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DBMS > Galaxybase vs. IBM Db2 vs. Microsoft Azure Data Explorer vs. RRDtool vs. Solr

System Properties Comparison Galaxybase vs. IBM Db2 vs. Microsoft Azure Data Explorer vs. RRDtool vs. Solr

Editorial information provided by DB-Engines
NameGalaxybase  Xexclude from comparisonIBM Db2 infoformerly named DB2 or IBM Database 2  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonRRDtool  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionScalable, ACID-compliant native distributed parallel graph platformCommon in IBM host environments, 2 different versions for host and Windows/LinuxFully managed big data interactive analytics platformIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.A widely used distributed, scalable search engine based on Apache Lucene
Primary database modelGraph DBMSRelational DBMS infoSince Version 10.5 support for JSON/BSON documents compatible with MongoDBRelational DBMS infocolumn orientedTime Series DBMSSearch engine
Secondary database modelsDocument store
RDF store infoin Db2 LUW (Linux, Unix, Windows)
Spatial DBMS infowith Db2 Spatial Extender
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
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score128.46
Rank#8  Overall
#5  Relational DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score1.87
Rank#136  Overall
#11  Time Series DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitegalaxybase.comwww.ibm.com/­products/­db2azure.microsoft.com/­services/­data-exploreross.oetiker.ch/­rrdtoolsolr.apache.org
Technical documentationwww.ibm.com/­docs/­en/­db2docs.microsoft.com/­en-us/­azure/­data-exploreross.oetiker.ch/­rrdtool/­docsolr.apache.org/­resources.html
DeveloperChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司IBMMicrosoftTobias OetikerApache Software Foundation
Initial release20171983 infohost version201919992006
Current releaseNov 20, November 202112.1, October 2016cloud service with continuous releases1.8.0, 20229.6.0, April 2024
License infoCommercial or Open Sourcecommercialcommercial infofree version is availablecommercialOpen Source infoGPL V2 and FLOSSOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and JavaC and C++C infoImplementations in Java (e.g. RRD4J) and C# availableJava
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
z/OS
hostedHP-UX
Linux
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeStrong typed schemayesFixed schema with schema-less datatypes (dynamic)yesyes infoDynamic Fields enables on-the-fly addition of new fields
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-typesNumeric data onlyyes infosupports customizable data types and automatic typing
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.noyesno infoExporting into and restoring from XML files possibleyes
Secondary indexesyesyesall fields are automatically indexednoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesKusto Query Language (KQL), SQL subsetnoSolr Parallel SQL Interface
APIs and other access methodsBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
ADO.NET
JDBC
JSON style queries infoMongoDB compatible
ODBC
XQuery
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
in-process shared library
Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined procedures and functionsyesYes, possible languages: KQL, Python, RnoJava plugins
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoonly with Windows/Unix/Linux VersionSharding infoImplicit feature of the cloud servicenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infowith separate tools (MQ, InfoSphere)yes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.noneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoSpark connector (open source): github.com/­Azure/­azure-kusto-sparknospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
noneEventual Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardAzure Active Directory Authenticationnoyes

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More resources
GalaxybaseIBM Db2 infoformerly named DB2 or IBM Database 2Microsoft Azure Data ExplorerRRDtoolSolr
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