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DBMS > Geode vs. gStore vs. Microsoft Azure Data Explorer

System Properties Comparison Geode vs. gStore vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisongStore  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA native Graph DBMS to store and maintain very large RDF datasets.Fully managed big data interactive analytics platform
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMS infocolumn oriented
Secondary database modelsDocument 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
Score1.51
Rank#147  Overall
#25  Key-value stores
Score0.03
Rank#367  Overall
#37  Graph DBMS
#18  RDF stores
Score3.28
Rank#83  Overall
#45  Relational DBMS
Websitegeode.apache.orgen.gstore.cnazure.microsoft.com/­services/­data-explorer
Technical documentationgeode.apache.org/­docsen.gstore.cn/­#/­enDocsdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Microsoft
Initial release200220162019
Current release1.1, February 20171.2, November 2023cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxhosted
Data schemeschema-freeschema-free and OWL/RDFS-schema supportFixed schema with schema-less datatypes (dynamic)
Typing infopredefined data types such as float or dateyesyesyes 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.nonoyes
Secondary indexesnoall fields are automatically indexed
SQL infoSupport of SQLSQL-like query language (OQL)noKusto Query Language (KQL), SQL subset
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
HTTP API
SPARQL 1.1
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
PHP
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresuser defined functionsyesYes, possible languages: KQL, Python, R
Triggersyes infoCache Event Listenersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights per client and object definableUsers, roles and permissions, Role-Based Access Control (RBAC) supportedAzure Active Directory Authentication

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More resources
GeodegStoreMicrosoft Azure Data Explorer
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