Google BigQuery

Google BigQuery

By: Google Inc.

BigQuery from Google is a fast, fully managed and optimized data warehouse used by organizations to perform large-scale data analytics. Google offers economical data analytics solutions with pay-as-you-go model to suit needs of different users. The platform is easy to manage and doesn’t need any database administrator to perform the tasks. Users get everything pre-managed and ready to perform big data analytics to find meaningful business insights.

From: USA Web Visibility: 87.63%
Based on 39 Votes
Top Google BigQuery Alternatives
  • TradingView
  • Splunk
  • Cloudera
  • Teradata
  • GeoIP
  • BigPicture
  • GraphPad Prism
  • Adobe Analytics
  • MyAnalytics
  • ATLAS.ti
  • Calero
  • Amazon Redshift
  • MapR
  • Azure Databricks
  • Exploratory
Show More Show Less

Top Google BigQuery Alternatives and Overview

1

TradingView

TradingView is a platform that allows traders to choose and analyze the stocks before buying them.

By: TradingView
Based on 14 Votes
2

Splunk

Splunk is a big data analytics platform used to collect and analyze machine-generated big data and deliver real-time business insights for better decision making.

By: Splunk Inc. From USA
3

Cloudera

By: Cloudera
Based on 24 Votes
4

Teradata

Teradata is a big data analytics and warehousing platform that helps businesses in the analysis of large data types to get much more value than usual.

By: Teradata Corporation From USA
5

GeoIP

By: MaxMind
Based on 12 Votes
6

BigPicture

BigPicture is a well-established software that functions as a mind mapping and data exploration tool, based on the Microsoft Excel platform.

By: Palisade
Based on 1 Vote
7

GraphPad Prism

Founded in 1989 by scientists for their communities, GraphPad Prism is one of the leading...

By: GraphPad Software
Based on 11 Votes
8

Adobe Analytics

It also helps the firms in predicting the outcomes of all the initiatives taken by...

By: Adobe
Based on 65 Votes
9

MyAnalytics

It creates an analysis giving you a daily report of your work which enables you...

By: Microsoft
Based on 4 Votes
10

ATLAS.ti

The initial version of Atlas.ti was called Scientific Software Development, when it was released in...

By: Scientific Software Development GmbH
Based on 14 Votes
11

Calero

The software also helps in providing the best in class solutions to the users, which...

By: Calero
Based on 1 Vote
12

Amazon Redshift

The platform offers affordable, pay-as-you-go based data analytics services suitable for businesses of all sizes...

By: Amazon Web Services, Inc. From USA
Based on 22 Votes
13

MapR

By: MapR Technologies
Based on 5 Votes
14

Azure Databricks

It is very nifty and easy to implement due to its being based on the...

By: Microsoft
Based on 23 Votes
15

Exploratory

With its help, every data management technique starting from collection to processing to visualization, can...

By: Exploratory
Based on 1 Vote

Google BigQuery Review and Overview

Google BigQuery is a cloud data warehousing option offered by Google for several types of applications. It is serverless and managed, and is backed by the security and processing power of the Google Cloud platform, making it perfect for both veteran companies and smaller startups. It is basically designed for IT companies, which require a cheap-yet-effective way to manage their data from their deployed applications effectively.

A data warehouse that ensures better analytics

There is no hiding the fact that the Google BigQuery SaaS is made for high-performance analysis of data. Its robust processing architecture enables the company to use it as a method to analyze the hundreds of petabytes of data that they have stored in secure data silos, and turn them into pure leverages. The SaaS's speed, in fact, comes from the fact that it uses an ANSI SQL format for better hardware utilization and resource allocation during analysis processes. It can also scale itself according to the amount of data being processed, ensuring lower costs as well.

Machine learning to process big data

Google BigQuery uses a unique solution to a unique problem. When posed with the question about how a company can provide real-time insights in responses to queries, which is the only time they are leverageable, BigQuery answers with machine learning. The BigQuery platform makes extensive and effective use of an in-built ML subsystem called the BigQuery ML. Using collected data in both structured and semi-structured forms, data scientists can quickly train complex AI models for several purposes, which mostly involves data analysis and predictions. The simplicity comes from the fact that simple SQL is used for building these models.

Google-powered business intelligence

Business intelligence is rapidly becoming one of the most valuable assets of a company that needs to get ahead of the competition. With the help of Google BigQuery, companies can achieve the characteristic accuracy and reliability of Google in their BI queries and results. This is made possible by the BigQuery BI Engine, which enables fast analysis of data to provide companies with real-time insights through in-memory analysis mechanisms. The platform may even integrate with reporting platforms like Google Sheets and Looker.

Company Information

Company Name: Google Inc.

Company Address: 1600 Amphitheatre Parkway, Mountain View, California, USA

Founded in: 1998

Top Features

  • Enterprise Data Warehouse
  • Large-scale Data Analytics
  • Full Managed Platform
  • Petabyte Scale
  • Big Data Analytics
  • Speedy Data Scanning
  • Google Cloud Datastore
  • Flexible Pricing Options
  • Automated Data Encryption
  • Automated Data Replication
  • Role-based Access Controls
  • Access Control Configuration
  • Multiple Applications Integration
  • Easy Load & Process
  • Interactive Data Visualization
  • Flexible Data Ingestion
  • Global Availability
  • Connecting Google Products
  • Automated Data Exporting
  • Cost Controls
Analytics
  • Real-time Analysis