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Apache Doris VS Citus Data

Compare Apache Doris VS Citus Data and see what are their differences

Apache Doris logo Apache Doris

Apache Doris is an open-source real-time data warehouse for big data analytics.

Citus Data logo Citus Data

Worry-free Postgres. Built to scale out, Citus distributes data & queries across nodes so your database can scale and your queries are fast. Available as a database as a service, as enterprise software, & as open source.
  • Apache Doris Apache Doris
    Apache Doris //
    2024-01-10
  • Citus Data Landing page
    Landing page //
    2023-05-08

Apache Doris features and specs

No features have been listed yet.

Citus Data features and specs

  • Scalability
    Citus Data can scale out across multiple nodes, allowing for horizontal scaling of PostgreSQL. This facilitates handling large volumes of data and high traffic loads efficiently.
  • Distributed SQL
    It transforms PostgreSQL into a distributed database, enabling users to run parallel queries across a cluster, which can lead to significant performance improvements.
  • PostgreSQL Extension
    As an extension to PostgreSQL, Citus leverages the reliability, robustness, and the rich ecosystem of PostgreSQL, allowing users to continue using familiar PostgreSQL tools and extensions.
  • High Availability
    Citus Data provides high availability and disaster recovery options, ensuring that systems can remain operational even during failures.
  • Flexible Data Distribution
    Citus allows flexible data distribution methods like sharding, enabling efficient query executions by dividing data across nodes based on application-specific needs.

Possible disadvantages of Citus Data

  • Complexity
    Implementing a distributed system with Citus can add complexity to architecture and maintenance compared to a single-node PostgreSQL setup.
  • Use Case Suitability
    Citus is best suited for real-time analytics and multi-tenant applications but might not be the best choice for all types of workloads, particularly those that do not require distributed processing.
  • Cost
    Running a distributed database may result in higher infrastructure and maintenance costs, especially when scaling out to a large number of nodes.
  • Data Replication Overhead
    Although Citus offers high availability, maintaining replicas across multiple nodes can introduce additional overhead and complexity in data consistency management.
  • Learning Curve
    There might be a learning curve for teams to understand distributed systems' paradigms and best practices, especially if they are familiar only with traditional single-node databases.

Apache Doris videos

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Citus Data videos

Scaling Postgres Episode 48 | Microsoft Acquires Citus Data | Split WAL | Maintenance Work Memory

More videos:

  • Review - Scaling a Relational Database for the Cloud age | Citus Data

Category Popularity

0-100% (relative to Apache Doris and Citus Data)
Databases
64 64%
36% 36
Relational Databases
67 67%
33% 33
Data Warehousing
100 100%
0% 0
NoSQL Databases
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Apache Doris and Citus Data

Apache Doris Reviews

Log analysis: Elasticsearch vs Apache Doris
If you are looking for an efficient log analytic solution, Apache Doris is friendly to anyone equipped with SQL knowledge; if you find friction with the ELK stack, try Apache Doris provides better schema-free support, enables faster data writing and queries, and brings much less storage burden.

Citus Data Reviews

20+ MongoDB Alternatives You Should Know About
Citus While PostgreSQL is a powerful database, and you can store terabytes of data on a single cluster, at a larger scale you will need sharding. If so, consider the Citus PostgreSQL extension, or the DBaaS offering from the same guys.
Source: www.percona.com

Social recommendations and mentions

Based on our record, Apache Doris seems to be more popular. It has been mentiond 6 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.

Apache Doris mentions (6)

  • Evolution of Data Sharding Towards Automation and Flexibility
    Like in many databases, Apache Doris shards data into partitions, and then a partition is further divided into buckets. Partitions are typically defined by time or other continuous values. This allows query engines to quickly locate the target data during queries by pruning irrelevant data ranges. - Source: dev.to / 8 months ago
  • Steps to industry-leading query speed: evolution of the Apache Doris execution engine
    What makes a modern database system? The three key modules are query optimizer, execution engine, and storage engine. Among them, the role of execution engine to the DBMS is like the chef to a restaurant. This article focuses on the execution engine of the Apache Doris data warehouse, explaining the secret to its high performance. - Source: dev.to / 9 months ago
  • Apache Doris for log and time series data analysis in NetEase, why not Elasticsearch and InfluxDB?
    For most people looking for a log management and analytics solution, Elasticsearch is the go-to choice. The same applies to InfluxDB for time series data analysis. These were exactly the choices of NetEase, one of the world's highest-yielding game companies but more than that. As NetEase expands its business horizons, the logs and time series data it receives explode, and problems like surging storage costs and... - Source: dev.to / 10 months ago
  • Multi-tenant workload isolation in Apache Doris: a better balance between isolation and utilization
    This is an in-depth introduction to the workload isolation capabilities of Apache Doris. But first of all, why and when do you need workload isolation? If you relate to any of the following situations, read on and you will end up with a solution:. - Source: dev.to / 11 months ago
  • SQL Convertor for Easy Migration from Presto, Trino, ClickHouse, and Hive to Apache Doris
    Apache Doris is an all-in-one data platform that is capable of real-time reporting, ad-hoc queries, data lakehousing, log management and analysis, and batch data processing. As more and more companies have been replacing their component-heavy data architecture with Apache Doris, there is an increasing need for a more convenient data migration solution. That's why the Doris SQL Convertor is made. - Source: dev.to / 11 months ago
View more

Citus Data mentions (0)

We have not tracked any mentions of Citus Data yet. Tracking of Citus Data recommendations started around Mar 2021.

What are some alternatives?

When comparing Apache Doris and Citus Data, you can also consider the following products

ClickHouse - ClickHouse is an open-source column-oriented database management system that allows generating analytical data reports in real time.

StarRocks - StarRocks offers the next generation of real-time SQL engines for enterprise-scale analytics. Learn how we make it easy to deliver real-time analytics.

PostgreSQL - PostgreSQL is a powerful, open source object-relational database system.

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

MariaDB - An enhanced, drop-in replacement for MySQL

Amazon Aurora - MySQL and PostgreSQL-compatible relational database built for the cloud. Performance and availability of commercial-grade databases at 1/10th the cost.