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Cloudberry Database

Next-gen unified database for Analytics and AI. .

Cloudberry Database is created by a team of original Greenplum Database developers and ASF committers. We aim to bring modern computing capabilities to the traditional distributed MPP database to support Analytics and AI/ML workloads in one platform.

As a derivative of Greenplum Database 7, Cloudberry Database is compatible with Greenplum Database, but it's shipped with a newer PostgreSQL 14.4 kernel (scheduled kernel upgrade yearly) and a bunch of features Greenplum Database lacks or does not support.

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Pricing:
  • Open Source
  • Free
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Cloudberry Database Reviews and Details

This page is designed to help you find out whether Cloudberry Database is good and if it is the right choice for you.

#Databases #Data Warehousing #Big Data Analytics

Screenshots and images

  • Cloudberry Database Landing page
    Landing page //
    2024-05-17

Features & Specs

  1. Scalability

    Cloudberry Database is designed to handle large datasets and can scale efficiently across distributed systems, making it suitable for big data applications.

  2. Real-Time Data Processing

    The database supports real-time data analytics, which is beneficial for applications that require immediate insights from data as it arrives.

  3. Integration with Apache Ecosystem

    As part of the Apache ecosystem, Cloudberry Database integrates well with other Apache projects, enhancing its functionality and ease of use for users already leveraging Apache tools.

  4. Open Source

    Being an open-source database, Cloudberry allows users to customize and extend the database functionalities according to their specific needs without incurring additional costs.

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Is Cloudberry Database good?

Apache Cloudberry is a promising open-source, PostgreSQL-compatible massively parallel processing (MPP) database derived from Greenplum, offering solid analytical performance and enterprise-grade features under a permissive Apache 2.0 license, making it a good choice for organizations seeking a vendor-neutral, community-driven alternative to proprietary MPP databasesโ€”though as a newer Apache incubator project, it still lacks the maturity, ecosystem breadth, and long-term track record of more established data warehouse solutions.

Why choose Cloudberry Database?

  • Built on PostgreSQL, ensuring strong SQL compatibility and access to the broader PostgreSQL tooling ecosystem
  • MPP architecture enables efficient parallel query processing for large-scale analytical workloads
  • Apache 2.0 licensing removes vendor lock-in and licensing costs associated with proprietary alternatives like Greenplum
  • Backed by the Apache Software Foundation, providing governance, transparency, and community-driven development
  • Inherits mature features from Greenplum lineage, including support for complex analytics, partitioning, and columnar storage
  • Active open-source community allows for transparent development and faster incorporation of community feedback
  • Supports standard PostgreSQL extensions and drivers, easing migration for existing PostgreSQL users

Recommended for

  • Organizations running large-scale analytical and data warehousing workloads who want an open-source alternative to commercial MPP databases
  • Teams already invested in PostgreSQL looking to scale to distributed, parallel processing without changing their SQL dialect
  • Companies wanting to avoid vendor lock-in from proprietary data warehouse solutions
  • Enterprises seeking a Greenplum-compatible platform after Greenplum's commercial licensing changes
  • Technical teams comfortable with early-stage or incubating open-source projects and willing to contribute to or engage with the community
  • Use cases involving heavy analytical queries, BI reporting, and batch data processing rather than high-throughput OLTP transactions

External links

We have collected here some useful links to help you find out if Cloudberry Database is good.

  • Public traffic stats of Cloudberry Database

    Check the traffic stats of Cloudberry Database on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.

  • Domain Rating (DR)

    Check the "Domain Rating" of Cloudberry Database on Ahrefs. The domain rating is a measure of the strength of a website's backlink profile on a scale from 0 to 100. It shows the strength of Cloudberry Database's backlink profile compared to the other websites. In most cases a domain rating of 60+ is considered good and 70+ is considered very good.

  • Domain Authority (DA)

    Check the "Domain Authority" of Cloudberry Database on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.

  • Public opinion on Reddit

    The latest comments about Cloudberry Database on Reddit. This can help you find out how popualr the product is and what people think about it.

Social recommendations and mentions

We have tracked the following product recommendations or mentions on various public social media platforms and blogs. They can help you see what people think about Cloudberry Database and what they use it for.
  • Migrate the legacy Greenplum to Apache Cloudberry with cbcopy
    ### cbcopy Parameters Reference (Refer to the cbcopy parameter documentation and examples for complete usage and configuration guidance.) ## Welcome to Apache Cloudberry: - **Visit the website:** https://cloudberry.apache.org - **Follow us on GitHub:** https://github.com/apache/cloudberry - **Join Slack workspace:** https://apache-cloudberry.slack.com - **Dev mailing list:** - To subscribe to dev mailing... - Source: dev.to / 7 months ago
  • Distributed Applications. Part 3 - Distributed State
    Leaderful means that all writes have to go through the leader. That prevents scaling, but helps consistency - Postgres being a good example. The way you can achieve scaling with leaders, is by sharding - have portions of data controlled by independent processes, and thus have different leaders. But you sacrifice consistency between shards - and you get Cassandra LightWeight Transactions - docs. They only work... - Source: dev.to / 9 months ago
  • Show HN: Apache Cloudberry 2.0.0 โ€“ First ASF release of MPP database
    - Changelog: https://cloudberry.apache.org/releases/2.0.0-incubating. - Source: Hacker News / 11 months ago

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Is Cloudberry Database good? This is an informative page that will help you find out. Moreover, you can review and discuss Cloudberry Database here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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