start your next data integration project.
sCheck out our latest REST API connector-related articles
See popular Integrate.io data sources and destinations
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