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DBMS > chDB vs. Milvus vs. Qdrant vs. Splunk

System Properties Comparison chDB vs. Milvus vs. Qdrant vs. Splunk

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Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonMilvus  Xexclude from comparisonQdrant  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseA DBMS designed for efficient storage of vector data and vector similarity searchesA high-performance vector database with neural network or semantic-based matchingAnalytics Platform for Big Data
Primary database modelRelational DBMSVector DBMSVector DBMSSearch engine
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitegithub.com/­chdb-io/­chdbmilvus.iogithub.com/­qdrant/­qdrant
qdrant.tech
www.splunk.com
Technical documentationdoc.chdb.iomilvus.io/­docs/­overview.mdqdrant.tech/­documentationdocs.splunk.com/­Documentation/­Splunk
DeveloperQdrantSplunk Inc.
Initial release2023201920212003
Current release2.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache Version 2.0commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++, GoRust
Server operating systemsserver-lessLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Docker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyes
Typing infopredefined data types such as float or dateVector, Numeric and StringNumbers, Strings, Geo, Booleanyes
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 indexesnoyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)nonono infoSplunk Search Processing Language for search commands
APIs and other access methodsRESTful HTTP APIgRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesCollection-level replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency, tunable 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 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.yesyesno
User concepts infoAccess controlRole based access control and fine grained access rightsKey-based authenticationAccess rights for users and roles
More information provided by the system vendor
chDBMilvusQdrantSplunk
Specific characteristicsMilvus is an open-source and cloud-native vector database built for production-ready...
» more
Competitive advantagesHighly available, versatile, and robust with millisecond latency. Supports batch...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
» more
Key customersMilvus is trusted by thousands of enterprises, including PayPal, eBay, IKEA, LINE,...
» more
Market metricsAs of January 2024, 25k+ GitHub stars 10M+ downloads and installations​ ​ 3k+ enterprise...
» more
Licensing and pricing modelsMilvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
chDBMilvusQdrantSplunk
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