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DBMS > BigObject vs. JaguarDB vs. Microsoft Azure Synapse Analytics vs. Netezza vs. Qdrant

System Properties Comparison BigObject vs. JaguarDB vs. Microsoft Azure Synapse Analytics vs. Netezza vs. Qdrant

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonJaguarDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesPerformant, highly scalable DBMS for AI and IoT applicationsElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerData warehouse and analytics appliance part of IBM PureSystemsA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value store
Vector DBMS
Relational DBMSRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websitebigobject.iowww.jaguardb.comazure.microsoft.com/­services/­synapse-analyticswww.ibm.com/­products/­netezzagithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.bigobject.iowww.jaguardb.com/­support.htmldocs.microsoft.com/­azure/­synapse-analyticsqdrant.tech/­documentation
DeveloperBigObject, Inc.DataJaguar, Inc.MicrosoftIBMQdrant
Initial release20152015201620002021
Current release3.3 July 2023
License infoCommercial or Open Sourcecommercial infofree community edition availableOpen Source infoGPL V3.0commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ infothe server part. Clients available in other languagesC++Rust
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
LinuxhostedLinux infoincluded in applianceDocker
Linux
macOS
Windows
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesNumbers, 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.nononono
Secondary indexesyesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLSQL-like DML and DDL statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresLuanoTransact SQLyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesSource-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual ConsistencyImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlnorights management via user accountsyesUsers with fine-grained authorization conceptKey-based authentication

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More resources
BigObjectJaguarDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBMQdrant
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