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DBMS > AgensGraph vs. AllegroGraph vs. Databricks vs. Microsoft Access vs. SiriDB

System Properties Comparison AgensGraph vs. AllegroGraph vs. Databricks vs. Microsoft Access vs. SiriDB

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAllegroGraph  Xexclude from comparisonDatabricks  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSiriDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHigh performance, persistent RDF store with additional support for Graph DBMSThe 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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Open Source Time Series DBMS
Primary database modelGraph DBMS
Relational DBMS
Document store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Document store
Relational DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score84.24
Rank#14  Overall
#2  Document stores
#9  Relational DBMS
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score0.00
Rank#385  Overall
#40  Time Series DBMS
Websitebitnine.net/­agensgraphallegrograph.comwww.databricks.comwww.microsoft.com/­en-us/­microsoft-365/­accesssiridb.com
Technical documentationbitnine.net/­documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.databricks.comdeveloper.microsoft.com/­en-us/­accessdocs.siridb.com
DeveloperBitnine Global Inc.Franz Inc.DatabricksMicrosoftCesbit
Initial release20162004201319922017
Current release2.1, December 20188.0, December 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercial infoLimited community edition freecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hostedWindows infoNot a real database server, but making use of DLLsLinux
Data schemedepending on used data modelyes infoRDF schemasFlexible Schema (defined schema, partial schema, schema free)yesyes
Typing infopredefined data types such as float or dateyesyesyesyes infoNumeric data
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.nono infobulk load of XML files possibleyesno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSPARQL is used as query languagewith Databricks SQLyes infobut not compliant to any SQL standardno
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesC
Java
JavaScript
Python
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Python
R
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesyes infoJavaScript or Common Lispuser defined functions and aggregatesyes infosince Access 2010 using the ACE-engineno
Triggersnoyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancewith FederationnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationno infoa simple user-level security was built in till version Access 2003simple rights management via user accounts
More information provided by the system vendor
AgensGraphAllegroGraphDatabricksMicrosoft AccessSiriDB
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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