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DBMS > BigObject vs. eXtremeDB vs. Microsoft Azure SQL Database vs. Qdrant

System Properties Comparison BigObject vs. eXtremeDB vs. Microsoft Azure SQL Database vs. Qdrant

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesNatively in-memory DBMS with options for persistency, high-availability and clusteringDatabase as a Service offering with high compatibility to Microsoft SQL ServerA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMS
Time Series DBMS
Relational DBMSVector DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score0.80
Rank#214  Overall
#99  Relational DBMS
#18  Time Series DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score1.28
Rank#167  Overall
#6  Vector DBMS
Websitebigobject.iowww.mcobject.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasegithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.bigobject.iowww.mcobject.com/­docs/­extremedb.htmdocs.microsoft.com/­en-us/­azure/­azure-sqlqdrant.tech/­documentation
DeveloperBigObject, Inc.McObjectMicrosoftQdrant
Initial release2015200120102021
Current release8.2, 2021V12
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++Rust
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
AIX
HP-UX
Linux
macOS
Solaris
Windows
hostedDocker
Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumbers, Strings, Geo, Boolean
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.nono infosupport of XML interfaces availableyesno
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith the option: eXtremeSQLyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresLuayesTransact SQL
Triggersnoyes infoby defining eventsyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
yes, with always 3 replicas availableCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardKey-based authentication
More information provided by the system vendor
BigObjecteXtremeDBMicrosoft Azure SQL Database infoformerly SQL AzureQdrant
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
BigObjecteXtremeDBMicrosoft Azure SQL Database infoformerly SQL AzureQdrant
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