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DBMS > GridGain vs. LMDB vs. Microsoft Azure Data Explorer vs. STSdb

System Properties Comparison GridGain vs. LMDB vs. Microsoft Azure Data Explorer vs. STSdb

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Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLMDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA high performant, light-weight, embedded key-value database libraryFully managed big data interactive analytics platformKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelColumnar
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeRelational DBMS infocolumn orientedKey-value store
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
Score1.48
Rank#150  Overall
#1  Columnar
#26  Key-value stores
#2  Object oriented DBMS
#69  Relational DBMS
Score1.94
Rank#120  Overall
#20  Key-value stores
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score0.03
Rank#365  Overall
#54  Key-value stores
Websitewww.gridgain.comwww.symas.com/­symas-embedded-database-lmdbazure.microsoft.com/­services/­data-explorergithub.com/­STSSoft/­STSdb4
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.lmdb.tech/­docdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperGridGain Systems, Inc.SymasMicrosoftSTS Soft SC
Initial release2007201120192011
Current releaseGridGain 8.5.10.9.32, January 2024cloud service with continuous releases4.0.8, September 2015
License infoCommercial or Open Sourcecommercial, open sourceOpen SourcecommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .Net, Python, REST, SQLCC#
Server operating systemsLinux
OS X
Solaris
Windows
z/OS
Linux
Unix
Windows
hostedWindows
Data schemeyesschema-freeFixed schema with schema-less datatypes (dynamic)yes
Typing infopredefined data types such as float or dateyesyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyes infoprimitive types and user defined types (classes)
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.yesnoyes
Secondary indexesyesnoall fields are automatically indexedno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoKusto Query Language (KQL), SQL subsetno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C#
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noYes, possible languages: KQL, Python, Rno
Triggersyes (cache interceptors and events)noyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneyes 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)noSpark connector (open source): github.com/­Azure/­azure-kusto-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlRole-based access control
Security Hooks for custom implementations
noAzure Active Directory Authenticationno

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More resources
GridGainLMDBMicrosoft Azure Data ExplorerSTSdb
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