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HBase
HBase

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HBase vs MSSQL: What are the differences?

What is HBase? The Hadoop database, a distributed, scalable, big data store. Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

What is MSSQL? It is an enterprise-level database system that is very popular for Windows web servers. It is capable of storing any type of data that you want. It will let you quickly store and retrieve information and multiple web site visitors can use it at one time.

HBase and MSSQL can be categorized as "Databases" tools.

HBase is an open source tool with 3K GitHub stars and 2.05K GitHub forks. Here's a link to HBase's open source repository on GitHub.

Pinterest, HubSpot, and hike are some of the popular companies that use HBase, whereas MSSQL is used by esportshub, Shared User Management System - Georgia Institute of Technology, and engel80. HBase has a broader approval, being mentioned in 69 company stacks & 109 developers stacks; compared to MSSQL, which is listed in 20 company stacks and 22 developer stacks.

- No public GitHub repository available -

What is HBase?

Apache HBase is an open-source, distributed, versioned, column-oriented store modeled after Google' Bigtable: A Distributed Storage System for Structured Data by Chang et al. Just as Bigtable leverages the distributed data storage provided by the Google File System, HBase provides Bigtable-like capabilities on top of Apache Hadoop.

What is MSSQL?

It is capable of storing any type of data that you want. It will let you quickly store and retrieve information and multiple web site visitors can use it at one time.
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        What are some alternatives to HBase and MSSQL?
        Cassandra
        Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.
        MongoDB
        MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
        Hadoop
        The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
        Druid
        Druid is a distributed, column-oriented, real-time analytics data store that is commonly used to power exploratory dashboards in multi-tenant environments. Druid excels as a data warehousing solution for fast aggregate queries on petabyte sized data sets. Druid supports a variety of flexible filters, exact calculations, approximate algorithms, and other useful calculations.
        Couchbase
        Developed as an alternative to traditionally inflexible SQL databases, the Couchbase NoSQL database is built on an open source foundation and architected to help developers solve real-world problems and meet high scalability demands.
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        Decisions about HBase and MSSQL
        Jelena Dedovic
        Jelena Dedovic
        Software Engineer | 5 upvotes 13.7K views
        MSSQL
        MSSQL
        PostgreSQL
        PostgreSQL
        AIOHTTP
        AIOHTTP
        asyncio
        asyncio
        Tornado
        Tornado

        Investigating Tortoise ORM and GINO ORM...

        I need to introduce some async ORM with the current stack: Tornado with asyncio loop, AIOHTTP, with PostgreSQL and MSSQL. This project revolves heavily around realtime and due to the realtime requirements, blocking during database access is not acceptable.

        Considering that these ORMs are both young projects, I wondered if anybody had some experience with similar stack and these async ORMs?

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        Interest over time
        Reviews of HBase and MSSQL
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        How developers use HBase and MSSQL
        Avatar of Pinterest
        Pinterest uses HBaseHBase

        The final output is inserted into HBase to serve the experiment dashboard. We also load the output data to Redshift for ad-hoc analysis. For real-time experiment data processing, we use Storm to tail Kafka and process data in real-time and insert metrics into MySQL, so we could identify group allocation problems and send out real-time alerts and metrics.

        Avatar of Axibase
        Axibase uses HBaseHBase
        • Raw storage engine
        • Replication
        • Fault-tolerance
        Avatar of Mehdi TAZI
        Mehdi TAZI uses HBaseHBase

        Range scan and HDFS Buffering system

        Avatar of anerudhbalaji
        anerudhbalaji uses HBaseHBase

        Primary datastore

        How much does HBase cost?
        How much does MSSQL cost?
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