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DBMS > EsgynDB vs. Immudb vs. Microsoft Azure Synapse Analytics vs. Netezza

System Properties Comparison EsgynDB vs. Immudb vs. Microsoft Azure Synapse Analytics vs. Netezza

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonImmudb  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
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score0.25
Rank#307  Overall
#43  Key-value stores
Score22.71
Rank#30  Overall
#18  Relational DBMS
Score10.18
Rank#46  Overall
#29  Relational DBMS
Websitewww.esgyn.cngithub.com/­codenotary/­immudb
immudb.io
azure.microsoft.com/­services/­synapse-analyticswww.ibm.com/­products/­netezza
Technical documentationdocs.immudb.iodocs.microsoft.com/­azure/­synapse-analytics
DeveloperEsgynCodenotaryMicrosoftIBM
Initial release2015202020162000
Current release1.2.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercial
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++, JavaGoC++
Server operating systemsLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
hostedLinux infoincluded in appliance
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like syntaxyesyes
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
ADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
Python
C#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresJava Stored ProceduresnoTransact SQLyes
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding, horizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono 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 dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyesUsers with fine-grained authorization concept

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