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Atlassian Fisheye VS Apache Doris

Compare Atlassian Fisheye VS Apache Doris and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Atlassian Fisheye logo Atlassian Fisheye

With FishEye you can search code, visualize and report on activity and find for commits, files, revisions, or teammates across SVN, Git, Mercurial, CVS and Perforce.

Apache Doris logo Apache Doris

Apache Doris is an open-source real-time data warehouse for big data analytics.
  • Atlassian Fisheye Landing page
    Landing page //
    2023-08-04
  • Apache Doris Apache Doris
    Apache Doris //
    2024-01-10

Atlassian Fisheye features and specs

  • Code Search
    FishEye provides advanced search capabilities, allowing users to search codebases effectively with powerful filters and syntax search options.
  • Integration with Crucible
    FishEye integrates seamlessly with Crucible, Atlassian's code review tool, making it easier to conduct code reviews and improve code quality within the same ecosystem.
  • Repository Visualization
    The tool offers visualization options to view repository activity, track changes, and understand the evolution of a project over time, aiding in project management and analysis.
  • Multiple SCM Support
    FishEye supports various source control management systems like Git, Mercurial, Subversion, CVS, and Perforce, making it versatile for different development environments.

Possible disadvantages of Atlassian Fisheye

  • Cost
    Compared to some open-source alternatives, FishEye can be relatively expensive, which might be a drawback for smaller teams or budget-conscious organizations.
  • Complexity
    The setup and configuration process can be complex, especially for teams unfamiliar with Atlassian products, potentially leading to a steeper learning curve.
  • Performance Issues
    Some users report performance slowdowns when indexing large repositories, which can affect productivity if not managed properly.
  • Limited Standalone Features
    While powerful, FishEye's full potential is often realized only when used in conjunction with other Atlassian tools, which could be limiting for users seeking a standalone solution.

Apache Doris features and specs

  • High Performance
    Apache Doris is designed to deliver high query performance, especially for aggregate queries, due to its columnar storage and vectorized execution engine.
  • Real-time Analytics
    Supports real-time data analytics with low latency, thanks to its efficient data ingestion processes and real-time data update capabilities.
  • Unified Analytics
    Provides a unified platform that supports both real-time and batch data processing, offering flexibility for different analytical workloads.
  • Ease of Use
    Features a SQL-like interface, which makes it accessible for users familiar with SQL, reducing the learning curve.
  • Scalability
    Can scale out horizontally, allowing it to handle increasing volumes of data and user queries by adding more nodes to the cluster.

Possible disadvantages of Apache Doris

  • Ecosystem Integration
    While improving, the ecosystem isn't as mature as older database management systems, which might pose integration challenges with certain tools.
  • Community Support
    Being a relatively newer project, it may not have as large a community or as extensive third-party support as more established databases.
  • Complexity in Setup
    Initial setup and configuration can be complex, especially for users not already familiar with similar distributed systems.
  • Limited Use Cases
    Optimized specifically for online analytical processing (OLAP), it may not be suitable for all types of databases or transactional use cases.
  • Features Maturity
    Some features may lack the maturity and robustness found in more mature and widely adopted database systems, requiring careful evaluation based on project needs.

Atlassian Fisheye videos

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Atlassian FishEye

More videos:

  • Review - Atlassian FishEye Overview Video

Apache Doris videos

No Apache Doris videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Atlassian Fisheye and Apache Doris)

Atlassian Fisheye

Apache Doris

Git
100 100%
Git
0% 0
Databases
0 0%
Databases
100% 100
Code Collaboration
100 100%
Code Collaboration
0% 0
Relational Databases
0 0%
Relational Databases
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 Atlassian Fisheye and Apache Doris

Atlassian Fisheye Reviews

We have no reviews of Atlassian Fisheye yet.
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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.
Source: doris.apache.org

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.

Atlassian Fisheye mentions (0)

We have not tracked any mentions of Atlassian Fisheye yet. Tracking of Atlassian Fisheye recommendations started around Mar 2021.

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 / 9 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 / 10 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 / 11 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 / 12 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 / about 1 year ago
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What are some alternatives?

When comparing Atlassian Fisheye and Apache Doris, you can also consider the following products

WPMU DEV - WPMU offers WordPress Plugins, WordPress Themes, WordPress Multisite and BuddyPress Plugins and Themes.

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

MAMP - MAMP is the abbreviation for Macintosh, Apache, MySQL, and PHP. It is a reliable application with its four components that allows you to access the local PHP server as well as the database server (SQL).

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.

Firefox Developer Edition - Built for those who build the Web. The only browser made for developers.

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

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