Database and Analytics Product Services from Google Azure AWS
| Sno |
Amazon |
Azure |
Microsoft |
| 1. |
Amazon Aurora : High performance managed relational database with full MySQL and PostgreSQL compatibility |
SQL : Managed MySQL, PostgreSQL, SQL Server |
Azure SQL : Migrate, modernize, and innovate on the modern SQL family of cloud databases |
| 2. |
Amazon Aurora Serverless V2 : Instantly scale to >100,000 transactions per second |
Datastore : NoSQL database for your web and mobile apps |
Azure Cosmos DB : Build or modernize scalable, high-performance apps |
| 3. |
Amazon DocumentDB (with MongoDB compatibility) : Fully managed document database |
Firestore : Serverless NoSQL document DB |
Azure SQL Database : Build apps that scale with managed and intelligent SQL database in the cloud |
| 4. |
Amazon DynamoDB : Managed NoSQL database |
Spanner : Horizontally scalable relational DB |
Azure Database for PostgreSQL : Fully managed, intelligent, and scalable PostgreSQL |
| 5. |
Amazon ElastiCache : In-memory caching service |
Bigtable : Petabyte-scale, low-latency, non-relational |
Azure SQL Managed Instance : Modernize SQL Server applications with a managed, always-up-to-date SQL instance in the cloud |
| 6. |
Amazon Keyspaces (for Apache Cassandra) : Managed Cassandra-compatible database |
Memorystore : Managed Redis and Memcached |
Azure Database for MySQL : Fully managed, scalable MySQL Database |
| 7. |
Amazon MemoryDB for Redis : Redis-compatible, durable, in-memory database that delivers ultra-fast performance |
Database Migration : Cloud SQL migrations simplified |
SQL Server on Azure Virtual Machines : Migrate SQL Server workloads to the cloud at lower total cost of ownership (TCO) |
| 8. |
Amazon Neptune : Fully managed graph database service |
MongoDB Atlas : JSON-like data models, querying, & scaling |
Azure Cache for Redis : Accelerate apps with high-throughput, low-latency data caching |
| 9. |
Amazon Quantum Ledger Database (QLDB) : Fully managed ledger database |
Neo4j Aura : Integrated, fully managed graph databases |
Azure Database Migration Service : Accelerate your data migration to Azure |
| 10. |
Amazon RDS : Managed relational database service for MySQL, PostgreSQL, Oracle, SQL Server, and MariaDB |
Redis Enterprise : Robust in-memory database platform |
Azure Managed Instance for Apache Cassandra : Modernize Cassandra data clusters with a managed instance in the cloud |
| 11. |
Amazon RDS on Outposts : Automate on-premises database management |
AlloyDB : Enterprise-grade, PostgreSQL-compatible databases |
Azure Database for MariaDB : Deploy applications to the cloud with enterprise-ready, fully managed community MariaDB |
| 12. |
Amazon Redshift : Fast, simple, cost-effective data warehousing |
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| 13. |
Amazon Timestream : Fully managed time series database |
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| 14. |
AWS Database Migration Service : Migrate databases with minimal downtime |
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| Sno |
Amazon |
Azure |
Microsoft |
| 1. |
Amazon Athena : Query data in S3 using SQL |
BigQuery : Data warehouse for business agility and insights. |
Azure Synapse Analytics : Limitless analytics with unmatched time to insight |
| 2. |
Amazon Cloud : SearchManaged search service |
Looker : Platform for BI, data applications, and embedded analytics. |
Azure Databricks : Design AI with Apache Spark™-based analytics |
| 3. |
Amazon DataZone (Preview) : Unlock data across organizational boundaries with built-in governance |
Dataflow : Streaming analytics for stream and batch processing. |
Microsoft Purview : Govern, protect, and manage your data estate |
| 4. |
Amazon OpenSearch Service : Search, visualize, and analyze up to petabytes of text and unstructured data |
Pub/Sub : Messaging service for event ingestion and delivery. |
Azure Data Factory : Hybrid data integration at enterprise scale, made easy |
| 5. |
Amazon EMR : Easily run big data frameworks |
Dataproc : Service for running Apache Spark and Apache Hadoop clusters. |
HDInsight : Provision cloud Hadoop, Spark, R Server, HBase, and Storm clusters |
| 6. |
Amazon FinSpace : Analytics for the financial services industry |
Cloud Data Fusion : Data integration for building and managing data pipelines. |
Azure Stream Analytics : Real-time analytics on fast-moving streaming data |
| 7. |
Amazon Kinesis : Analyze real-time video and data streams |
Cloud Composer : Workflow orchestration service built on Apache Airflow. |
Azure Machine Learning : Build, train, and deploy models from the cloud to the edge |
| 8. |
Amazon Managed Streaming for Apache Kafka : Fully managed Apache Kafka service |
Dataprep : Service to prepare data for analysis and machine learning. |
Azure Analysis Services : Enterprise-grade analytics engine as a service |
| 9. |
Amazon Redshift : Fast, simple, cost-effective data warehousing |
Dataplex : Intelligent data fabric for unifying data management across silos. |
Azure Data Lake Storage : Scalable, secure data lake for high-performance analytics |
| 10. |
Amazon QuickSight : Fast business analytics service |
Looker Studio : Interactive data suite for dashboarding, reporting, and analytics. |
Azure Data Explorer : Fast and highly scalable data exploration service |
| 11. |
AWS Clean Rooms : Match, analyze, and collaborate on datasets–without sharing or revealing underlying data |
Analytics Hub : Service for securely and efficiently exchanging data analytics assets. |
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| 12. |
AWS Data Exchange : Find, subscribe to, and use third-party data in the cloud |
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| 13. |
AWS Data Pipeline : Orchestration service for periodic, data-driven workflows |
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| 14. |
AWS Glue : Simple, scalable, and serverless data integration |
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| 15. |
AWS Lake Formation : Build, manage, and secure your data lake |
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Author
Dr Hari Thapliyaal
dasarpai.com
linkedin.com/in/harithapliyal