Software Alternatives, Accelerators & Startups

snaplogic VS Google BigQuery

Compare snaplogic VS Google BigQuery and see what are their differences

snaplogic logo snaplogic

SnapLogic's Cloud Integration Platform as a Service helps to connect your data, apps and APIs faster. Get more from your big data investments with SnapLogic.

Google BigQuery logo Google BigQuery

A fully managed data warehouse for large-scale data analytics.
  • snaplogic Landing page
    Landing page //
    2023-09-17
  • Google BigQuery Landing page
    Landing page //
    2023-10-03

snaplogic

$ Details
-
Release Date
2006 January
Startup details
Country
United States
State
California
City
San Mateo
Founder(s)
Mike Pittaro
Employees
100 - 249

snaplogic videos

SnapLogic Architecture Overview

More videos:

  • Review - SnapLogic eXtreme Overview
  • Review - SnapLogic Live: IoT Integration

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 snaplogic and Google BigQuery)
Data Integration
100 100%
0% 0
Data Dashboard
0 0%
100% 100
Web Service Automation
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 snaplogic and Google BigQuery

snaplogic Reviews

15+ Best Cloud ETL Tools
Besides being an efficient solution for data integration, SnapLogic is also a leader in the area of graphical, AI-augmented data pipeline design. Its advanced AI-driven recommendation engine, Iris, harnesses over 6 years and 7 petabytes of metadata to enable the creation of pipelines that are significantly faster and more efficient.
Source: estuary.dev
Best iPaaS Softwares
SnapLogic is the leader in self-service integration. The company’s Intelligent Integration Platform makes it fast and easy to connect applications, data, APIs, and things. Hundreds of Global 2000 customers — including Adobe, AstraZeneca, Box, GameStop, Verizon, and Wendy’s — rely on SnapLogic to automate business processes, accelerate analytics, and drive digital...
Source: iotbyhvm.ooo
Top 10 Data Integration Software: An Overview 28 Jan 2019
SnapLogic offers an AI-powered data integration software known as the SnapLogic Intelligent Integration Platform. The platform connects IT departments with other lines of business so that people can make strategic decision based on fast, accurate data. It comes with a tool that lets users set up integrations visually without coding. This powerful software supports...
Source: mopinion.com
The 28 Best Data Integration Tools and Software for 2020
Description: SnapLogic’s Intelligent Integration Platform integrates across applications, databases, data warehouses, big data streams, and IoT deployments. It allows both IT and business users to create data pipelines that can be deployed on-prem or in the cloud. It features an HTML5 visual designer and a proprietary AI algorithm called Iris that learns common integration...
15 Awesome Data Integration Vendors
SnapLogic’s SnapLogic eXtreme supports organizations to move to a completely managed data architecture. It has 450+ pre-built connectors to help with integrating structured, semi-structured, and unstructured data from multiple data sources. SnapLogic’s Enterprise Integration Cloud platform can integrate data from endpoints, such as data warehouses, APIs, or applications.
Source: www.youredi.com

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.

snaplogic mentions (0)

We have not tracked any mentions of snaplogic yet. Tracking of snaplogic 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 / 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

What are some alternatives?

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

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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

Boomi - The #1 Integration Cloud - Build Integrations anytime, anywhere with no coding required using Dell Boomi's industry leading iPaaS platform.

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.

MuleSoft Anypoint Platform - Anypoint Platform is a unified, highly productive, hybrid integration platform that creates an application network of apps, data and devices with API-led connectivity.

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.