Amazon Managed Apache Cassandra Service
DynamoDB
DataStax Constellation
Datastax Enterprise
Amazon Neptune
Amazon Kinesis
AWS CodePipeline
AWS CodeCommit
Vertica
Amazon Redshift
Microsoft SQL Server
LibreOffice - Base
Microsoft Office Access
Brilliant Database
Firebird
Microsoft SQL Server Compact
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Amazon Keyspaces is a database service highly compatible with Apache Cassandra. It is a readily available service that can handle a high range of requests per second. Hence, Amazon Web Services (AWS) customers use Amazon Keyspaces (for Apache Cassandra) in order to modernize their Cassandra workloads. - Source: dev.to / over 1 year ago
Over time, we should have only dockers and lambda functions in our compute. While doing this, we should also discard the EC2 instances one by one and move onto Fargate. Drop the Kafka or other messaging services and move to Kinesis, EventBridge, SNS or SQS, as per the requirement. Migrate to cloud native databases like Aurora, DocumentDB, DynamoDB, and other purpose built databases like TimeStream, Keyspace,... - Source: dev.to / almost 3 years ago
DynamoDB - Amazon DynamoDB is a fast and flexible NoSQL database service for all applications that need consistent, single-digit millisecond latency at any scale. It is a fully managed cloud database and supports both document and key-value store models.
Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.
DataStax Constellation - Find out how DataStax Constellation, a cloud-native platform with smart services, is radically simplifying and accelerating application development while eliminating the complex overhead of database operations.
Microsoft SQL Server - Microsoft Azure is an open, flexible, enterprise-grade cloud computing platform. Move faster, do more, and save money with IaaS + PaaS. Try for FREE.
Datastax Enterprise - DataStax Enterprise is the always-on, active everywhere, distributed hybrid cloud database built on Apache Cassandra™.
LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC
