DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Apache Spark (SQL) vs. ClickHouse vs. SvectorDB

System Properties Comparison Apache Spark (SQL) vs. ClickHouse vs. SvectorDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Spark (SQL)  Xexclude from comparisonClickHouse  Xexclude from comparisonSvectorDB  Xexclude from comparison
DescriptionApache Spark SQL is a component on top of 'Spark Core' for structured data processingA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.Serverless cloud-native vector database infoServerless cloud-native vector database
Primary database modelRelational DBMSRelational DBMSVector DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.45
Rank#31  Overall
#19  Relational DBMS
Score18.71
Rank#30  Overall
#18  Relational DBMS
Score0.00
Rank#381  Overall
#19  Vector DBMS
Websitespark.apache.org/­sqlclickhouse.comsvectordb.com
Technical documentationspark.apache.org/­docs/­latest/­sql-programming-guide.htmlclickhouse.com/­docswww.svectordb.com/­docs
DeveloperApache Software FoundationClickhouse Inc.SvectorDB
Initial release201420162023
Current release3.5.0 ( 2.13), September 2023v24.6.2.17-stable, July 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
server-less
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesstring, double, vector
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsClose to ANSI SQL (SQL/JSON + extensions)
APIs and other access methodsJDBC
ODBC
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK
Supported programming languagesJava
Python
R
Scala
C# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
Server-side scripts infoStored proceduresnoyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Corekey based and custom
Replication methods infoMethods for redundantly storing data on multiple nodesnoneAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Apache Spark (SQL)ClickHouseSvectorDB
Recent citations in the news

How to run Pandas code on Spark
25 January 2025, data-ai.theodo.com

18 Top Big Data Tools and Technologies to Know About in 2025
22 January 2025, TechTarget

Introducing generative AI troubleshooting for Apache Spark in AWS Glue (preview)
22 November 2024, AWS Blog

Cracking the Apache Spark Interview: 80+ Top Questions and Answers for 2025
12 November 2024, Simplilearn

Query Execution Optimization in Spark SQL - Ji - 2020 - Scientific Programming
13 June 2024, Wiley Online Library

provided by Google News

Wiz Research Uncovers Exposed DeepSeek Database Leaking Sensitive Information, Including Chat History
29 January 2025, Wiz

Wiz reveals DeepSeek database exposed API keys, chat history
30 January 2025, TechTarget

Guess who left a database wide open, exposing chat logs, API keys, and more? Yup, DeepSeek
30 January 2025, The Register

Wiz researchers find sensitive DeepSeek data exposed to internet
30 January 2025, CyberScoop

DeepSeek AI Database Exposed: Over 1 Million Log Lines, Secret Keys Leaked
30 January 2025, The Hacker News

provided by Google News



Share this page

Featured Products

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here