HBase
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HBase vs SQLite: What are the differences?

Developers describe HBase as "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. On the other hand, SQLite is detailed as "A software library that implements a self-contained, serverless, zero-configuration, transactional SQL database engine". SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

HBase and SQLite can be primarily classified as "Databases" tools.

"Performance" is the top reason why over 7 developers like HBase, while over 151 developers mention "Lightweight" as the leading cause for choosing SQLite.

HBase is an open source tool with 2.91K GitHub stars and 2.01K GitHub forks. Here's a link to HBase's open source repository on GitHub.

Intuit, Coderus, and Infoshare are some of the popular companies that use SQLite, whereas HBase is used by Pinterest, HubSpot, and Yammer. SQLite has a broader approval, being mentioned in 314 company stacks & 477 developers stacks; compared to HBase, which is listed in 54 company stacks and 18 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 SQLite?

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

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    What are some alternatives to HBase and SQLite?
    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 SQLite
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    How developers use HBase and SQLite
    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 Romans Malinovskis
    Romans Malinovskis uses SQLiteSQLite

    We build queries in PHP with DSQL that work with SQLite. We also have SQLite data controller, so that you can build SQLite-based models.

    Avatar of Coolfront Technologies
    Coolfront Technologies uses SQLiteSQLite

    Used during the "build process" of Coolfront Mobile's Flat rate search engine database. Flat rate data that resides in Salesforce is transformed using SQLite into a format that is usable for our mobile Flat rate search engine (AKA: Charlie).

    Avatar of Sripathi Krishnan
    Sripathi Krishnan uses SQLiteSQLite

    RDBTools is a self-hosted application, and it is important that the installation process is simple. With SQLite, we create a new database file for every analysis. Once the analysis is done, the SQLite file can be thrown away easily.

    Avatar of Perljobs.Ru
    Perljobs.Ru uses SQLiteSQLite

    All the dynamic data (i.e.: jobs) is stored in a simple SQLite database.

    Все динамические данные (вакансии) хранятся в простой SQLite БД.

    Avatar of A. M. Douglas
    A. M. Douglas uses SQLiteSQLite

    There's really no call for something heavier for this site. SQLite is simple, easy to use and quite reliable given its age.

    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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