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DBMS > ClickHouse vs. Databricks vs. Elasticsearch vs. Graph Engine vs. Milvus

System Properties Comparison ClickHouse vs. Databricks vs. Elasticsearch vs. Graph Engine vs. Milvus

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatabricks  Xexclude from comparisonElasticsearch  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMilvus  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.The Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.A distributed, RESTful modern search and analytics engine based on Apache Lucene infoElasticsearch lets you perform and combine many types of searches such as structured, unstructured, geo, and metricA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA DBMS designed for efficient storage of vector data and vector similarity searches
Primary database modelRelational DBMSDocument store
Relational DBMS
Search engineGraph DBMS
Key-value store
Vector DBMS
Secondary database modelsTime Series DBMSDocument store
Spatial DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.31
Rank#37  Overall
#23  Relational DBMS
Score74.34
Rank#17  Overall
#3  Document stores
#11  Relational DBMS
Score134.79
Rank#7  Overall
#1  Search engines
Score0.64
Rank#241  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.70
Rank#150  Overall
#5  Vector DBMS
Websiteclickhouse.comwww.databricks.comwww.elastic.co/­elasticsearchwww.graphengine.iomilvus.io
Technical documentationclickhouse.com/­docsdocs.databricks.comwww.elastic.co/­guide/­en/­elasticsearch/­reference/­current/­index.htmlwww.graphengine.io/­docs/­manualmilvus.io/­docs/­overview.md
DeveloperClickhouse Inc.DatabricksElasticMicrosoft
Initial release20162013201020102019
Current releasev23.12.1.1368-stable, December 20238.6, January 20232.3.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoElastic LicenseOpen Source infoMIT LicenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • 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.
Zilliz Cloud – Cloud-native service for Milvus
Implementation languageC++Java.NET and CC++, Go
Server operating systemsFreeBSD
Linux
macOS
hostedAll OS with a Java VM.NETLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-free infoFlexible type definitions. Once a type is defined, it is persistentyes
Typing infopredefined data types such as float or dateyesyesyesVector, Numeric and String
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.noyesnonono
Secondary indexesyesyesyes infoAll search fields are automatically indexedno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)with Databricks SQLSQL-like query languagenono
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
Java API
RESTful HTTP/JSON API
RESTful HTTP APIRESTful HTTP API
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
Python
R
Scala
.Net
Groovy
Community Contributed Clients
Java
JavaScript
Perl
PHP
Python
Ruby
C#
C++
F#
Visual Basic
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesyesyesno
Triggersnoyes infoby using the 'percolation' featurenono
Partitioning methods infoMethods for storing different data on different nodeskey based and customShardinghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.yesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoES-Hadoop Connectorno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoMemcached and Redis integrationyesyes
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.Role based access control and fine grained access rights
More information provided by the system vendor
ClickHouseDatabricksElasticsearchGraph Engine infoformer name: TrinityMilvus
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
» more
Milvus 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...
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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.

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
ClickHouseDatabricksElasticsearchGraph Engine infoformer name: TrinityMilvus
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