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Google makes BI push with Cloud Platform Partner Program

One of the more notable announcements in the last month was that of Google’s Cloud Platform Partner Program. The platform currently offers Google Compute Engine, Google App Engine, Google BigQuery, and Google Cloud Storage. The partner program is designed to extend the use of these applications by allowing integration of other
Technology Partner applications as well as expanding implementation options with Service Partners. In an earlier blog post, IBM CEO Study: Leading Through Connections, we looked at the idea of amplifying innovation with partnerships. Google has certainly positioned themselves to embrace this mentality throughout several cloud-based fields with this move. However, we will focus on the moves within the business intelligence space, particularly around Google’s BigQuery application.  Here are the highlights of the eight partnerships announced with some details on the objective of each:

Partnering company: Pervasive Software

Area of focus: ETL

Objective: Allow Pervasive’s RushAnalyzer to provide Extract Transform and Load (ETL) functionality for Google’s BigQuery. “The combination of Pervasive RushAnalyzer with Google BigQuery’s fully managed analytics service in the cloud provides an end-to-end platform to gather disparate data, cleanse and enrich it, and query it in a flash.  Users can rapidly and affordably prepare and query even multi-terabyte datasets to discover patterns and correlations that can transform their business.”  

Click here for the official announcement

 

Partnering company: Talend

Area of focus: Reporting and analytics

Objective: Alllow Talend’s Open Studio for Big Data to integrate with BigQuery’s real-time analytics. “The Google Cloud Platform offers a broad set of application development, compute, cloud storage, large scale computing, and big data capabilities that democratize big data for our clients, thanks to the native support by Talend Open Studio for Big Data of Google BigQuery.”

Click here for the official announcement

 

Partnering company: Informatica Corporation

Area of focus: ETL

Objective: Release of a connector to securely move data between Informatica Cloud and Google Cloud while utilizing Informatica’s scalable data integration technology. “Extending its award-winning Informatica Cloud integration Platform-as-a-Service (iPaaS), enterprises of all sizes can now securely move data to and from their on-premise and cloud IT systems and Google Cloud services such as Google Cloud Storage and Google BigQuery with Informatica Cloud Connector for Google Cloud.”

Click here for the official announcement

 

Partnering company: SQLStream

Area of focus: ETL

Objective: Release of a connector for real-time Big Data integration with Google BigQuery. “SQLstream’s continuous ETL is the key building block for powerful real-time Big Data solutions that integrate vast volumes of real-time streaming Big Data with historical trend information. SQLstream provides streaming integration for structured and unstructured data in real-time and on a massive scale, overcoming the poor scalability and high latency issues that are typical with traditional batch-based solutions.”

Click here for the official announcement

 

Partnering company: Jaspersoft

Area of focus: Reporting and analytics

Objective: Release an open source connector for Google BigQuery allowing for BI reporting and analytics on the Google Cloud Platform. “This technology connector brings Jaspersoft’s easy-to-use BI tools into the Google Cloud Platform, making access to reporting and business analytics available in a simple, integrated tool.”

Click here for the official announcement

 

Partnering company: QlikTech

Area of focus: Reporting and analytics

Objective: Release of a connector between QlikView application and Google BigQuery for seamless integration of the two products. “With QlikView’s custom connector, users can load BigQuery data into memory and explore information freely rather than being confined to a predefined path of questions. The QlikView extension object provides a direct connection from QlikView dashboards to Google BigQuery, which enables users to ask ad-hoc questions on large volumes of data and get answers in seconds, without creating a single line of SQL code.”

Click here for the official announcement

 

Partnering company: Metric Insights

Area of focus: Reporting and analytics

Objective: Integration of self-service BI portal with Google Cloud Platform to allow for more complete solution to big data visualization and collaboration. “Instead of presenting data in a vacuum, the product delivers business users instant insight into how events impact key metrics. BI professionals benefit from a solution that supports multiple data sources, internal and external users, is integrated with Google BigQuery, and can be implemented in hours instead of weeks or months.”

Click here for the official announcement

 

Partnering company: BIME Analytics

Area of focus: Dashboards and Analytics

Objective: Integration of BIME Analytics with Google Cloud Platform product offerings for more complete cloud BI solution. “BIME version 4.0 lets companies of any size mine their own business by querying large data sets and create compelling visualizations to make better business decisions, faster. The Google Cloud Platform offers a broad set of application development, cloud storage, large scale computing, and big data capabilities that provides our customers with a reliable, quick and infinitely scalable pay-as-you-go service. Google BigQuery unlocks the potential of Big Data for the rest of us.”

Click here for the official announcement

 

What are your thoughts on the partnership moves by Google? How do you see more traditional BI companies responding to this approach? Comment below!

One thought on “Google makes BI push with Cloud Platform Partner Program

  1. Great post Ryan, it looks like moving business data to cloud is more suitable for small company as they don’t have to invest much to build IT system inside but just to manage their company data in cloud. The example provided in Google BigQuery is almost for structured data while I am curious if it’s possible to do some SQL like query for semi-structured data. Expecting to see more functionality of BigQuery…

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