Software Alternatives, Accelerators & Startups

StarRocks VS AWS DataOps Development Kit

Compare StarRocks VS AWS DataOps Development Kit and see what are their differences

StarRocks logo 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.

AWS DataOps Development Kit logo AWS DataOps Development Kit

An open source development framework to help you build data workflows and modern data architecture on AWS.
  • StarRocks Landing page
    Landing page //
    2023-09-21
  • AWS DataOps Development Kit Landing page
    Landing page //
    2023-07-25

StarRocks features and specs

  • High Performance
    StarRocks is built for speed and efficiency, providing high-performance OLAP (Online Analytical Processing) capabilities. It is optimized for large-scale data analysis and can handle rapid query responses.
  • Real-time Analytics
    The platform supports real-time data analytics, allowing users to gain immediate insights from streaming data sources, which is ideal for time-sensitive business intelligence applications.
  • Scalability
    StarRocks offers horizontal scalability, allowing it to efficiently handle growing data volumes and increasing workloads without significant degradation in performance.
  • Flexibility
    It supports various data types and can integrate with diverse data sources, providing flexibility in managing and analyzing different types of datasets.
  • Open Source
    As an open-source project, StarRocks encourages community contributions and collaboration. This nature allows for customization and adaptation, which might benefit organizations looking for tailored solutions.

Possible disadvantages of StarRocks

  • Complex Setup
    Initial setup and configuration can be complex, requiring a certain level of expertise to optimize and properly deploy StarRocks for specific use cases.
  • Resource Intensive
    Due to its high performance and real-time capabilities, StarRocks can be resource-intensive, necessitating adequate hardware and infrastructure investment to operate efficiently.
  • Limited Ecosystem
    Compared to some more established platforms, StarRocks might have a smaller ecosystem of third-party integrations and plugins, which could limit extended functionality.
  • Maturity
    As a relatively newer entrant in the OLAP space, StarRocks might undergo more frequent updates and changes, potentially affecting stability or requiring continuous adaptation by its users.

AWS DataOps Development Kit features and specs

No features have been listed yet.

StarRocks videos

The Secrets Behind StarRocks' Blazing-Fast Query Performance

More videos:

  • Review - How can StarRocks outperform ClickHouse, Apache Druid® and Trino?
  • Review - Achieving real-time analytics using Apache Kafka®, Apache Flink® and StarRocks

AWS DataOps Development Kit videos

No AWS DataOps Development Kit videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to StarRocks and AWS DataOps Development Kit)
Databases
91 91%
9% 9
Data Stores
0 0%
100% 100
Relational Databases
100 100%
0% 0
Application And Data
0 0%
100% 100

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What are some alternatives?

When comparing StarRocks and AWS DataOps Development Kit, 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.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.

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

Splunk - Splunk's operational intelligence platform helps unearth intelligent insights from machine data.

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

Amazon Athena - Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.