HBase vs InfluxDB vs SQLite

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HBase

453
492
+ 1
15
InfluxDB

1K
1.2K
+ 1
174
SQLite

18.5K
14.6K
+ 1
535
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Pros of HBase
Pros of InfluxDB
Pros of SQLite
  • 9
    Performance
  • 5
    OLTP
  • 1
    Fast Point Queries
  • 58
    Time-series data analysis
  • 30
    Easy setup, no dependencies
  • 24
    Fast, scalable & open source
  • 21
    Open source
  • 20
    Real-time analytics
  • 6
    Continuous Query support
  • 5
    Easy Query Language
  • 4
    HTTP API
  • 4
    Out-of-the-box, automatic Retention Policy
  • 1
    Offers Enterprise version
  • 1
    Free Open Source version
  • 163
    Lightweight
  • 135
    Portable
  • 122
    Simple
  • 81
    Sql
  • 29
    Preinstalled on iOS and Android
  • 2
    Free
  • 2
    Tcl integration
  • 1
    Portable A database on my USB 'love it'

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Cons of HBase
Cons of InfluxDB
Cons of SQLite
    Be the first to leave a con
    • 4
      Instability
    • 1
      Proprietary query language
    • 1
      HA or Clustering is only in paid version
    • 2
      Not for multi-process of multithreaded apps
    • 1
      Needs different binaries for each platform

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    - No public GitHub repository available -
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    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 InfluxDB?

    InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

    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 companies use HBase?
    What companies use InfluxDB?
    What companies use SQLite?

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    What tools integrate with HBase?
    What tools integrate with InfluxDB?
    What tools integrate with SQLite?

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    Blog Posts

    Jun 24 2020 at 4:42PM

    Pinterest

    Amazon S3KafkaHBase+4
    4
    1210
    MySQLKafkaApache Spark+6
    2
    2004
    What are some alternatives to HBase, InfluxDB, 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.
    Google Cloud Bigtable
    Google Cloud Bigtable offers you a fast, fully managed, massively scalable NoSQL database service that's ideal for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike comparable market offerings, Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been battle-tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.
    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.
    See all alternatives