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DBMS > EsgynDB vs. Galaxybase vs. Immudb vs. Microsoft Azure Data Explorer

System Properties Comparison EsgynDB vs. Galaxybase vs. Immudb vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGalaxybase  Xexclude from comparisonImmudb  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable, ACID-compliant native distributed parallel graph platformAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Fully managed big data interactive analytics platform
Primary database modelRelational DBMSGraph DBMSKey-value storeRelational DBMS infocolumn oriented
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
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score0.07
Rank#377  Overall
#40  Graph DBMS
Score0.31
Rank#295  Overall
#42  Key-value stores
Score3.80
Rank#81  Overall
#43  Relational DBMS
Websitewww.esgyn.cngalaxybase.comgithub.com/­codenotary/­immudb
immudb.io
azure.microsoft.com/­services/­data-explorer
Technical documentationdocs.immudb.iodocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperEsgynChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司CodenotaryMicrosoft
Initial release2015201720202019
Current releaseNov 20, November 20211.2.3, April 2022cloud service with continuous releases
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaC and JavaGo
Server operating systemsLinuxLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
hosted
Data schemeyesStrong typed schemaschema-freeFixed 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.nononoyes
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesnoSQL-like syntaxKusto Query Language (KQL), SQL subset
APIs and other access methodsADO.NET
JDBC
ODBC
Browser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
gRPC protocol
PostgreSQL wire protocol
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetGo
Java
Python
.Net
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresJava Stored Proceduresuser defined procedures and functionsnoYes, possible languages: KQL, Python, R
Triggersnonoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDno
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.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlAzure Active Directory Authentication

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More resources
EsgynDBGalaxybaseImmudbMicrosoft Azure Data Explorer
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