Best Data Management Software for MaxCompute

Find and compare the best Data Management software for MaxCompute in 2024

Use the comparison tool below to compare the top Data Management software for MaxCompute on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    MySQL Reviews
    MySQL is the most widely used open-source database in the world. MySQL is the most popular open source database for web-based applications. It has been proven to be reliable, performant, and easy-to-use. This database is used by many high-profile web properties, including Facebook, Twitter and YouTube. It is also a popular choice for embedded databases, distributed by thousands ISVs and OEMs.
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    MongoDB Reviews
    Top Pick
    MongoDB is a distributed database that supports document-based applications and is designed for modern application developers. No other database is more productive. Our flexible document data model allows you to ship and iterate faster and provides a unified query interface that can be used for any purpose. No matter if it's your first customer, or 20 million users worldwide, you can meet your performance SLAs in every environment. You can easily ensure high availability, data integrity, and meet compliance standards for mission-critical workloads. A comprehensive suite of cloud database services that allows you to address a wide range of use cases, including transactional, analytical, search, and data visualizations. Secure mobile apps can be launched with native, edge to-cloud sync and automatic conflicts resolution. MongoDB can be run anywhere, from your laptop to the data center.
  • 3
    Decube Reviews
    Decube is a comprehensive data management platform designed to help organizations manage their data observability, data catalog, and data governance needs. Our platform is designed to provide accurate, reliable, and timely data, enabling organizations to make better-informed decisions. Our data observability tools provide end-to-end visibility into data, making it easier for organizations to track data origin and flow across different systems and departments. With our real-time monitoring capabilities, organizations can detect data incidents quickly and reduce their impact on business operations. The data catalog component of our platform provides a centralized repository for all data assets, making it easier for organizations to manage and govern data usage and access. With our data classification tools, organizations can identify and manage sensitive data more effectively, ensuring compliance with data privacy regulations and policies. The data governance component of our platform provides robust access controls, enabling organizations to manage data access and usage effectively. Our tools also allow organizations to generate audit reports, track user activity, and demonstrate compliance with regulatory requirements.
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    Fluentd Reviews

    Fluentd

    Fluentd Project

    To make log data easily accessible and usable, it is important to have a single, unified layer of logging. However, existing tools fall short: legacy tools are not built for new cloud APIs and microservice-oriented architecture in mind and are not innovating quickly enough. Treasure Data created Fluentd to solve the problems of creating a unified log layer with a modular architecture and extensible plugin model. It also has a performance optimized engine. Fluentd Enterprise also addresses Enterprise requirements like Trusted Packaging. Security. Security.
  • 5
    E-MapReduce Reviews
    EMR is an enterprise-ready big-data platform that offers cluster, job, data management and other services. It is based on open-source ecosystems such as Hadoop Spark, Kafka and Flink. Alibaba Cloud Elastic MapReduce is a big-data processing solution that runs on the Alibaba Cloud platform. EMR is built on Alibaba Cloud ECS and is based open-source Apache Spark and Apache Hadoop. EMR allows you use the Hadoop/Spark ecosystem components such as Apache Hive and Apache Kafka, Flink and Druid to analyze and process data. EMR can be used to process data stored on different Alibaba Cloud data storage services, such as Log Service (SLS), Object Storage Service(OSS), and Relational Data Service (RDS). It is easy to create clusters quickly without having to install hardware or software. Its Web interface allows you to perform all maintenance operations.
  • 6
    DataWorks Reviews
    Alibaba Cloud launched DataWorks, a Big Data platform product. It offers Big Data development, data permission management and offline job scheduling. DataWorks is easy to use and does not require any special cluster setup or management. To create a workflow, drag and drop nodes. Online editing and debugging of code is possible. You can also ask other developers to join your project. Data integration, MaxCompute SQL and MaxCompute MS, machine learning, shell tasks, and MaxCompute MR are supported. To prevent service interruptions, task monitoring is supported. It sends alarms when errors are detected. It can run millions of tasks simultaneously and supports hourly, daily and weekly schedules. DataWorks is the best platform to build big data warehouses. It also offers comprehensive data warehousing and support services. DataWorks offers a complete solution for data aggregation and processing, as well as data governance and data services.
  • 7
    DataHub Reviews
    We assist organizations of all sizes in designing, developing and scaling solutions to manage their data. Datahub offers thousands of data files for free. We also offer a Premium Data Service that provides additional data and customized data with regular updates. Datahub offers important, frequently-used data in high-quality, open-source, and easy-to-use packages. You can securely share and integrate data online using data APIs, notifications, quality checks, versioning, data APIs and integrations. Data is simple and powerful. It's the fastest way for individuals, groups, and organizations to publish and distribute structured data. Our open-source framework automates data processes. You can share, store and display your data with the entire world or just privately. Open source software with professional support and maintenance. Fully integrated solution that integrates all parts. You will not only have the tools, but also a standard approach and pattern to working with your data.
  • 8
    Hologres Reviews
    Hologres, a cloud-native Hybrid Serving & Analytical Processing system (HSAP), is seamlessly integrated into the big data ecosystem. Hologres can be used to process PB-scale data at high concurrency with low latency. Hologres allows you to use your business intelligence (BI), tools to analyze data in multiple dimensions. You can also explore your business in real time. Hologres eliminates data silos and redundancy that are disadvantages of traditional real time data warehousing systems. It can be used to migrate large amounts of data and perform real-time analysis. It responds to queries on PB scale data at sub-second speeds. This speed allows you to quickly analyze data in multiple dimensions and examine your business in real time. Supports concurrent writes and queries at speeds up to 100,000,000 transactions per second (TPS). Data can be accessed immediately after it has been written.
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