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

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

Editorial information provided by DB-Engines
NameGBase  Xexclude from comparisonGreenplum  Xexclude from comparisonMemgraph  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonTrino  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 Neo4jFully managed big data interactive analytics platformFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMSRelational DBMSGraph DBMSRelational DBMS infocolumn orientedRelational DBMS
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
Document store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websitewww.gbase.cngreenplum.orgmemgraph.comazure.microsoft.com/­services/­data-explorertrino.io
Technical documentationdocs.greenplum.orgmemgraph.com/­docsdocs.microsoft.com/­en-us/­azure/­data-explorertrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterFacebookGitHubDiscordLinkedInTwitterYouTubeGitHub
DeveloperGeneral Data Technology Co., Ltd.Pivotal Software Inc.Memgraph LtdMicrosoftTrino Software Foundation
Initial release20042005201720192012 info2020 rebranded from PrestoSQL
Current releaseGBase 8a, GBase 8s, GBase 8c7.0.0, September 2023cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoBSL 1.1; commercial license for enterprise edition availablecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC, Java, PythonC and C++Java
Server operating systemsLinuxLinuxLinuxhostedLinux
macOS infofor devlopment
Data schemeyesyesschema-free and schema-optionalFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyesyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes
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 4.2noyesno
Secondary indexesyesyesall fields are automatically indexeddepending on connected data-source
SQL infoSupport of SQLStandard with numerous extensionsyesnoKusto Query Language (KQL), SQL subsetyes
APIs and other access methodsADO.NET
C API
JDBC
ODBC
JDBC
ODBC
Bolt protocol
Cypher query language
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languagesC#C
Java
Perl
Python
R
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesYes, possible languages: KQL, Python, Ryes, depending on connected data-source
Triggersyesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding infodynamic graph partitioningSharding infoImplicit feature of the cloud servicedepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication using RAFTyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.depending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
depending on connected data-source
Foreign keys infoReferential integrityyesyesyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infowith snapshot isolationnodepending on connected data-source
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 changesyesdepending on connected data-source
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 permissionsAzure Active Directory AuthenticationSQL standard access control
More information provided by the system vendor
GBaseGreenplumMemgraphMicrosoft Azure Data ExplorerTrino
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Trino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
High performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more
Trino is an open source project and usage is therefore free. Commercial offerings...
» more
News

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22 May 2024

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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
GBaseGreenplumMemgraphMicrosoft Azure Data ExplorerTrino
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