Gartner names Google a Leader in the 2019 Magic Quadrant for Data Management Solutions for Analytics (DMSA). Read the Critical Capabilities for DMSA report here.
Big data products
Efficiently capture, process, and analyze data with Google Cloud data analytics products.
Fully managed serverless approach
Seamlessly unlock business insights with Google Cloud Platform's fully managed, proven, end-to-end data analytics products. Remove operational complexities of data analytics with a serverless approach and make important business decisions quickly and efficiently.
BigQuery
Serverless data warehouse
BigQuery is Google's fully managed, low cost, serverless data warehouse that scales with your storage and computing power needs. With BigQuery, you get a columnar and ANSI SQL database that can analyze terabytes to petabytes of data in blazing-fast speeds. Analyze geospatial data using familiar SQL with BigQuery GIS. Quickly build and operationalize ML models on large-scale structured or semi-structured data using simple SQL with BigQuery ML, and support real-time interactive dashboarding with sub-second query latency using BigQuery BI Engine. Plus, BigQuery offers data transferring services, flexible data ingestion, and pay-for-what-you-use pricing.
Read the Gartner Critical Capabilities for Data Management Solutions for Analytics report here.
Cloud Dataflow
Batch and stream data processing
Cloud Dataflow is a fully managed service for transforming and enriching data in stream (real time) and batch (historical) modes with equal reliability and expressiveness. Cloud Dataflow's serverless approach frees you from operational tasks like capacity planning, resource management, and performance optimization, while you only pay for what you use. Plus, Cloud Dataflow not only works with Google's ingestion, data warehousing, and machine learning products, but also third-party tools like Apache Spark and Apache Beam.
Cloud Dataproc
Managed Apache Spark and Apache Hadoop
Cloud Dataproc is a fast, easy-to-use, fully managed cloud service for running Apache Spark and Apache Hadoop clusters in a simpler, more cost-efficient way. Operations that used to take hours or days take seconds or minutes instead — and you pay only for the resources you use with per-second billing. Cloud Dataproc integrates with storage, compute, and monitoring services across Google Cloud products, giving you a powerful and complete data processing platform.
Cloud Pub/Sub
Scalable event ingestion and messaging service
Cloud Pub/Sub is a simple, reliable, scalable foundation for stream analytics and event-driven computing systems. You can send and receive messages between independent applications and syndicate data across projects and applications running on cloud, on-premises, or hybrid environments. You can leverage Cloud Pub/Sub's flexibility to decouple systems and components hosted on GCP or elsewhere on the internet. And Cloud Pub/Sub is designed to provide "at least once" delivery at low latency with on-demand scaling to tens of millions of messages per second.
Cloud Data Fusion
Fully managed, code-free data integration service
Cloud Data Fusion is a fully managed, cloud-native data integration service that helps users efficiently build and manage ETL/ELT data pipelines. With a graphical interface and a broad open-source library of preconfigured connectors and transformations, Data Fusion shifts an organization's focus away from code and integration to insights and action.
Cloud Composer
Workflow orchestration
Cloud Composer is a fully managed workflow orchestration service that empowers you to author, schedule, and monitor pipelines that span across clouds and on-premises data centers. Built on the popular Apache Airflow open-source project and operated using the Python programming language, Cloud Composer is free from lock-in and easy to use. Plus, with end-to-end integration for GCP workloads, you can orchestrate a full pipeline with all of Google Cloud's big data products.
Data Catalog
Fully managed data discovery service
Data Catalog is a fully managed and scalable metadata management service that empowers organizations to quickly discover, manage, and understand all their data in Google Cloud. It offers a simple and easy-to-use search interface for data discovery, a flexible and powerful cataloging system for capturing both technical and business metadata, and a strong security and compliance foundation with Cloud Data Loss Prevention (DLP) and Cloud Identity and Access Management (IAM) integrations.
Google Data Studio
Serverless visual analytics
Google Data Studio is a fully managed visual analytics service that can help anyone in your organization unlock insights from data through easy-to-create and interactive dashboards that inspire smarter business decision-making. When Data Studio is combined with BigQuery BI Engine, an in-memory analysis service, data exploration and visual interactivity reach sub-second speeds, over massive datasets.
Google Sheets
Big data in familiar spreadsheets
The connected sheet is a new feature of Sheets that activates only when using the Sheets data connector for BigQuery, allowing you to access, analyze, visualize, and collaborate on up to 10 billion rows of BigQuery data — no SQL scripts needed. Sheets end users can surface insights without needing the help of BigQuery experts or analysts fluent in SQL, saving time for everyone. Sheets users can then make sense of that data with spreadsheet formulas or perform deeper analysis with features like Explore, pivot tables, and charts. It's that easy.
Cloud Dataprep
Intelligent data preparation
Cloud Dataprep by Trifacta is an intelligent data service for visually exploring, cleaning, and preparing structured and unstructured data for analysis. Because Cloud Dataprep is serverless and works at any scale, there is no infrastructure to deploy or manage. Your next ideal data transformation is suggested and predicted with each UI input, so you don't have to write code. And with automatic schema, data type, possible joins, and anomaly detection, you can skip time-consuming data profiling and focus on data analysis.
Cloud Data Transfer
Data transfer services
Cloud Data Transfer offers solutions that meet your unique data transfer needs and move data to Cloud Storage, BigQuery, or Cloud Dataproc quickly and securely. Whether you have 50 gigabytes or 50 petabytes of data, one-time or recurring transfers, or a T1 line or a 10 Gbps network connection, our data transfer services are here to meet your unique needs.
Cloud Bigtable
Fully managed NoSQL database service
Cloud Bigtable provides a massively scalable NoSQL database suitable for low-latency and high-throughput workloads. It integrates easily with popular big-data tools like Hadoop and Spark, and it supports the open-source, industry-standard HBase API. Cloud Bigtable is a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.
Cloud Storage
Object storage for big data
Cloud Storage is a unified object storage solution that allows worldwide storage and retrieval of any amount of data at any time. You can use Cloud Storage for a range of scenarios, including serving website content, storing data for archival and disaster recovery, or distributing large data objects to users via direct download.
Cloud Datalab
Powerful data exploration
Cloud Datalab is a powerful interactive tool created to explore, analyze, transform, and visualize data and build machine-learning models on Google Cloud Platform. It is an interactive notebook based on Jupyter, and it's integrated with BigQuery and Cloud Machine Learning Engine to provide easy access to key data processing services. And with TensorFlow or Cloud Machine Learning Engine, you can easily turn data into deployed machine-learning models ready for prediction.
Big data guides and resources
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