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DBMS > Microsoft Azure SQL Database vs. Sadas Engine vs. Sphinx vs. Vertica vs. YTsaurus

System Properties Comparison Microsoft Azure SQL Database vs. Sadas Engine vs. Sphinx vs. Vertica vs. YTsaurus

Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonSadas Engine  Xexclude from comparisonSphinx  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonYTsaurus  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsOpen source search engine for searching in data from different sources, e.g. relational databasesCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.YTsaurus is an open source platform for distributed storage and processing.
Primary database modelRelational DBMSRelational DBMSSearch engineRelational DBMS infoColumn orientedDocument store
Key-value store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.07
Rank#373  Overall
#157  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score0.21
Rank#324  Overall
#45  Document stores
#48  Key-value stores
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.sadasengine.comsphinxsearch.comwww.vertica.comytsaurus.tech
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationsphinxsearch.com/­docsvertica.com/­documentationytsaurus.tech/­docs/­en
DeveloperMicrosoftSADAS s.r.l.Sphinx Technologies Inc.OpenText infopreviously Micro Focus and Hewlett PackardYandex
Initial release20102006200120052023
Current releaseV128.03.5.1, February 202312.0.3, January 2023
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoGPL version 2, commercial licence availablecommercial infoLimited community edition freeOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++C++C++C++
Server operating systemshostedAIX
Linux
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
LinuxUbuntu
Data schemeyesyesyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 indexesyesyesyes infofull-text index on all search fieldsNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLyesyesSQL-like query language (SphinxQL)Full 1999 standard plus machine learning, time series and geospatial. Over 650 functions.YQL, an SQL-based language, is supported
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
Proprietary protocolADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Groovy
Java
PHP
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresTransact SQLnonoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supportedhorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availablenonenoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles according to SQL-standardnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashAccess Control Lists
More information provided by the system vendor
Microsoft Azure SQL Database infoformerly SQL AzureSadas EngineSphinxVertica infoOpenText™ Vertica™YTsaurus
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
Microsoft Azure SQL Database infoformerly SQL AzureSadas EngineSphinxVertica infoOpenText™ Vertica™YTsaurus
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