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Greenplum Database VS Kalido Information Engine

Compare Greenplum Database VS Kalido Information Engine and see what are their differences

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Contents:
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  3. » Alternatives

Greenplum Database logo Greenplum Database

Greenplum Database is an open source parallel data warehousing platform.

Kalido Information Engine logo Kalido Information Engine

Kalido Information Engine enables customers to deploy and maintain a data warehouse much faster than traditional hand-coding or ETL-based methods.
  • Greenplum Database Landing page
    Landing page //
    2023-07-29
  • Kalido Information Engine Landing page
    Landing page //
    2023-06-25

Category Popularity

0-100% (relative to Greenplum Database and Kalido Information Engine)

Greenplum Database

Kalido Information Engine

Databases
71 71%
Databases
29% 29
Big Data
68 68%
Big Data
32% 32
Data Warehousing
61 61%
Data Warehousing
39% 39
Data Dashboard
100 100%
Data Dashboard
0% 0

User comments

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Social recommendations and mentions

Based on our record, Greenplum Database seems to be more popular. It has been mentiond 4 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.

Greenplum Database mentions (4)

  • Ask HN: It's 2023, how do you choose between MySQL and Postgres?
    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 / about 1 year ago
  • Amazon Aurora's Read/Write Capability Enhancement with Apache ShardingSphere-Proxy
    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
  • What’s the Database Plus concept and what challenges can it solve?
    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 / about 2 years ago
  • Inspecting joins in PostgreSQL
    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

Kalido Information Engine mentions (0)

We have not tracked any mentions of Kalido Information Engine yet. Tracking of Kalido Information Engine recommendations started around Mar 2021.

What are some alternatives?

When comparing Greenplum Database and Kalido Information Engine, you can also consider the following products

Apache Hive - Apache Hive data warehouse software facilitates querying and managing large datasets residing in distributed storage.

euro.message - euro.message is an email, sms and social marketing solution.

Amazon Redshift - Learn about Amazon Redshift cloud data warehouse.

Microsoft Azure Data Lake - Azure Data Lake is a real-time data processing and analytics solution that works across platforms and languages.

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.

Coeus Data Warehouse Management - Data Warehousing

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