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DBMS > AllegroGraph vs. Dgraph vs. Milvus vs. Spark SQL vs. Transbase

System Properties Comparison AllegroGraph vs. Dgraph vs. Milvus vs. Spark SQL vs. Transbase

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDgraph  Xexclude from comparisonMilvus  Xexclude from comparisonSpark SQL  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDistributed and scalable native Graph DBMSA DBMS designed for efficient storage of vector data and vector similarity searchesSpark SQL is a component on top of 'Spark Core' for structured data processingA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Graph DBMSMultivalue DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.24
Rank#156  Overall
#27  Document stores
#14  Graph DBMS
#7  RDF stores
Score1.51
Rank#139  Overall
#11  Graph DBMS
Score0.38
Rank#257  Overall
#10  Multivalue DBMS
Score22.94
Rank#34  Overall
#20  Relational DBMS
Score0.08
Rank#310  Overall
#139  Relational DBMS
Websiteallegrograph.comdgraph.iomilvus.iospark.apache.org/­sqlwww.transaction.de/­en/­solutions/­transbase-resource-optimized-high-performance-database
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldgraph.io/­docsmilvus.io/­docs/­overview.mdspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.transaction.de/­en/­transbase-inside
DeveloperFranz Inc.Dgraph Labs, Inc.Apache Software FoundationTransaction Software GmbH
Initial release20042016201920141987
Current release7.2, October 20211.0, March 20213.2.0, October 2021Transbase 8.4, September 2020
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infofree development license
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.
Implementation languageGoC++ScalaC and C++
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
LinuxLinux
OS X
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeyes infoRDF schemasschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.no infobulk load of XML files possiblenononono
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like DML and DDL statementsyes
APIs and other access methodsRESTful HTTP API
SPARQL
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
RESTful HTTP APIJDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Go
Java
Python
Java
Python
R
Scala
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnononoyes
Triggersyesnononoyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationyesShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication via RaftnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoyes
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.nononono
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationno infoPlanned for future releasesnonofine grained access rights according to SQL-standard
More information provided by the system vendor
AllegroGraphDgraphMilvusSpark SQLTransbase
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Horizontally scalable transactional graph database with fast arbitrary-depth joins...
» more
News

Authentic Meets Artificial – The New Intelligence – DM Radio Broadcast
13 January 2022

Embedding Gruff In a Web Page
10 January 2022

AllegroGraph Named 2022 “Trend Setter”
3 January 2022

Predictions: Quantum AI, Graph Neural Networks, and Personal Data Pods
16 December 2021

Franz Inc. Announces AllegroGraph Has No Log4j Security Exposure
14 December 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesSQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
AllegroGraphDgraphMilvusSpark SQLTransbase
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