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HBase
HBase

193
156
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12
RavenDB
RavenDB

14
10
+ 1
0
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HBase vs RavenDB: 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 RavenDB? *A NoSQL Database that's fully transactional *. As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.

HBase and RavenDB belong to "Databases" category of the tech stack.

HBase and RavenDB are both open source tools. It seems that HBase with 3K GitHub stars and 2.05K forks on GitHub has more adoption than RavenDB with 2.28K GitHub stars and 723 GitHub forks.

According to the StackShare community, HBase has a broader approval, being mentioned in 69 company stacks & 109 developers stacks; compared to RavenDB, which is listed in 7 company stacks and 4 developer stacks.

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 RavenDB?

As a document database it remains true to the core principles of these type of storage mechanisms. Somehow it managed to combine the best of relational databases with that of document databases.
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        What are some alternatives to HBase and RavenDB?
        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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        How developers use HBase and RavenDB
        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

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