Fast and reliable clickhouse cloud

Kamino managed services provide cloud-hosted operations for a popular open-source column-oriented database management system (DBMS) known as ClickHouse. As a snowflake alternative, Kamino’s clickhouse hosting services offer features such as convenient ClickHouse cluster deployment, configuration modification, monitoring, and alarming.

Both individuals and corporate users can benefit from this secure and stable OLAP solution. Additionally, Clickhouse cloud services help to answer the big challenge that arises from the influx of big data with excellent query performance and data integrity as an ideal solution for online data query and analysis scenarios.

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What are some ClickHouse features?

Architecture
Depending on specific business needs, ClickHouse offers single-node, multi-node, and multi-replica architectures.
OPS
The console provides out-of-the-box services such as monitoring, log search, and parameter modification.
Data
Kamino ClickHouse hosting offers comprehensive data import and export capabilities. Information from data sources such as COS, HDFS, Kafka, and MySQL can easily be imported to the ClickHouse cluster.

Putting the Clickhouse cloud to work for you

Performance
Cost-Efficiency
Ease of use
Replication
Performance
Utilizing distributed technologies and accelerated computing, real-time analysis capabilities are realized with ClickHouse. As an open-source solution, ClickHouse performs at speeds that are unmatched by other traditional methods. It makes it easier than ever to gain valuable insights from all forms of new data.
Cost-Efficiency
Centered around robust column-oriented storage and structured data compression algorithms, ClickHouse is a great way for constructing large-scale data warehouses. It can provide ratios of up to 1,000 percent providing vast data storage and computing capabilities of a single server and reducing the use costs.
Ease of use
Users can easily integrate ClickHouse because it comprehensively supports SQL. It is also compatible with various data types such as JSON, map, and array for fast adaptation. Additionally, running the latest version of ClickHouse allows for operations with up-to-date technologies such as approximation calculation and probabilistic data structure to prepare and process massive amounts of data.
Replication
Replication ensures that data is stored on at least two servers. Painless cluster setup is one feature that provides ease of use. Replication is easy to configure with a Zookeeper cluster and a simple config file.

Something for everyone

ClickHouse can be a perfect match for end-users from data scientists and operations people, alike. Scalability, paired with the capabilities to manage, observe, and secure data provide great ease of use for any user. With SQL and ODBC support, it can prove to be a powerful data analytics back end for developers as well as non-technical users.

ClickHouse works in tandem with graphical data analysis tools as it supports the standard dialect of SQL. It also includes numerous non-standard SQL functions optimized to aid analytics. Support for ODBC also means that ClickHouse can pair with familiar tools such as Tableau, Power BI, and Excel. For even less technical users, Clickhouse can work with web-based analysis tools for data set exploration, query building, and graphing. Clickhouse can empower many open source GUI tools.

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    Is ClickHouse really that fast?

    Clickhouse was created to be fast. ClickHouse is a column-store database, built for high-speed queries. Benchmark tests demonstrate processing speeds that are 100 to 1,000 times faster than that of traditional methods. During real-time import, Clickhouse has a 50 to 200 MB/s high throughput.

    What is a column-store database?

    Simply put, a column-store database is a database management system that stores data in columns instead of traditional row databases. The purpose of this relational database is to process petabytes of data from several repositories or data sources and write and read data to and from hard disk storage. This significantly speeds up the return of a query. Important advantages of this kind of DBMS are:

    • Queries that can use a few columns out of many.
    • Query aggregates against large datasets.
    • Column-wise data compression
    What is OLAP?

    The basis of Kamino’s managed Clickhouse cloud service is digitally available data. Online Analytical Processing (OLAP) can organize and visualize digital data multidimensionally. With advancements in technology today and the huge amount of data that is generated, almost every business utilizes digital data. OLAP helps generate analytical reports and insights in real-time efficiently by reading columns separately, with a column-store database.

    What makes ClickHouse different from others?

    In data warehousing, common databases use traditional rows of data while Clickhouse is a column-store database that uses columns of data separately. With analytics queries, the Clickhouse cloud approach offered by Kamino has some performance advantages.

    1. Reduced disk IO – Analytics queries typically rely on select columns. Traditional databases have to read each row, with the columns, from the disk. A column-store DBMS, however, focuses on relevant columns from the disk. With high-cardinality analytics databases, disk IO is decreased by at least 100 times or more. This creates a host of benefits since IO is typically where performance gets slowed down for analytics.
    2. Compression – As mentioned, Clickhouse relies on structured data compression algorithms. In general, columns store very similar data, so compressing a file with repeating values can be very efficient. 20 times compression can be achieved in a ClickHouse environment. Extremely compressed data results in even less disk IO.
    3. Data locality – With a high-cardinality analytics query, data reads are adjoining rather than spread across the disk. These queries work hand-in-hand with the OS’s read-ahead cache.
    How can ClickHouse help?

    Kamino’s clickhouse cloud-managed service is designed for SQL query data analytics with a stream of clear, well structured, and immutable events or logs. Streams can be put into system tables schema. Our clickhouse service can be used for a variety of situations.

    • Web and App analytics
    • Advertising
    • Telecommunications
    • E-commerce
    • Information security
    • Business intelligence
    • Online games
    • Internet of Things