About IBM DB2
Finding a good Db2 connector is tough! Use ours for both extracting data from and loading data to.
About MongoDB
Use both as a source and a destination, for ultimate flexibility depending on your desired architecture.
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.
MongoDB's End Points
Table of Contents
- Connect operational data to MongoDB data for a single source of truth
- ETL data to MongoDB in minutes
- Integrate.io has the MongoDB data integrations you need
- How Integrate.io customers power growth with the MongoDB connector
- Get started moving data in minutes
- Why choose Integrate.io for MongoDB data integration?
- Get started on MongoDB data integration today
- Check out our latest MongoDB-related articles
Connect operational data to MongoDB data for a single source of truth
Perhaps the most popular MongoDB data integration use case is ETLing data from isolated and disparate sources to this document-orientated database. Integrate.io makes this possible with its simple bi-directional connector available out of the box. Now you can create a single source of truth for operational marketing data by transferring it from MongoDB to a supported target destination like a data warehouse.
- MongoDB is best suited for unstructured data like docs and rich media. Integrate.io's MongoDB connector can move this type of marketing data from the open-source NoSQL database to a warehouse for enhanced storage, metrics and business intelligence, and a single reference point.
- You can then transfer marketing data to a warehouse and push it through BI tools like Tableau, Looker, and Microsoft Power BI for incredible insights about your marketing process.
- Learn more about customers, clients, and campaigns using Integrate.io's connector for business intelligence and make better organizational decisions.
ETLing MongoDB to a supported warehouse is a complicated process that involves coding, data engineering, pipeline building, authentication, permissions, templates, connection strings, metadata, database replication, and more. Integrate.io handles the heavy lifting of MongoDB data integration with its native connector, removing the need to assemble an expensive data engineering team and build data pipelines from scratch.
Schedule an intro call with Integrate.io to discover more.
ETL data to MongoDB in minutes
ETLing data from MongoDB to a data warehouse platform is easier than ever with Integrate.io's connector. This process can take as little as a few minutes without lots of coding or data engineering.
- Integrate.io extracts data from MongoDB and places it in a staging area.
- The no-code data pipeline platform transforms that data into the best format for a supported data warehouse and can improve data quality, compatibility, and compliance.
- Integrate.io loads data into a warehouse (or other supported data destination), allowing you to optimize data through your favorite BI tools for better decision-making.
Unlike manual MongoDB data integration, you can push data from this NoSQL database to a supported warehouse without the process taking weeks. Alternatively, move data from MongoDB to a data source without the hassle and hard work!
The Integrate.io MongoDB connection automates MongoDB data integration, letting your team focus on more critical tasks.
Set up an ETL trial meeting to learn more about the benefits of MongoDB integration with Integrate.io.
Integrate.io has the MongoDB data integrations you need
Integrate.io's pre-built connector ETLs data to and from MongoDB on your terms. Eliminate integration delivery time and get more value from MongoDB data!
Examples of Integrate.io MongoDB data integrations
How Integrate.io customers power growth with the MongoDB connector
ETLing data to/from MongoDB is no longer a chore with Integrate.io's connector.
- Create simple workflows that automate MongoDB data integration and prepare and process data sets for storage and analytical purposes.
- Remove data silos that hinder data integration in your organization. Integrate.io's connector transfers data from isolated locations to MongoDB, improving performance and productivity.
- Eliminate human error during ETL and generate better data quality outcomes.
- Integrate.io's drag-and-drop point-and-click user interface streamlines data integration, making this platform a valuable addition to your tech stack!
Get started moving data in minutes
Are you ready to transfer data to or from MongoDB? Enter a few details on a simple form and
talk to an expert who can guide you through the data integration process. Integrate.io will be with you during every stage of your exciting new data integration journey!
Why choose Integrate.io for MongoDB data integration?
Excellent customer support
Contact an Integrate.io team member by phone, email, or live chat at any time. You can also troubleshoot issues and learn more about data integration via Integrate.io's tutorials, user guides, and FAQ pages.
Customize integration notifications
Sick of your team receiving countless notifications during the data integration process? Customize Integrate.io alerts based on your use case and only receive critical updates that require your team's attention.
First-class security
Integrate.io provides data encryption, field-level hashing, and other data security benefits, helping you improve compliance in your organization.
REST API connector
Don't see a connector for a data integration use case on Integrate.io? Use the platform's REST API connector to pull data from practically any source with a REST API. Benefit from data integration without any limitations or restrictions!
Data compliance
Use Integrate.io's MongoDB connector to adhere to data governance legislation in your jurisdiction or sector, such as GDPR, HIPAA, and CCPA. Avoid expensive government fines that can bankrupt your business!
Pre-built connectors
Integrate.io doesn't just move data to/from MongoDB. Its pre-built connectors improve integration with multiple sources and destinations, helping you take data management to the next level. Find Integrate.io connectors for Salesforce, IBM Db2, Azure Blog Storage, Oracle, Amazon S3 (AWS), Google Analytics, Google Cloud Platform, Facebook, Instagram, Mailchimp, Shopify, and more.
Get started on MongoDB data integration today
It's time to ETL MongoDB data! Are you ready? Use Integrate.io's native bi-directional out-of-the-box data connector to get more value from this open-source NoSQL document-orientated database. Sign up for an
ETL trial setup meeting now!
Check out our latest MongoDB-related articles