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Database and Analytics Product Services from Google Azure AWS

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Databases Data Analysis & Visualization Cloud Computing Cloud Computing Database Management Data Analytics AWS Cloud GCP Cloud Azure Cloud Cloud Databases Big Data

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Database and Analytics Product Services from Google Azure AWS

Database and Analytics Product Services from Google Azure AWS
#

Database Tools/Services
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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
13. Amazon Timestream : Fully managed time series database
14. AWS Database Migration Service : Migrate databases with minimal downtime

Data Analytics Tools/Services
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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.
12. AWS Data Exchange : Find, subscribe to, and use third-party data in the cloud
13. AWS Data Pipeline : Orchestration service for periodic, data-driven workflows
14. AWS Glue : Simple, scalable, and serverless data integration
15. AWS Lake Formation : Build, manage, and secure your data lake

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Dr Hari Thapliyaal
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Dr. Hari Thapliyaal

Dr. Hari Thapliyal is a seasoned professional and prolific blogger with a multifaceted background that spans the realms of Data Science, Project Management, and Advait-Vedanta Philosophy. Holding a Doctorate in AI/NLP from SSBM (Geneva, Switzerland), Hari has earned Master's degrees in Computers, Business Management, Data Science, and Economics, reflecting his dedication to continuous learning and a diverse skill set. With over three decades of experience in management and leadership, Hari has proven expertise in training, consulting, and coaching within the technology sector. His extensive 16+ years in all phases of software product development are complemented by a decade-long focus on course design, training, coaching, and consulting in Project Management. In the dynamic field of Data Science, Hari stands out with more than three years of hands-on experience in software development, training course development, training, and mentoring professionals. His areas of specialization include Data Science, AI, Computer Vision, NLP, complex machine learning algorithms, statistical modeling, pattern identification, and extraction of valuable insights. Hari's professional journey showcases his diverse experience in planning and executing multiple types of projects. He excels in driving stakeholders to identify and resolve business problems, consistently delivering excellent results. Beyond the professional sphere, Hari finds solace in long meditation, often seeking secluded places or immersing himself in the embrace of nature.

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