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DBMS > GridGain vs. H2GIS vs. Interbase vs. Microsoft Azure Data Explorer vs. TinkerGraph

System Properties Comparison GridGain vs. H2GIS vs. Interbase vs. Microsoft Azure Data Explorer vs. TinkerGraph

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonH2GIS  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteSpatial extension of H2Light-weight proven RDBMS infooriginally from BorlandFully managed big data interactive analytics platformA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelKey-value store
Relational DBMS
Spatial DBMSRelational DBMSRelational DBMS infocolumn orientedGraph DBMS
Secondary database modelsRelational DBMSDocument 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
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.08
Rank#368  Overall
#7  Spatial DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websitewww.gridgain.comwww.h2gis.orgwww.embarcadero.com/­products/­interbaseazure.microsoft.com/­services/­data-explorertinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.h2gis.org/­docs/­homedocs.embarcadero.com/­products/­interbasedocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperGridGain Systems, Inc.CNRSEmbarcaderoMicrosoft
Initial release20072013198420192009
Current releaseGridGain 8.5.1InterBase 2020, December 2019cloud service with continuous releases
License infoCommercial or Open SourcecommercialOpen Source infoLGPL 3.0commercialcommercialOpen Source infoApache 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.
Implementation languageJava, C++, .NetJavaCJava
Server operating systemsLinux
OS X
Solaris
Windows
Android
iOS
Linux
OS X
Windows
hosted
Data schemeyesyesyesFixed schema with schema-less datatypes (dynamic)schema-free
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.yesnono infoexport as XML data possibleyesno
Secondary indexesyesyesyesall fields are automatically indexedno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyesKusto Query Language (KQL), SQL subsetno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
ODBC
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
TinkerPop 3
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Java.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Groovy
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yes infobased on H2yes infoInterbase procedure and trigger languageYes, possible languages: KQL, Python, Rno
Triggersyes (cache interceptors and events)yesyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infobased on H2Interbase Change Viewsyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoSpark 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
none
Foreign keys infoReferential integritynoyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yes infoMultiversion concurreny controlyesno
Durability infoSupport for making data persistentyesyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesnoyes
User concepts infoAccess controlSecurity Hooks for custom implementationsyes infobased on H2fine grained access rights according to SQL-standardAzure Active Directory Authenticationno

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More resources
GridGainH2GISInterbaseMicrosoft Azure Data ExplorerTinkerGraph
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