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DBMS > Apache Druid vs. GeoSpock vs. Milvus vs. Rockset

System Properties Comparison Apache Druid vs. GeoSpock vs. Milvus vs. Rockset

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGeoSpock  Xexclude from comparisonMilvus  Xexclude from comparisonRockset  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataSpatial and temporal data processing engine for extreme data scaleA DBMS designed for efficient storage of vector data and vector similarity searchesA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSVector DBMSDocument store
Secondary database modelsTime Series DBMSRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score3.01
Rank#89  Overall
#4  Vector DBMS
Score1.07
Rank#180  Overall
#31  Document stores
Websitedruid.apache.orggeospock.commilvus.iorockset.com
Technical documentationdruid.apache.org/­docs/­latest/­designmilvus.io/­docs/­overview.mddocs.rockset.com
DeveloperApache Software Foundation and contributorsGeoSpockRockset
Initial release201220192019
Current release30.0.0, June 20242.0, September 20192.4.4, May 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
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 languageJavaJava, JavascriptC++, GoC++
Server operating systemsLinux
OS X
Unix
hostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
hosted
Data schemeyes infoschema-less columns are supportedyesschema-free
Typing infopredefined data types such as float or dateyesyesVector, Numeric and Stringdynamic typing
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.nononono infoingestion from XML files supported
Secondary indexesyestemporal, categoricalnoall fields are automatically indexed
SQL infoSupport of SQLSQL for queryingANSI SQL for query only (using Presto)noRead-only SQL queries, including JOINs
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBCRESTful HTTP APIHTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnononono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedAutomatic shardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Eventual Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights for users can be defined per tableRole based access control and fine grained access rightsAccess rights for users and organizations can be defined via Rockset console
More information provided by the system vendor
Apache DruidGeoSpockMilvusRockset
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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More resources
Apache DruidGeoSpockMilvusRockset
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Imply Announces the Availability of Imply Polaris, a Database-as-a-Service Built from Apache Druid, on Microsoft Azure
26 June 2024, Yahoo Finance

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26 January 2024, Business Wire

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16 May 2018, ExchangeWire

GeoSpock’s extreme-scale data mission in $5.4m funding boost
8 October 2020, Cambridge Independent

CEO Richard Baker explores GeoSpock’s role in posting indexed data onto digital ledger
20 October 2020, CoinGeek

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How NVIDIA GPU Acceleration Supercharged Milvus Vector Database
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OpenAI’s first acquisition is an enterprise data startup
21 June 2024, The Verge

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