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DBMS > Dgraph vs. GBase vs. Milvus vs. ObjectBox vs. Teradata

System Properties Comparison Dgraph vs. GBase vs. Milvus vs. ObjectBox vs. Teradata

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGBase  Xexclude from comparisonMilvus  Xexclude from comparisonObjectBox  Xexclude from comparisonTeradata  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.A DBMS designed for efficient storage of vector data and vector similarity searchesExtremely fast embedded database for small devices, IoT and MobileA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMSRelational DBMSVector DBMSObject oriented DBMSRelational DBMS
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score2.31
Rank#113  Overall
#3  Vector DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score45.33
Rank#21  Overall
#15  Relational DBMS
Websitedgraph.iowww.gbase.cnmilvus.ioobjectbox.iowww.teradata.com
Technical documentationdgraph.io/­docsmilvus.io/­docs/­overview.mddocs.objectbox.iodocs.teradata.com
DeveloperDgraph Labs, Inc.General Data Technology Co., Ltd.ObjectBox LimitedTeradata
Initial release20162004201920171984
Current releaseGBase 8a, GBase 8s, GBase 8c2.3.4, January 2024Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercial
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 languageGoC, Java, PythonC++, GoC and C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
macOS info10.14 or later
Windows infowith WSL 2 enabled
Android
iOS
Linux
macOS
Windows
hosted
Linux
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesVector, 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.noyesnonoyes
Secondary indexesyesyesnoyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoStandard with numerous extensionsnonoyes infoSQL 2016 + extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
C API
JDBC
ODBC
RESTful HTTP APIProprietary native API.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresnouser defined functionsnonoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via Raftyesonline/offline synchronization between client and serverMulti-source replication
Source-replica replication
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
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
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.yesnoyes
User concepts infoAccess controlno infoPlanned for future releasesyesRole based access control and fine grained access rightsyesfine grained access rights according to SQL-standard
More information provided by the system vendor
DgraphGBaseMilvusObjectBoxTeradata
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
News

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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
DgraphGBaseMilvusObjectBoxTeradata
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