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DBMS > Microsoft Azure SQL Database vs. TinkerGraph vs. Vertica vs. Warp 10

System Properties Comparison Microsoft Azure SQL Database vs. TinkerGraph vs. Vertica vs. Warp 10

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTinkerGraph  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionDatabase as a Service offering with high compatibility to Microsoft SQL ServerA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 APICloud 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.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSGraph DBMSRelational DBMS infoColumn orientedTime Series DBMS
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
Score0.13
Rank#345  Overall
#35  Graph DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websiteazure.microsoft.com/­en-us/­products/­azure-sql/­databasetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlinwww.vertica.comwww.warp10.io
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqlvertica.com/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperMicrosoftOpenText infopreviously Micro Focus and Hewlett PackardSenX
Initial release2010200920052015
Current releaseV1212.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoLimited community edition freeOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++Java
Server operating systemshostedLinuxLinux
OS X
Windows
Data schemeyesschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.schema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.no
SQL infoSupport of SQLyesnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.no
APIs and other access methodsADO.NET
JDBC
ODBC
TinkerPop 3ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
HTTP API
Jupyter
WebSocket
Supported programming languages.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Groovy
Java
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresTransact SQLnoyes, PostgreSQL PL/pgSQL, with minor differencesyes infoWarpScript
Triggersyesnoyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning, hierarchical partitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with always 3 replicas availablenoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyes infoRelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesnoyesyes
Durability infoSupport for making data persistentyesoptionalyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Microsoft Azure SQL Database infoformerly SQL AzureTinkerGraphVertica infoOpenText™ Vertica™Warp 10
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...
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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 AzureTinkerGraphVertica infoOpenText™ Vertica™Warp 10
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