About IBM DB2
Finding a good Db2 connector is tough! Use ours for both extracting data from and loading data to.
About AlloyDB
AlloyDB is a brand new fully-managed PostgreSQL-compatible database from Google Cloud. Launched in 2022, the database handles transactional and analytical workloads, streamlining the management and administration of PostgreSQL deployments.
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.
AlloyDB's End Points
Table of Contents
- Connect operational data to AlloyDB data for a single source of truth
- ETL data to AlloyDB in minutes
- Integrate.io has the AlloyDB data integrations you need
- How Integrate.io customers power growth with the AlloyDB connector
- Get started moving data in minutes
- Why choose Integrate.io for your AlloyDB data integration?
- Get started on your AlloyDB data integration today
- Explore our AlloyDB ETL resources
- Check out our latest AlloyDB-related articles
Connect operational data to AlloyDB data for a single source of truth
Integrate.io is a no-code data pipeline platform that performs
ETL,
ELT, Reverse ETL, data warehouse insights, data observability, and super-fast CDC. Its bi-directional AlloyDB connector can ETL operational data to Google's new PostgreSQL-compatible database without advanced data engineering or manual pipeline-building, streamlining the entire data integration process.
One of the most popular use cases for AlloyDB data integration is moving operational data from disparate sources to Google Cloud Platform's PostgreSQL database. Integrate.io can help you do that! Its out-of-the-box native AlloyDB connector can create a single source of truth for marketing data inside AlloyDB, removing the need for several operational systems.
- Storing marketing data in AlloyDB makes sense for many marketers because of the database's 99.99% uptime SLA, scalable architecture, incredible storage facilities, and ability to handle transactional workloads.
- Moving marketing data (and other operational data) to AlloyDB provides you with a 360-degree view of customers, campaigns, and marketing workflows in a single reference point.
- After moving data to AlloyDB for its storage and maintenance benefits, you can ETL that data to a data warehouse and generate intelligence about your marketing processes in machine learning-compatible BI tools.
ETLing data to databases like AlloyDB is complicated, even if you have intermediate data engineering knowledge. That's because data integration can involve data engineering, programming, and pipeline-building. With Integrate.io, you don't have to worry about the complications of integration. Its native bi-directional AlloyDB connector moves data from multiple sources to Google's PostgreSQL database without hiring engineers or building complex data pipelines from scratch.
Schedule an intro call with Integrate.io to learn more.
ETL data to AlloyDB in minutes
ETLing data from data sources to AlloyDB is a simple three-step process with Integrate.io's connector. This process can take as little as a few minutes with no data engineering or complex programming involved.
- Integrate.io extracts data from a source and places it in a staging area. Supported data sources include apps, SaaS tools, relational databases, legacy databases, and other data platforms.
- Integrate.io transforms that data into the most appropriate format for AlloyDB. This stage of the ETL process can improve data quality, increase compatibility, and enhance compliance with data governance frameworks like GDPR.
- Integrate.io loads data into AlloyDB.
You can repeat this simple process with other data sources in your organization, turning AlloyDB into a single source of truth.
Alternatively, you can ETL data from AlloyDB to operational systems and other platforms. Integrate.io does all the heavy lifting for you, allowing you to focus on other organizational tasks.
The Integrate.io AlloyDB connector moves data to and from AlloyDB on your terms, removing the need to use multiple tools for data integration.
Set up an ETL trial meeting now, and learn more about the benefits of Integrate.io's AlloyDB connector.
Integrate.io has the AlloyDB data integrations you need
Integrate.io ETLs data to Google’s new database with its pre-built connector, reducing delivery time and eliminating unnecessary expenses.
Examples of Integrate.io AlloyDB integrations:
- Bring Shopify data to AlloyDB and benefit from Google's data durability and high availability.
- Transfer Salesforce data to AlloyDB and benefit from Google's superior performance and incredibly fast analytical queries.
- Move AlloyDB data to the Google BigQuery data warehouse and generate insights about business operations. Identify patterns and trends in data and make better organizational decisions.
View more AlloyDB integrations on Integrate.io:
Integrate.io is the no-code data pipeline platform that makes AlloyDB data integration simple! You can move data in a jargon-free environment and remove the pain points associated with data transformation and database migration.
Try Integrate.io yourself for 14 days!
How Integrate.io customers power growth with the AlloyDB connector
ETLing data to Integrate.io helps you get more value from the data in your organization.
- Create workflows that automate data integration based on your custom schedule. You can move data to Google’s new cloud database whenever you like.
- Remove data silos that prevent you from carrying out day-to-day business operations. Moving data from isolated sources to cloud-native AlloyDB provides a real-time view of business performance and productivity.
- Integrate.io eliminates human error during the ETL process. The platform's AlloyDB connector automates data integration, providing better quality data outcomes.
- Integrate.io's drag-and-drop point-and-click user interface makes AlloyDB data integration simple, even if you have never used a data pipeline platform.
- Integrate.io's connector is compatible with open-source PostgreSQL operating systems, allowing you to consolidate data more effectively.
Get started moving data in minutes
Ready to start moving data to or from AlloyDB’s database service? Enter a few details about your business and then
talk to an expert who can help you decide on the best data integration use case. Integrate.io will provide you with the resources required for every step of your integration journey.
Why choose Integrate.io for your AlloyDB data integration?
World-class support
Integrate.io offers exceptional customer support and will always be there for you during your data integration project. Contact a team member by phone, email, or chat to troubleshoot issues or learn more about Integrate.io features. Alternatively, access resources, tutorials, and FAQ pages online.
Customize integration notifications
Like other data pipeline platform providers, Integrate.io will notify you when an issue occurs during integration, allowing you to take quick action. However, you can customize the alerts you receive so you don't bombard your hard-working data team.
World-class security
Benefit from encryption, field-level data hashing, and other data security protocols when using Integrate.io's AlloyDB data connector. Get peace of mind!
REST API connector
You can pull in data from any source with a REST API using Integrate.io's REST API connector. Now you can improve data integration even if you can't find the right connector!
Data compliance
Integrate.io's connectors can help you adhere to relevant data governance frameworks in your industry or region, such as GDPR and CCPA. Prevent expensive government fines for non-compliance!
Pre-built connectors
It's not just AlloyDB! You can find pre-built connectors for various data sources and destinations, helping you improve functionality and reach your data integration benchmarks. Find Integrate.io connectors for Salesforce, HubSpot, Shopify, Amazon Redshift (AWS), Snowflake, Oracle, Google Analytics, Facebook, Mailchimp, MongoDB, Amazon S3, MySQL, IBM Db2, Microsoft Azure Blob Storage, and much more!
Get started on your AlloyDB data integration today
Want to ETL datasets to and from AlloyDB? Integrate.io's out-of-the-box native bi-directional connector can suit your data integration use case and help you get more value from Google's new PostgreSQL database. Sign up for an
ETL trial set-up meeting now, and start your AlloyDB data integration.
Explore our AlloyDB ETL resources
Here are some additional resources for Amazon S3 data integration:
Check out our latest AlloyDB-related articles: