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DBMS > Microsoft Azure Data Explorer vs. Raima Database Manager vs. Snowflake vs. Sphinx vs. Stardog

System Properties Comparison Microsoft Azure Data Explorer vs. Raima Database Manager vs. Snowflake vs. Sphinx vs. Stardog

Editorial information provided by DB-Engines
NameMicrosoft Azure Data Explorer  Xexclude from comparisonRaima Database Manager infoformerly named db_Vista  Xexclude from comparisonSnowflake  Xexclude from comparisonSphinx  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionFully managed big data interactive analytics platformRDBMS with a small footprint, either embedded into an application or used as a database serverCloud-based data warehousing service for structured and semi-structured dataOpen source search engine for searching in data from different sources, e.g. relational databasesEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMS infocolumn orientedRelational DBMS
Time Series DBMS
Relational DBMSSearch engineGraph DBMS
RDF 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
Score3.80
Rank#81  Overall
#43  Relational DBMS
Score0.49
Rank#259  Overall
#121  Relational DBMS
#21  Time Series DBMS
Score130.36
Rank#8  Overall
#5  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websiteazure.microsoft.com/­services/­data-explorerraima.comwww.snowflake.comsphinxsearch.comwww.stardog.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.raima.comdocs.snowflake.net/­manuals/­index.htmlsphinxsearch.com/­docsdocs.stardog.com
DeveloperMicrosoftRaima Inc.Snowflake Computing Inc.Sphinx Technologies Inc.Stardog-Union
Initial release20191984201420012010
Current releasecloud service with continuous releases15, June 20213.5.1, February 20237.3.0, May 2020
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoGPL version 2, commercial licence availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++Java
Server operating systemshostedAndroid
HP-UX
Integrity RTOS
iOS
Linux
OS X
QNX
Solaris
VxWorks
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeFixed schema with schema-less datatypes (dynamic)yesyes infosupport of semi-structured data formats (JSON, XML, Avro)yesschema-free and OWL/RDFS-schema support
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-typesyesyesnoyes
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.yesno infoExporting/Importing of XML structures possibleyesno infoImport/export of XML data possible
Secondary indexesall fields are automatically indexedyesyes infofull-text index on all search fieldsyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLKusto Query Language (KQL), SQL subsetyesyesSQL-like query language (SphinxQL)Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
CLI Client
JDBC
ODBC
Proprietary protocolGraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C
C++
Objective-C
PL/SQL
JavaScript (Node.js)
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresYes, possible languages: KQL, Python, Ryes infobased on the ANSI/ISO SQL Persistent Stored Modules (PSM) specificationuser defined functionsnouser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesno infosimilar concept for controling cloud resourcesnoyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicehorizontal partitioningyesSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replicationyesnoneMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesyesnoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes
User concepts infoAccess controlAzure Active Directory AuthenticationnoUsers with fine-grained authorization concept, user roles and pluggable authenticationnoAccess rights for users and roles
More information provided by the system vendor
Microsoft Azure Data ExplorerRaima Database Manager infoformerly named db_VistaSnowflakeSphinxStardog
Specific characteristicsRaima Database Manager (RDM) is an embedded time-series database optimized to run...
» more
Competitive advantagesDecreased time-to-market Industry-standard interfaces & tools for making your job...
» more
Typical application scenariosTypical use cases include: Internet of Things (IoT) Embedded In-Memory Database Time-Series...
» more
Key customersInfor, ABB, The Boeing Company, BAE Systems, Dow Jones, Dun & Bradstreet, Fujitsu,...
» more
Market metricsOver 30 000 applications developers worldwide have field-tested RDM products More...
» more
Licensing and pricing modelsJust as the technical aspects of Raima Database Manager are flexible, so are the...
» more
News

Raima Unveils RaimaDB 16.0: Elevating Database Performance and User Experience
29 February 2024

Raima Announces Release of Raima Database Manager (RDM) v15, a Powerful Embedded Time Series Database
10 June 2021

Raima Announces Release of Raima Database Manager (RDM) v14.2, a Powerful IoT Edge Embedded Database
8 October 2020

Raima Joins BlackBerry QNX Channel Partner Program to Deliver Safety-Critical and Secure Software Solutions
1 October 2020

Raima Expands Their Reseller Network in Asia
19 May 2020

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Microsoft Azure Data ExplorerRaima Database Manager infoformerly named db_VistaSnowflakeSphinxStardog
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Recent citations in the news

We’re retiring Azure Time Series Insights on 7 July 2024 – transition to Azure Data Explorer | Azure updates
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