Amazon Managed Apache Cassandra Service
DynamoDB
DataStax Constellation
Datastax Enterprise
Amazon Neptune
Amazon Kinesis
AWS CodePipeline
AWS CodeCommit
Amazon Redshift
Google BigQuery
Vertica
LibreOffice - Base
Microsoft SQL Server
Microsoft Office Access
Snowflake
Brilliant Database
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Based on our record, Amazon Redshift seems to be a lot more popular than Amazon Managed Apache Cassandra Service. While we know about 26 links to Amazon Redshift, we've tracked only 2 mentions of Amazon Managed Apache Cassandra Service. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
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
They differ from conventional analytic databases like Snowflake, Redshift, BigQuery, and Oracle in several ways. Conventional databases are batch-oriented, loading data in defined windows like hourly, daily, weekly, and so on. While loading data, conventional databases lock the tables, making the newly loaded data unavailable until the batch load is fully completed. Streaming databases continuously receive new... - Source: dev.to / 3 months ago
Data warehousing is the process of storing and analyzing large volumes of data for business intelligence and analytics purposes. AWS offers a fully managed data warehousing service called Amazon Redshift that can handle petabyte-scale data warehouses with ease. - Source: dev.to / 7 months ago
The topics of databases and data warehouses are central to the modern data landscape, and Amazon's offeringsDynamoDB and Redshiftare standout products in their respective categories. Here's a detailed comparison:. - Source: dev.to / 9 months ago
Amazon Redshift is a powerful, scalable data warehousing service within the AWS ecosystem. It excels in handling large datasets with its columnar storage, parallel query execution, and features like Redshift Spectrum and RA3 instances. Redshift’s clustered architecture, robust security, and integration with AWS services make it a go-to choice for businesses needing efficient and secure data management solutions. - Source: dev.to / 11 months ago
Amazon Redshift (analytics) Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Amazon Redshift, you can analyze your data using your existing business intelligence tools. Https://aws.amazon.com/redshift/. - Source: dev.to / over 1 year 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.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
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.
Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...
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
