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DBMS > Graph Engine vs. Hazelcast vs. Microsoft Access vs. Prometheus

System Properties Comparison Graph Engine vs. Hazelcast vs. Microsoft Access vs. Prometheus

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Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHazelcast  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPrometheus  Xexclude from comparison
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA widely adopted in-memory data gridMicrosoft 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 and monitoring system
Primary database modelGraph DBMS
Key-value store
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Websitewww.graphengine.iohazelcast.comwww.microsoft.com/­en-us/­microsoft-365/­accessprometheus.io
Technical documentationwww.graphengine.io/­docs/­manualhazelcast.org/­imdg/­docsdeveloper.microsoft.com/­en-us/­accessprometheus.io/­docs
DeveloperMicrosoftHazelcastMicrosoft
Initial release2010200819922015
Current release5.3.6, November 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; commercial licenses availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaC++Go
Server operating systems.NETAll OS with a Java VMWindows infoNot a real database server, but making use of DLLsLinux
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data only
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 infothe object must implement a serialization strategyno infoImport of XML data possible
Secondary indexesyesyesno
SQL infoSupport of SQLnoSQL-like query languageyes infobut not compliant to any SQL standardno
APIs and other access methodsRESTful HTTP APIJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP/JSON API
Supported programming languagesC#
C++
F#
Visual Basic
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresyesyes infoEvent Listeners, Executor Servicesyes infosince Access 2010 using the ACE-engineno
Triggersnoyes infoEventsyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapnoneyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithmnone
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitedACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes 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.yesyesno
User concepts infoAccess controlRole-based access controlno infoa simple user-level security was built in till version Access 2003no

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More resources
Graph Engine infoformer name: TrinityHazelcastMicrosoft AccessPrometheus
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