LibreOffice - Base
Microsoft Office Access
MongoDB
My Visual Database
Symphytum
CouchBase
Brilliant Database
Kexi
Amazon Redshift
Google BigQuery
Microsoft SQL Server
Vertica
Snowflakepowe.red
Microsoft Office Access
Brilliant Database
Microsoft SQL Server Compact
LibreOffice - BaseLibreOffice Base is recommended for small businesses, educators, students, and hobbyists who need a straightforward database solution without the need for high-end features. It's also suitable for individuals and organizations already using other LibreOffice applications and those who prefer open-source software. Additionally, it can be beneficial for anyone looking to reduce software costs while maintaining necessary functionalities for database management.
Based on our record, Amazon Redshift seems to be more popular. It has been mentiond 29 times since March 2021. 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.
If your team is managing large volumes of historical data using platforms like Snowflake, Amazon Redshift, or Google BigQuery, you’ve probably noticed a shift happening in the data engineering world. A new generation of data infrastructure is forming — one that prioritizes openness, interoperability, and cost-efficiency. At the center of that shift is Apache Iceberg. - Source: dev.to / about 2 months ago
Postgres can be easily adapted to build highly tailored solutions. For instance, Amazon Redshift can be considered a highly scalable fork of Postgres. It’s a distributed database focusing on OLAP workloads that you can deploy in AWS. - Source: dev.to / 7 months ago
With the transition from ETL to ELT, data warehouses have ascended to the role of data custodians, centralizing customer data collected from fragmented systems. This pivotal shift has been enabled by a suite of powerful tools: Fivetran and Airbyte streamline the extraction and loading, DBT handles the transformation, and robust warehousing solutions like Snowflake and Redshift store the data. While traditionally... - Source: dev.to / 8 months 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 / over 1 year 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 / over 1 year ago
Microsoft Office Access - Access is now much more than a way to create desktop databases. It’s an easy-to-use tool for quickly creating browser-based database applications.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.
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.
My Visual Database - Using My Visual Database, you can create databases for invoicing, inventory, CRM, or any specific purpose.
Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...