Clickhouse vs Kinetica

Overview

Clickhouse

Stacks433

Followers543

Votes85

Kinetica

Stacks1

Followers8

Votes0

Clickhouse vs Kinetica: What are the differences?

Data Model: ClickHouse and Kinetica have different data models. ClickHouse uses a columnar model, where data is stored and processed by columns, enabling efficient compression and query execution. On the other hand, Kinetica follows a hybrid data model that combines columnar and row-based storage, providing flexibility for different use cases and query patterns.
Data Ingestion and Streaming: ClickHouse and Kinetica differ in their capabilities for data ingestion and streaming. ClickHouse primarily supports batch ingestion and asynchronous replication, while Kinetica offers real-time data ingestion and streaming capabilities, allowing for faster and continuous data processing.
Geospatial Analytics: Kinetica excels in geospatial analytics compared to ClickHouse. Kinetica provides robust support for storing, indexing, and querying geospatial data, including extensive geospatial functions and algorithms. ClickHouse, though it can handle some geospatial operations, doesn't have the same level of geospatial processing capabilities as Kinetica.
Real-time Analytics: Kinetica offers superior real-time analytics capabilities compared to ClickHouse. Kinetica leverages in-memory computing and massively parallel processing to enable real-time analytics with low latency, allowing for instant insights and quicker decision-making. ClickHouse, while capable of performing fast analytics, may not provide the same level of real-time performance as Kinetica.
Scalability and High Availability: Both ClickHouse and Kinetica are designed to scale horizontally, allowing for distributed querying and processing. However, Kinetica includes built-in high availability mechanisms, such as automatic data replication and fault tolerance, providing better resilience and availability compared to ClickHouse.
Integration and Ecosystem: ClickHouse has a strong integration with various databases, frameworks, and analytical tools, making it easier to integrate into existing data ecosystems. Additionally, ClickHouse has a thriving community and ecosystem with numerous connectors and plugins available. Kinetica also provides integration options, but its ecosystem may not be as extensive as ClickHouse in terms of community support and available integrations.

In Summary, ClickHouse and Kinetica differ in their data models, data ingestion capabilities, geospatial analytics support, real-time analytics performance, scalability and high availability features, as well as their integration ecosystems.

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CLI (Node.js)

Manual

Detailed Comparison

Clickhouse	Kinetica
It allows analysis of data that is updated in real time. It offers instant results in most cases: the data is processed faster than it takes to create a query.	Kinetica GPU Database for Advanced Analytics - Proven in the Enterprise. 100x faster than CPU-bound systems. Scale-out with Security and HA.
Statistics
Stacks 433	Stacks 1
Followers 543	Followers 8
Votes 85	Votes 0
Pros & Cons
Pros 21 Fast, very very fast 11 Good compression ratio 7 Horizontally scalable 6 Utilizes all CPU resources 5 Great CLI Cons 5 Slow insert operations	No community feedback yet

What are some alternatives to Clickhouse, Kinetica?

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

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

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

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 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

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 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

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.

Related Comparisons

Clickhouse vs Kinetica: What are the differences?

Data Model: ClickHouse and Kinetica have different data models. ClickHouse uses a columnar model, where data is stored and processed by columns, enabling efficient compression and query execution. On the other hand, Kinetica follows a hybrid data model that combines columnar and row-based storage, providing flexibility for different use cases and query patterns.
Data Ingestion and Streaming: ClickHouse and Kinetica differ in their capabilities for data ingestion and streaming. ClickHouse primarily supports batch ingestion and asynchronous replication, while Kinetica offers real-time data ingestion and streaming capabilities, allowing for faster and continuous data processing.
Geospatial Analytics: Kinetica excels in geospatial analytics compared to ClickHouse. Kinetica provides robust support for storing, indexing, and querying geospatial data, including extensive geospatial functions and algorithms. ClickHouse, though it can handle some geospatial operations, doesn't have the same level of geospatial processing capabilities as Kinetica.
Real-time Analytics: Kinetica offers superior real-time analytics capabilities compared to ClickHouse. Kinetica leverages in-memory computing and massively parallel processing to enable real-time analytics with low latency, allowing for instant insights and quicker decision-making. ClickHouse, while capable of performing fast analytics, may not provide the same level of real-time performance as Kinetica.
Scalability and High Availability: Both ClickHouse and Kinetica are designed to scale horizontally, allowing for distributed querying and processing. However, Kinetica includes built-in high availability mechanisms, such as automatic data replication and fault tolerance, providing better resilience and availability compared to ClickHouse.
Integration and Ecosystem: ClickHouse has a strong integration with various databases, frameworks, and analytical tools, making it easier to integrate into existing data ecosystems. Additionally, ClickHouse has a thriving community and ecosystem with numerous connectors and plugins available. Kinetica also provides integration options, but its ecosystem may not be as extensive as ClickHouse in terms of community support and available integrations.

Clickhouse vs Kinetica

Overview