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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Apache Kudu vs InfluxDB

Apache Kudu vs InfluxDB

OverviewComparisonAlternatives

Overview

InfluxDB
InfluxDB
Stacks1.0K
Followers1.2K
Votes175
Apache Kudu
Apache Kudu
Stacks71
Followers259
Votes10
GitHub Stars828
Forks282

Apache Kudu vs InfluxDB: What are the differences?

Apache Kudu: Fast Analytics on Fast Data. A columnar storage manager developed for the Hadoop platform. A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data; InfluxDB: An open-source distributed time series database with no external dependencies. 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..

Apache Kudu can be classified as a tool in the "Big Data Tools" category, while InfluxDB is grouped under "Databases".

"Realtime Analytics" is the top reason why over 7 developers like Apache Kudu, while over 46 developers mention "Time-series data analysis" as the leading cause for choosing InfluxDB.

Apache Kudu and InfluxDB are both open source tools. InfluxDB with 21.3K GitHub stars and 2.93K forks on GitHub appears to be more popular than Apache Kudu with 828 GitHub stars and 282 GitHub forks.

GO-JEK, deleo, and trivago are some of the popular companies that use InfluxDB, whereas Apache Kudu is used by HelloFresh, Kaspersky Lab, and Cedato. InfluxDB has a broader approval, being mentioned in 218 company stacks & 581 developers stacks; compared to Apache Kudu, which is listed in 5 company stacks and 51 developer stacks.

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Detailed Comparison

InfluxDB
InfluxDB
Apache Kudu
Apache Kudu

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.

A new addition to the open source Apache Hadoop ecosystem, Kudu completes Hadoop's storage layer to enable fast analytics on fast data.

Time-Centric Functions;Scalable Metrics; Events;Native HTTP API;Powerful Query Language;Built-in Explorer
-
Statistics
GitHub Stars
-
GitHub Stars
828
GitHub Forks
-
GitHub Forks
282
Stacks
1.0K
Stacks
71
Followers
1.2K
Followers
259
Votes
175
Votes
10
Pros & Cons
Pros
  • 59
    Time-series data analysis
  • 30
    Easy setup, no dependencies
  • 24
    Fast, scalable & open source
  • 21
    Open source
  • 20
    Real-time analytics
Cons
  • 4
    Instability
  • 1
    Proprietary query language
  • 1
    HA or Clustering is only in paid version
Pros
  • 10
    Realtime Analytics
Cons
  • 1
    Restart time
Integrations
No integrations available
Hadoop
Hadoop

What are some alternatives to InfluxDB, Apache Kudu?

MongoDB

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.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

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.

Cassandra

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.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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