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Apache Kudu
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What is Apache Kudu?

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

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.
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Why do developers choose Apache Kudu?
Why do developers choose InfluxDB?

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What companies use Apache Kudu?
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What tools integrate with Apache Kudu?
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What are some alternatives to Apache Kudu and InfluxDB?
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.
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.
Apache Spark
Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
Apache Impala
Impala is a modern, open source, MPP SQL query engine for Apache Hadoop. Impala is shipped by Cloudera, MapR, and Amazon. With Impala, you can query data, whether stored in HDFS or Apache HBase – including SELECT, JOIN, and aggregate functions – in real time.
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.
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Decisions about Apache Kudu and InfluxDB
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Reviews of Apache Kudu and InfluxDB
Review ofInfluxDBInfluxDB

Influx doesn't currently natively support horizontal distribution. Hard to recommend it until they implement that.

Avatar of YaronWittenstein
Computer Science
Review ofInfluxDBInfluxDB

InfluxDB is a game changer

How developers use Apache Kudu and InfluxDB
Avatar of ShadowICT
ShadowICT uses InfluxDBInfluxDB

We use InfluxDB as a store for our data that gets fed into Grafana. It's ideal for this as it's a lightweight storage engine that can be modified on the fly by scripts without having to log into the server itself and manage tables. The HTTP API also makes it ideal for integrating with frontend services.

Avatar of Goyoboard
Goyoboard uses InfluxDBInfluxDB

To track time-series of course, utilizing few retention rules and continuous queries to keep time-series data fast and maintanable

Avatar of sapslaj
sapslaj uses InfluxDBInfluxDB

InfluxDB ingests information from various sources (mostly Telegraf instances) into one place for monitoring purposes.

Avatar of Chris Hartwig
Chris Hartwig uses InfluxDBInfluxDB

All our metrics go through InfluxDB, both applicative and system

How much does Apache Kudu cost?
How much does InfluxDB cost?
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