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DBMS > Dolt vs. Heroic vs. HugeGraph vs. Microsoft Azure Data Explorer

System Properties Comparison Dolt vs. Heroic vs. HugeGraph vs. Microsoft Azure Data Explorer

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHeroic  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA fast-speed and highly-scalable Graph DBMSFully managed big data interactive analytics platform
Primary database modelRelational DBMSTime Series DBMSGraph DBMSRelational DBMS infocolumn oriented
Secondary database modelsDocument storeDocument 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
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.38
Rank#77  Overall
#41  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­spotify/­heroicgithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­services/­data-explorer
Technical documentationdocs.dolthub.comspotify.github.io/­heroichugegraph.apache.org/­docsdocs.microsoft.com/­en-us/­azure/­data-explorer
DeveloperDoltHub IncSpotifyBaiduMicrosoft
Initial release2018201420182019
Current release0.9cloud service with continuous releases
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJava
Server operating systemsLinux
macOS
Windows
Linux
macOS
Unix
hosted
Data schemeyesschema-freeyesFixed schema with schema-less datatypes (dynamic)
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-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 indexesyesyes infovia Elasticsearchyes infoalso supports composite index and range indexall fields are automatically indexed
SQL infoSupport of SQLyesnonoKusto Query Language (KQL), SQL subset
APIs and other access methodsCLI Client
HTTP REST
HQL (Heroic Query Language, a JSON-based language)
HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Groovy
Java
Python
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoasynchronous Gremlin script jobsYes, possible languages: KQL, Python, R
Triggersyesnonoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicy
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yesyes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkSpark connector (open source): github.com/­Azure/­azure-kusto-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Eventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.noyesno
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupUsers, roles and permissionsAzure Active Directory Authentication

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More resources
DoltHeroicHugeGraphMicrosoft Azure Data Explorer
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