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DBMS > GBase vs. Greenplum vs. Memgraph vs. Microsoft Access vs. Microsoft Azure Data Explorer

System Properties Comparison GBase vs. Greenplum vs. Memgraph vs. Microsoft Access vs. Microsoft Azure Data Explorer

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGreenplum  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Analytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.An open source graph database built for real-time streaming and compatible with Neo4jMicrosoft 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.)Fully managed big data interactive analytics platform
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMSRelational DBMS infocolumn oriented
Secondary database modelsDocument store
Spatial DBMS
Document store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score3.19
Rank#94  Overall
#8  Graph DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Websitewww.gbase.cngreenplum.orgmemgraph.comwww.microsoft.com/­en-us/­microsoft-365/­accessazure.microsoft.com/­services/­data-explorer
Technical documentationdocs.greenplum.orgmemgraph.com/­docsdeveloper.microsoft.com/­en-us/­accessdocs.microsoft.com/­en-us/­azure/­data-explorer
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperGeneral Data Technology Co., Ltd.Pivotal Software Inc.Memgraph LtdMicrosoftMicrosoft
Initial release20042005201719922019
Current releaseGBase 8a, GBase 8s, GBase 8c7.0.0, September 20231902 (16.0.11328.20222), March 2019cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, Java, PythonC and C++C++
Server operating systemsLinuxLinuxLinuxWindows infoNot a real database server, but making use of DLLshosted
Data schemeyesyesschema-free and schema-optionalyesFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types
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.yesyes infosince Version 4.2noyes
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLStandard with numerous extensionsyesnoyes infobut not compliant to any SQL standardKusto Query Language (KQL), SQL subset
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Bolt protocol
Cypher query language
ADO.NET
DAO
ODBC
OLE DB
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesC#C
Java
Perl
Python
R
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresuser defined functionsyesyes infosince Access 2010 using the ACE-engineYes, possible languages: KQL, Python, R
Triggersyesyesyes infosince Access 2010 using the ACE-engineyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infodynamic graph partitioningnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication using RAFTnoneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infowith snapshot isolationACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyes 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.noyesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardUsers, roles and permissionsno infoa simple user-level security was built in till version Access 2003Azure Active Directory Authentication
More information provided by the system vendor
GBaseGreenplumMemgraphMicrosoft AccessMicrosoft Azure Data Explorer
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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GBaseGreenplumMemgraphMicrosoft AccessMicrosoft Azure Data Explorer
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