Software Alternatives, Accelerators & Startups

Apache Doris VS Errbit

Compare Apache Doris VS Errbit and see what are their differences

Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Apache Doris logo Apache Doris

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

Errbit logo Errbit

The open source error catcher that's Airbrake API compliant
  • Apache Doris Apache Doris
    Apache Doris //
    2024-01-10
  • Errbit Landing page
    Landing page //
    2021-10-16

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.

Errbit features and specs

  • Open Source
    Errbit is an open-source error tracking tool, which means users can access the source code, modify it, and contribute to it. This allows for customization and flexibility to suit specific needs.
  • Self-hosted
    With Errbit, users can self-host their error tracking system, providing full control over data management, security, and infrastructure.
  • Integrations
    Errbit supports integrations with various applications such as GitHub, allowing teams to streamline their error management workflows.
  • Community Support
    Being open-source, Errbit has a community of users and contributors who can offer support, share customizations, and provide updates.
  • Cost-effective
    Since it is open-source, using Errbit can be more cost-effective for organizations than proprietary solutions, especially for those who prefer an in-house IT infrastructure.

Possible disadvantages of Errbit

  • Setup Complexity
    Setting up Errbit requires technical knowledge and effort, including server setup and maintenance, which may not be ideal for all teams.
  • Maintenance Required
    As a self-hosted solution, Errbit requires ongoing maintenance and updates, which could add to the workload of the IT team.
  • Limited Features Compared to Commercial Solutions
    Errbit may lack some advanced features and integrations that are available in commercial error tracking solutions.
  • Scale Challenges
    For very large-scale applications with a high volume of errors, managing and scaling Errbit might become challenging without significant infrastructure.
  • User Interface
    The user interface of Errbit might not be as polished or user-friendly as some commercial alternatives, potentially affecting usability.

Category Popularity

0-100% (relative to Apache Doris and Errbit)
Databases
100 100%
0% 0
Error Tracking
0 0%
100% 100
Relational Databases
100 100%
0% 0
Crash Reporting
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 Errbit

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.

Errbit Reviews

We have no reviews of Errbit yet.
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Social recommendations and mentions

Based on our record, Apache Doris should be more popular than Errbit. 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 / 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 / 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 / 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 / 12 months ago
View more

Errbit mentions (1)

  • local error monitoring ?
    Are you looking for a self-hosted solution? There's Errbit (https://errbit.com/), an open source Airbrake-compatible system. Source: over 3 years ago

What are some alternatives?

When comparing Apache Doris and Errbit, 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.

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

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.

Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.

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

BugSnag - Not all bugs are worth fixing. Prioritize and fix software bugs that matter while improving software stability with every release.