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DBMS > AgensGraph vs. ClickHouse vs. Splunk

System Properties Comparison AgensGraph vs. ClickHouse vs. Splunk

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonClickHouse  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA 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 Data
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSSearch engine
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#361  Overall
#37  Graph DBMS
#154  Relational DBMS
Score16.31
Rank#37  Overall
#23  Relational DBMS
Score89.68
Rank#14  Overall
#2  Search engines
Websitebitnine.net/­agensgraphclickhouse.comwww.splunk.com
Technical documentationbitnine.net/­documentationclickhouse.com/­docsdocs.splunk.com/­Documentation/­Splunk
DeveloperBitnine Global Inc.Clickhouse Inc.Splunk Inc.
Initial release201620162003
Current release2.1, December 2018v23.12.1.1368-stable, December 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache 2.0commercial infoLimited free edition and free developer edition available
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.
  • 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.
  • 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.
Implementation languageCC++
Server operating systemsLinux
OS X
Windows
FreeBSD
Linux
macOS
Linux
OS X
Solaris
Windows
Data schemedepending on used data modelyesyes
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.nonoyes
Secondary indexesyesyesyes
SQL infoSupport of SQLyesClose to ANSI SQL (SQL/JSON + extensions)no infoSplunk Search Processing Language for search commands
APIs and other access methodsCypher Query Language
JDBC
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
HTTP REST
Supported programming languagesC
Java
JavaScript
Python
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
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancekey based and customSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
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.noyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess 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 roles

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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
AgensGraphClickHouseSplunk
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