FME by Safe
Microsoft Azure Data Lake
Apache Hive
Snowflake
Greenplum Database
Apache Airflow
euro.message
SAP BW
Amazon Redshift
Google BigQuery
Vertica
Snowflake
Microsoft SQL Server
LibreOffice - Base
Microsoft Office Access
IBM Netezza
FME by Safe Amazon RedshiftBased on our record, Amazon Redshift should be more popular than FME by Safe. It has been mentiond 26 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.
Safe.com has all the resources you could ever imagine. Safe also offers a free at home license. Source: over 1 year ago
We have had a lot of success with FME from safe.com. Covers all your reqs. You can get a decent free trail and have a cloud version also. Top of my head its around £800 per licence - alongside there ifra server. We are exploring FME cloud at the moment which will give us a PAYG option. Source: over 1 year ago
In the competition for (HTTP:// vs HTTPS://), HTTPS certainly wins as it is a safer navigation option for users. This implies if you visit a website let us say ‘safe.com’ on your browser, Google will load the website as https://safe.com. Here, Google discards the usual http://safe.com completely making the ‘HTTPS’ default. - 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 / 8 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
Microsoft Azure Data Lake - Azure Data Lake is a real-time data processing and analytics solution that works across platforms and languages.
Google BigQuery - A fully managed data warehouse for large-scale data analytics.
Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Vertica - Vertica is a grid-based, column-oriented database designed to manage large, fast-growing volumes of...
Snowflake - Snowflake is the only data platform built for the cloud for all your data & all your users. Learn more about our purpose-built SQL cloud data warehouse.
Greenplum Database - Greenplum Database is an open source parallel data warehousing platform.
