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DBMS > EsgynDB vs. Hazelcast vs. Immudb vs. Netezza vs. openGauss

System Properties Comparison EsgynDB vs. Hazelcast vs. Immudb vs. Netezza vs. openGauss

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHazelcast  Xexclude from comparisonImmudb  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA widely adopted in-memory data gridAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Data warehouse and analytics appliance part of IBM PureSystemsAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSKey-value storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.24
Rank#305  Overall
#43  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websitewww.esgyn.cnhazelcast.comgithub.com/­codenotary/­immudb
immudb.io
www.ibm.com/­products/­netezzagitee.com/­opengauss
opengauss.org
Technical documentationhazelcast.org/­imdg/­docsdocs.immudb.iodocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperEsgynHazelcastCodenotaryIBMHuawei and openGauss community
Initial release20152008202020002019
Current release5.3.6, November 20231.2.3, April 20223.0, March 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaGoC, C++, Java
Server operating systemsLinuxAll OS with a Java VMBSD
Linux
macOS
Solaris
Windows
z/OS
Linux infoincluded in applianceLinux
Data schemeyesschema-freeschema-freeyesyes
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.noyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLyesSQL-like query languageSQL-like syntaxyesANSI SQL 2011
APIs and other access methodsADO.NET
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC protocol
PostgreSQL wire protocol
JDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Go
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Java
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoEvent Listeners, Executor Servicesnoyesyes
Triggersnoyes infoEventsnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyes infoReplicated MapSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlUsers with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standard

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More resources
EsgynDBHazelcastImmudbNetezza infoAlso called PureData System for Analytics by IBMopenGauss
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