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DBMS > FoundationDB vs. Milvus vs. Postgres-XL vs. Stardog vs. Teradata

System Properties Comparison FoundationDB vs. Milvus vs. Postgres-XL vs. Stardog vs. Teradata

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonMilvus  Xexclude from comparisonPostgres-XL  Xexclude from comparisonStardog  Xexclude from comparisonTeradata  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.A DBMS designed for efficient storage of vector data and vector similarity searchesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Vector DBMSRelational DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitegithub.com/­apple/­foundationdbmilvus.iowww.postgres-xl.orgwww.stardog.comwww.teradata.com
Technical documentationapple.github.io/­foundationdbmilvus.io/­docs/­overview.mdwww.postgres-xl.org/­documentationdocs.stardog.comdocs.teradata.com
DeveloperFoundationDBStardog-UnionTeradata
Initial release201320192014 infosince 2012, originally named StormDB20101984
Current release6.2.28, November 20202.3.4, January 202410 R1, October 20187.3.0, May 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoMozilla public licensecommercial 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 servicenonononono
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++C++, GoCJava
Server operating systemsLinux
OS X
Windows
Linux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Linux
macOS
Linux
macOS
Windows
hosted
Linux
Data schemeschema-free infosome layers support schemasyesschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateno infosome layers support typingVector, Numeric and Stringyesyesyes
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.noyes infoXML type, but no XML query functionalityno infoImport/export of XML data possibleyes
Secondary indexesnonoyesyes infosupports real-time indexing in full-text and geospatialyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLsupported in specific SQL layer onlynoyes infodistributed, parallel query executionYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infoSQL 2016 + extensions
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresin SQL-layer onlynouser defined functionsuser defined functions and aggregates, HTTP Server extensions in Javayes infoUDFs, stored procedures, table functions in parallel
Triggersnonoyesyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyBounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityin SQL-layer onlynoyesyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoMVCCACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlnoRole based access control and fine grained access rightsfine grained access rights according to SQL-standardAccess rights for users and rolesfine grained access rights according to SQL-standard
More information provided by the system vendor
FoundationDBMilvusPostgres-XLStardogTeradata
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
FoundationDBMilvusPostgres-XLStardogTeradata
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