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DBMS > Databricks vs. Milvus vs. Stardog vs. TempoIQ

System Properties Comparison Databricks vs. Milvus vs. Stardog vs. TempoIQ

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonMilvus  Xexclude from comparisonStardog  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionThe 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 DBMS designed for efficient storage of vector data and vector similarity searchesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelDocument store
Relational DBMS
Vector DBMSGraph DBMS
RDF store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score2.78
Rank#103  Overall
#4  Vector DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitewww.databricks.commilvus.iowww.stardog.comtempoiq.com (offline)
Technical documentationdocs.databricks.commilvus.io/­docs/­overview.mddocs.stardog.com
DeveloperDatabricksStardog-UnionTempoIQ
Initial release2013201920102012
Current release2.4.4, May 20247.3.0, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
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++, GoJava
Server operating systemshostedLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)schema-free and OWL/RDFS-schema supportschema-free
Typing infopredefined data types such as float or dateVector, Numeric and Stringyesyes
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.yesnono infoImport/export of XML data possibleno
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLwith Databricks SQLnoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
HTTP API
Supported programming languagesPython
R
Scala
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnouser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyes infovia event handlersyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.noyesyesno
User concepts infoAccess controlRole based access control and fine grained access rightsAccess rights for users and rolessimple authentication-based access control
More information provided by the system vendor
DatabricksMilvusStardogTempoIQ infoformerly TempoDB
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...
» more
Typical application scenariosRAG: retrieval augmented generation Video media : video understanding, video deduplication....
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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
DatabricksMilvusStardogTempoIQ infoformerly TempoDB
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