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DBMS > ClickHouse vs. Splunk vs. SurrealDB

System Properties Comparison ClickHouse vs. Splunk vs. SurrealDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonSplunk  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionA 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.Analytics Platform for Big DataA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelRelational DBMSSearch engineDocument store
Graph DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.55
Rank#38  Overall
#23  Relational DBMS
Score89.10
Rank#14  Overall
#2  Search engines
Score1.02
Rank#190  Overall
#33  Document stores
#18  Graph DBMS
Websiteclickhouse.comwww.splunk.comsurrealdb.com
Technical documentationclickhouse.com/­docsdocs.splunk.com/­Documentation/­Splunksurrealdb.com/­docs
DeveloperClickhouse Inc.Splunk Inc.SurrealDB Ltd
Initial release201620032022
Current releasev24.4.2.141-stable, June 2024v1.5.0, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoLimited free edition and free developer edition availableOpen Source
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
Implementation languageC++Rust
Server operating systemsFreeBSD
Linux
macOS
Linux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.noyes
Secondary indexesyesyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)no infoSplunk Search Processing Language for search commandsSQL-like query language
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HTTP RESTGraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC# 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
C#
Java
JavaScript
PHP
Python
Ruby
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyesyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeskey based and customSharding
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
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.yesno
User concepts infoAccess controlAccess 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.Access rights for users and rolesyes, based on authentication and database rules

More information provided by the system vendor

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Related products and services
3rd partiesAiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» more

DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

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

More resources
ClickHouseSplunkSurrealDB
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