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HBase
HBase

193
156
+ 1
12
Scylla
Scylla

25
21
+ 1
0
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HBase vs Scylla: 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 Scylla? Next Generation Cassandra. Real-time big data database, with scale-up performance of 1,000,000 IOPS per node, scale-out to 100s of nodes and 99 latency of less than 1 msec.

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

HBase and Scylla are both open source tools. It seems that Scylla with 5.18K GitHub stars and 615 forks on GitHub has more adoption than HBase with 2.91K GitHub stars and 2.01K GitHub forks.

Pinterest, HubSpot, and hike are some of the popular companies that use HBase, whereas Scylla is used by Investing.com, Dstillery, and Yieldbot. HBase has a broader approval, being mentioned in 54 company stacks & 18 developers stacks; compared to Scylla, which is listed in 11 company stacks and 5 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 Scylla?

Real-time big data database, with scale-up performance of 1,000,000 IOPS per node, scale-out to 100s of nodes and 99 latency of less than 1 msec.
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        What are some alternatives to HBase and Scylla?
        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 Scylla
        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 ScyllaDB
        ScyllaDB uses ScyllaScylla

        ScyllaDB provides all of the goodies of Apache Cassandra, including HA, multiDC, replication sharding and so forth. The implementation is in C++ and the internal design is better and thus it achieves 10X the throughput, low 99% latency and more

        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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