Amazon Redshift
Google BigQuery
Vertica
LibreOffice - Base
Microsoft SQL Server
Snowflake
IBM Netezza
Microsoft Office Access
Apache Kylin
Spring Batch
Apache Druid
Apache Spark
Databricks
Greenplum Database
Google BigQuery
jq
Amazon Redshift| Categories |
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|---|---|
| Website | aws.amazon.com |
Apache Kylin| Categories |
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|---|---|
| Website | kylin.apache.org |
Based on our record, Amazon Redshift seems to be a lot more popular than Apache Kylin. While we know about 26 links to Amazon Redshift, we've tracked only 1 mention of Apache Kylin. 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.
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 / 2 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 / 6 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 / 7 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 / 10 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 / about 1 year ago
A Kafka-based data integration platform will be a good fit here. The services can add events to different topics in a broker whenever there is a data update. Kafka consumers corresponding to each of the services can monitor these topics and make updates to the data in real-time. It is also possible to create a unified data store through the same integration platform. Developers can implement a unified store either... - Source: dev.to / over 1 year ago
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Spring Batch - Level up your Java code and explore what Spring can do for you.
Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...
Apache Druid - Fast column-oriented distributed data store
LibreOffice - Base - Base, database, database frontend, LibreOffice, ODF, Open Standards, SQL, ODBC
Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
