Software Alternatives, Accelerators & Startups

Google BigQuery VS FlowUp

Compare Google BigQuery VS FlowUp and see what are their differences

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.

FlowUp logo FlowUp

AI-Enabled Omnichannel Automated Lead Follow-up System
  • Google BigQuery Landing page
    Landing page //
    2023-10-03
  • FlowUp Landing page
    Landing page //
    2023-04-19

FlowUp is a new age Omnichannel Automated Follow-up System powered by Voice and SMS that helps you upkeep your follow-ups and take your sales funnel to the next level. With FlowUp, you can craft your own outbound follow-up strategy and be in constant touch with your leads through a well-designed Inbound strategy through Transfer calls and Auto-responders.

FlowUp

Website
flowup.com
$ Details
paid Free Trial $199.0 / Usage
Platforms
Web Browser
Release Date
2021 January

Google BigQuery features and specs

No features have been listed yet.

FlowUp features and specs

  • Inbound Workflow: Yes
  • Automatic Follow-Up: Yes
  • Omnichannel Reach: Yes
  • Custom Scheduling: Yes
  • Auto Responders: Yes
  • Tele-Surveys: Yes
  • Voice Response: Yes
  • Segment Leads: Yes

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

FlowUp videos

FlowUp: Dawn of Omnichannel Followup Automation Platform

Category Popularity

0-100% (relative to Google BigQuery and FlowUp)
Data Dashboard
100 100%
0% 0
Email Warm Up
0 0%
100% 100
Big Data
100 100%
0% 0
Email Deliverability
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 Google BigQuery and FlowUp

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.

FlowUp Reviews

We have no reviews of FlowUp yet.
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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.

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 / 10 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 / 11 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

FlowUp mentions (0)

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

What are some alternatives?

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

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

Bluetick.io - Personal touch at scale for all your follow-up emails

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.

InboxAlly - We pull and keep your clients' emails out of the spam folder and promotions tab, and direct them into the primary inbox. We engage with your emails to teach mailbox providers not to send your email to the spam or the promotions folder.

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.

QuickMail.io - Get more replies from prospects, eliminate manual work, and stand out from the competition with personalized, automated cold email that feels like a one-to-one message.