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Informatica PowerCenter VS Google BigQuery

Compare Informatica PowerCenter VS Google BigQuery and see what are their differences

Informatica PowerCenter logo Informatica PowerCenter

Informatica PowerCenter ist eine skalierbare, hochperformante Lösung zur Integration von Unternehmensdaten, die den gesamten Zyklus der Datenintegration unterstützt.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • Informatica PowerCenter Landing page
    Landing page //
    2022-04-01
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

Informatica PowerCenter videos

PowerCenter Review 2020: Informatica Powercenter

More videos:

  • Tutorial - Informatica Tutorial For Beginners | Informatica PowerCenter | Informatica Training | Edureka

Google BigQuery videos

Cloud Dataprep Tutorial - Getting Started 101

More videos:

  • Review - Advanced Data Cleanup Techniques using Cloud Dataprep (Cloud Next '19)
  • Demo - Google Cloud Dataprep Premium product demo

Category Popularity

0-100% (relative to Informatica PowerCenter and Google BigQuery)
Data Integration
100 100%
0% 0
Data Dashboard
0 0%
100% 100
ETL
100 100%
0% 0
Big Data
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Informatica PowerCenter and Google BigQuery

Informatica PowerCenter Reviews

10 Best ETL Tools (October 2023)
Driven by metadata, Informatica PowerCenter is aimed at improving collaboration between business and IT teams while streamlining data pipelines. The tool can parse advanced data formats like JSON, XML, and PDF. It can also automatically validate transformed data to enforce defined standards.
Source: www.unite.ai
15+ Best Cloud ETL Tools
Informatica PowerCenter is a robust, cloud-native platform for data integration. This high-performance platform can be used in a diverse array of applications, from data warehousing and analytics to application migration and data governance, forming the cornerstone of your data integration initiatives.
Source: estuary.dev
Top 14 ETL Tools for 2023
Despite these drawbacks, Informatica PowerCenter has earned a loyal following, with an average of 4.4 out of 5 stars on G2— enough to be named one of the website's top 50 IT infrastructure products in 2022. Reviewer Victor C. calls PowerCenter, “probably the most powerful ETL tool I have ever used.” However, he also complains that PowerCenter can be slow and doesn't...
A List of The 16 Best ETL Tools And Why To Choose Them
Informatica PowerCenter includes several services that allow users to design, deploy, and monitor data pipelines. For example, the Repository Manager helps with user management, the Designer allows users to specify the flow of data from source to target, and the Workflow Manager defines the sequence of tasks.
15 Best ETL Tools in 2022 (A Complete Updated List)
PowerCenter is a product that was developed by Informatica for data integration. It supports the data integration lifecycle and delivers critical data and values to the business. PowerCenter supports a huge volume of data and any data type and any source for data integration.

Google BigQuery Reviews

Top 6 Cloud Data Warehouses in 2023
You can also use BigQuery’s columnar and ANSI SQL databases to analyze petabytes of data at a fast speed. Its capabilities extend enough to accommodate spatial analysis using SQL and BigQuery GIS. Also, you can quickly create and run machine learning (ML) models on semi or large-scale structured data using simple SQL and BigQuery ML. Also, enjoy a real-time interactive...
Source: geekflare.com
Top 5 Cloud Data Warehouses in 2023
Google BigQuery is an incredible platform for enterprises that want to run complex analytical queries or “heavy” queries that operate using a large set of data. This means it’s not ideal for running queries that are doing simple filtering or aggregation. So if your cloud data warehousing needs lightning-fast performance on a big set of data, Google BigQuery might be a great...
Top 5 BigQuery Alternatives: A Challenge of Complexity
BigQuery's emergence as an attractive analytics and data warehouse platform was a significant win, helping to drive a 45% increase in Google Cloud revenue in the last quarter. The company plans to maintain this momentum by focusing on a multi-cloud future where BigQuery advances the cause of democratized analytics.
Source: blog.panoply.io
16 Top Big Data Analytics Tools You Should Know About
Google BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a Platform as a Service that supports querying using ANSI SQL. It also has built-in machine learning capabilities.

Social recommendations and mentions

Based on our record, Google BigQuery seems to be more popular. It has been mentiond 35 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Informatica PowerCenter mentions (0)

We have not tracked any mentions of Informatica PowerCenter yet. Tracking of Informatica PowerCenter recommendations started around Mar 2021.

Google BigQuery mentions (35)

  • Swirl: An open-source search engine with LLMs and ChatGPT to provide all the answers you need 🌌
    Using the Galaxy UI, knowledge workers can systematically review the best results from all configured services including Apache Solr, ChatGPT, Elastic, OpenSearch, PostgreSQL, Google BigQuery, plus generic HTTP/GET/POST with configurations for premium services like Google's Programmable Search Engine, Miro and Northern Light Research. - Source: dev.to / 9 months ago
  • Modern data stack: scaling people and technology at FINN
    Data Transformations: This phase involves modifying and integrating tables to generate new tables optimized for analytical use. Consider this example: you want to understand the purchasing behavior of customers aged between 20-30 in your online shop. This means you'll need to join product, customer, and transaction data to create a unified table for analytics. These data preparation tasks (e.g., joining... - Source: dev.to / 10 months ago
  • Running Transformations on BigQuery using dbt Cloud: step by step
    Introduction In today's data-driven world, transforming raw data into valuable insights is crucial. This process, however, often involves complex tasks that demand efficiency, scalability, and reliability. Enter dbt Cloud—a powerful tool that simplifies data transformations on Google BigQuery. In this article, we'll take you through a step-by-step guide on how to run BigQuery transformations using dbt Cloud.... - Source: dev.to / 10 months ago
  • Do I need a cloud computing–based data cloud company
    You'll want to evaluate what BigQuery has to offer and see if it makes sense for you to move over. Source: 12 months ago
  • I used ChatGPT to get an Internship
    Watch the introductory videos on BigQuery on the Google Cloud Platform website (https://cloud.google.com/bigquery). Source: 12 months ago
View more

What are some alternatives?

When comparing Informatica PowerCenter and Google BigQuery, you can also consider the following products

Talend Data Integration - Talend offers open source middleware solutions that address big data integration, data management and application integration needs for businesses of all sizes.

Databricks - Databricks provides a Unified Analytics Platform that accelerates innovation by unifying data science, engineering and business.‎What is Apache Spark?

Software AG webMethods - Software AG’s webMethods enables you to quickly integrate systems, partners, data, devices and SaaS applications

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Microsoft SQL - Microsoft SQL is a best in class relational database management software that facilitates the database server to provide you a primary function to store and retrieve data.

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.