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

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

Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFatDB  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 comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAnalytic DBMS for real-time computations and queriesA .NET NoSQL DBMS that can integrate with and extend SQL Server.Performant, 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 PureSystems
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedDocument store
Key-value store
Key-value store
Vector DBMS
Relational DBMSRelational 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
Websitebigobject.iowww.jaguardb.comazure.microsoft.com/­services/­synapse-analyticswww.ibm.com/­products/­netezza
Technical documentationdocs.bigobject.iowww.jaguardb.com/­support.htmldocs.microsoft.com/­azure/­synapse-analytics
DeveloperBigObject, Inc.FatCloudDataJaguar, Inc.MicrosoftIBM
Initial release20152012201520162000
Current release3.3 July 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen Source infoGPL V3.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++ infothe server part. Clients available in other languagesC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
WindowsLinuxhostedLinux infoincluded in appliance
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno infoVia inetgration in SQL ServerA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyesyes
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesC#C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresLuayes infovia applicationsnoTransact SQLyes
Triggersnoyes infovia applicationsnonono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesnonono 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 datanononoACIDACID
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.yesno
User concepts infoAccess controlnono infoCan implement custom security layer via applicationsrights management via user accountsyesUsers with fine-grained authorization concept

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