Greenplum Database
Apache Hive
Amazon Redshift
Microsoft Azure Data Lake
Snowflake
Databricks
FME by Safe
Kognitio
Panoply
Supermetrics
QuickBI
Fivetran
Airbyte
Snowflakepowe.red
Google BigQuery
Amazon Redshift
Panoply is a smart data warehouse that automates all three key aspects of the data analytics stack: data collection & transformation (ETL), database storage management, and query performance optimization. Panoply empowers anyone working with data analytics to quickly gain actionable insights on their own - without the need of IT and Engineering.
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Greenplum Database might be a bit more popular than Panoply. We know about 4 links to it since March 2021 and only 3 links to Panoply. 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.
Friends don't let their friends choose Mysql :) A super long time ago (decades) when I was using Oracle regularly I had to make a decision on which way to go. Although Mysql then had the mindshare I thought that Postgres was more similar to Oracle, more standards compliant, and more of a real enterprise type of DB. The rumor was also that Postgres was heavier than MySQL. Too many horror stories of lost data... - Source: Hacker News / 12 months ago
A database solution architect at AWS, with over 10 years of experience in the database industry. Lili has been involved in the R&D of the Hadoop/Hive NoSQL database, enterprise-level database DB2, distributed data warehouse Greenplum/Apache HAWQ and Amazon’s cloud native database. - Source: dev.to / almost 2 years ago
Today, it is normal for enterprises to leverage diversified databases. In my market of expertise, China, in the Internet industry, MySQL together with data sharding middleware is the go to architecture, with GreenPlum, HBase, Elasticsearch, Clickhouse and other big data ecosystems being auxiliary computing engine for analytical data. At the same time, some legacy systems (such as SQLServer legacy from .NET... - Source: dev.to / almost 2 years ago
PostgreSQL is a free and advanced database system with the capacity to handle a lot of data. It’s available for very large data in several forms like Greenplum and Redshift on Amazon. It is open source and is managed by an organized and very principled community. - Source: dev.to / over 2 years ago
The service I used was Panoply. https://panoply.io/. Source: almost 2 years ago
Instead of building everything from scratch, you can try https://panoply.io/. Source: almost 2 years ago
Thanks will check this out. Currently we are testing with https://panoply.io/ but it's expensive. Source: over 2 years ago
Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.
Supermetrics - Supermetrics condenses all the major vectors of data relevant to a user's marketing campaigns and helps them make sense of it all.
Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.
QuickBI - Export data from over 300 sources to a data warehouse and analyze it with a reporting tool of your choice. Quick and easy setup.
Microsoft Azure Data Lake - Azure Data Lake is a real-time data processing and analytics solution that works across platforms and languages.
Fivetran - Fivetran offers companies a data connector for extracting data from many different cloud and database sources.
