Name: Google BigLake
Rating: 9 (1 reviews)
Author: Google

Help Desk

Web and Video Conferencing

Customer Support

Business Intelligence (BI)

Collaboration

Contract Management

Enterprise Legal Management

Environmental Health and Safety (EHS)

Meeting Management

Procurement

VoIP

Enterprise

Accounting

Expense Management

Spend Management

Subscription Management

Finance and Accounting

Applicant Tracking

Corporate Learning Management

HR Management

Payroll

Talent Intelligence

Talent Management

Workforce Analytics

Workforce Management

Human Resources

Browser

Cloud Cost Management

Cloud Storage

Component Content Management

Converged Network Adapters (CNAs)

Data Center Infrastructure Management

Data Observability

Data Pipeline

Extended Detection and Response (XDR)

Fraud Detection

Infrastructure-as-Code (IaC)

Integration Platform as a Service (iPaaS)

Internet of Things (IoT)

Interoperability

Managed Print

Network Performance Monitoring

Password Management System

Release Management

Remote Support

Session Border Controllers

Information Technology

A/B Testing

Ad Serving & Retargeting

All-in-One Marketing

Audio Editing

Content Management

Creative Collaboration

Direct Mail Automation

Email Marketing

Gamification

Intent Data

Marketing Analytics

Marketing Automation

Social Media Management

Survey & Forms Building

Web Analytics

Marketing

Project Management

Transcription

Professional Services

Customer Relationship Management (CRM)

Headless eCommerce

Multichannel Retail

Presales

Sales Intelligence

Sales

Certificate Lifecycle Management

Security

Architecture

Commercial Drone

Construction Accounting

Hotel Management

Loan Servicing

Oil and Gas

Public Sector Software

Telemedicine

Vendor Neutral Archive (VNA)

Vertical-Specific

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Built on years of investment in BigQuery, BigLake is a storage engine that allows organizations to unify data warehouses and lakes, and enable them to perform uniform fine-grained access control, and accelerate query performance across multi-cloud storage and open formats.

Amazon Redshift is a hosted data warehouse solution, from Amazon Web Services.

Current Generation

Previous Generation

Redshift Spectrum

Redshift Managed Storage

Databricks in San Francisco offers the Databricks Lakehouse Platform (formerly the Unified Analytics Platform), a data science platform and Apache Spark cluster manager. The Databricks Unified Data Service aims to provide a reliable and scalable platform for data pipelines, data lakes, and data platforms. Users can manage full data journey, to ingest, process, store, and expose data throughout an organization.  Its Data Science Workspace is a collaborative environment for practitioners to run all analytic processes in one place, and manage ML models across the full lifecycle. The Machine Learning Runtime (MLR) provides data scientists and ML practitioners with scalable clusters that include popular frameworks, built-in AutoML and optimizations.

Standard

Premium

Google BigLake

Data Lakehouse

Google’s mission is to organize the world‘s information and make it universally accessible and useful. 

Since its founding in 1998, Google has grown by leaps and bounds. From offering search in a single language the company now offers dozens of products and services—including various forms of advertising and web applications for all kinds of tasks—in scores of languages. And starting from two computer science students in a university dorm room, the company now has thousands of employees and offices around the world.

TrustRadius is a technology and business research firm based in Austin, Texas. The company is known as a review platform for verified B2B technology and software reviews through a proprietary algorithm and human verification.

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Google BigLake

Overview

What is Google BigLake?