Apache Kudu

Apache Kudu

The Apache Software Foundation
+

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About

A Kudu cluster stores tables that look just like tables you're used to from relational (SQL) databases. A table can be as simple as a binary key and value, or as complex as a few hundred different strongly-typed attributes. Just like SQL, every table has a primary key made up of one or more columns. This might be a single column like a unique user identifier, or a compound key such as a (host, metric, timestamp) tuple for a machine time-series database. Rows can be efficiently read, updated, or deleted by their primary key. Kudu's simple data model makes it a breeze to port legacy applications or build new ones, no need to worry about how to encode your data into binary blobs or make sense of a huge database full of hard-to-interpret JSON. Tables are self-describing, so you can use standard tools like SQL engines or Spark to analyze your data. Kudu's APIs are designed to be easy to use.

About

ClickHouse is a fast open-source OLAP database management system. It is column-oriented and allows to generate analytical reports using SQL queries in real-time. ClickHouse's performance exceeds comparable column-oriented database management systems currently available on the market. It processes hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. ClickHouse uses all available hardware to its full potential to process each query as fast as possible. Peak processing performance for a single query stands at more than 2 terabytes per second (after decompression, only used columns). In distributed setup reads are automatically balanced among healthy replicas to avoid increasing latency. ClickHouse supports multi-master asynchronous replication and can be deployed across multiple datacenters. All nodes are equal, which allows avoiding having single points of failure.

About

With an in-memory, columnar database and MPP architecture, you can query billions of rows in seconds. Queries are distributed across all nodes in a cluster, providing linear scalability for more users and advanced analytics. MPP, in-memory, and columnar storage add up to the fastest database built for data analytics. With SaaS, cloud, on premises and hybrid deployment options you can analyze data wherever it lives. Automatic query tuning reduces maintenance and overhead. Seamless integrations and performance efficiency gets you more power at a fraction of normal infrastructure costs. Smart, in-memory query processing allowed this social networking company to boost performance, processing 10B data sets a year. A single data repository and speed engine to accelerate critical analytics, delivering improved patient outcome and bottom line.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies and professionals looking for an open source data storage engine solution to facilitate their data analysis processes

Audience

Companies of all sizes

Audience

Big data solution for organizations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

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Reviews/Ratings

Overall 5.0 / 5
ease 3.0 / 5
features 4.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

The Apache Software Foundation
Founded: 1999
United States
kudu.apache.org/overview.html

Company Information

ClickHouse
Founded: 2021
United States
clickhouse.com

Company Information

Exasol
Germany
www.exasol.com

Alternatives

Apache Hudi

Apache Hudi

Apache Corporation

Alternatives

Alternatives

Apache Parquet

Apache Parquet

The Apache Software Foundation
kdb+

kdb+

KX Systems
Apache HBase

Apache HBase

The Apache Software Foundation
eXtremeDB

eXtremeDB

McObject
CelerData Cloud

CelerData Cloud

CelerData

Categories

Categories

Categories

Big Data Features

Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates

Integrations

Airbyte
Azure Marketplace
ChartDB
DbGate
Galaxy
GrowthBook
InsightFinder
Kamatera
Kestra
Langflow
Latitude
NimbleBrain
NudgeBee
OpenMetadata
Prisme Analytics
Pyramid Analytics
Streamkap
Tenzir
TiMi
rakam

Integrations

Airbyte
Azure Marketplace
ChartDB
DbGate
Galaxy
GrowthBook
InsightFinder
Kamatera
Kestra
Langflow
Latitude
NimbleBrain
NudgeBee
OpenMetadata
Prisme Analytics
Pyramid Analytics
Streamkap
Tenzir
TiMi
rakam

Integrations

Airbyte
Azure Marketplace
ChartDB
DbGate
Galaxy
GrowthBook
InsightFinder
Kamatera
Kestra
Langflow
Latitude
NimbleBrain
NudgeBee
OpenMetadata
Prisme Analytics
Pyramid Analytics
Streamkap
Tenzir
TiMi
rakam
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