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DBMS > Microsoft Azure Data Explorer vs. RavenDB vs. SWC-DB vs. Transbase vs. Trino

System Properties Comparison Microsoft Azure Data Explorer vs. RavenDB vs. SWC-DB vs. Transbase vs. Trino

Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonRavenDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTransbase  Xexclude from comparisonTrino  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA high performance, scalable Wide Column DBMSA resource-optimized, high-performance, universally applicable RDBMSFast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQL
Primary database modelRelational DBMS infocolumn orientedDocument storeWide column storeRelational DBMSRelational DBMS
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
Graph DBMS
Spatial DBMS
Time Series DBMS
Time Series DBMSDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.38
Rank#77  Overall
#41  Relational DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Score0.01
Rank#376  Overall
#13  Wide column stores
Score0.11
Rank#341  Overall
#150  Relational DBMS
Score5.00
Rank#66  Overall
#36  Relational DBMS
Websiteazure.microsoft.com/­services/­data-explorerravendb.netgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.transaction.de/­en/­products/­transbase.htmltrino.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerravendb.net/­docswww.transaction.de/­en/­products/­transbase/­features.htmltrino.io/­broadcast
trino.io/­docs/­current
Social network pagesLinkedInTwitterYouTubeGitHub
DeveloperMicrosoftHibernating RhinosAlex KashirinTransaction Software GmbHTrino Software Foundation
Initial release20192010202019872012 info2020 rebranded from PrestoSQL
Current releasecloud service with continuous releases5.4, July 20220.5, April 2021Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3commercial infofree development licenseOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
Implementation languageC#C++C and C++Java
Server operating systemshostedLinux
macOS
Raspberry Pi
Windows
LinuxFreeBSD
Linux
macOS
Solaris
Windows
Linux
macOS infofor devlopment
Data schemeFixed schema with schema-less datatypes (dynamic)schema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesnoyesyes
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.yesnonono
Secondary indexesall fields are automatically indexedyesyesdepending on connected data-source
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetSQL-like query language (RQL)SQL-like query languageyesyes
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Proprietary protocol
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
JDBC
RESTful HTTP API
Trino CLI
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Ryesnoyesyes, depending on connected data-source
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShardingdepending on connected data-source
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replicationSource-replica replicationdepending on connected data-source
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.Immediate ConsistencyImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID, Cluster-wide transaction availableyesdepending on connected data-source
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesdepending on connected data-source
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlAzure Active Directory AuthenticationAuthorization levels configured per client per databasefine grained access rights according to SQL-standardSQL standard access control
More information provided by the system vendor
Microsoft Azure Data ExplorerRavenDBSWC-DB infoSuper Wide Column DatabaseTransbaseTrino
Specific characteristicsTrino is the fastest open source, massively parallel processing SQL query engine...
» more
Competitive advantagesHigh performance analtyics and data processing of very large data sets Powerful ANSI...
» more
Typical application scenariosPerformant analytics query engine for data warehouses, data lakes, and data lakehouses...
» more
Key customersTrino is widely adopted across the globe as freely-available open source software....
» more
Market metrics33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» more
Licensing and pricing modelsTrino is an open source project and usage is therefore free. Commercial offerings...
» more
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More resources
Microsoft Azure Data ExplorerRavenDBSWC-DB infoSuper Wide Column DatabaseTransbaseTrino
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