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DBMS > EsgynDB vs. Immudb vs. Kingbase vs. Netezza vs. Solr

System Properties Comparison EsgynDB vs. Immudb vs. Kingbase vs. Netezza vs. Solr

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonImmudb  Xexclude from comparisonKingbase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSolr  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.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Data warehouse and analytics appliance part of IBM PureSystemsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.24
Rank#305  Overall
#43  Key-value stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitewww.esgyn.cngithub.com/­codenotary/­immudb
immudb.io
www.kingbase.com.cnwww.ibm.com/­products/­netezzasolr.apache.org
Technical documentationdocs.immudb.iosolr.apache.org/­resources.html
DeveloperEsgynCodenotaryBeiJing KINGBASE Information technologies inc.IBMApache Software Foundation
Initial release20152020199920002006
Current release1.2.3, April 2022V8.0, August 20219.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialcommercialOpen Source infoApache Version 2
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++, JavaGoC and JavaJava
Server operating systemsLinuxBSD
Linux
macOS
Solaris
Windows
z/OS
Linux
Windows
Linux infoincluded in applianceAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesschema-freeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typing
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.nonoyesyes
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesSQL-like syntaxStandard with numerous extensionsyesSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC protocol
PostgreSQL wire protocol
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
ODBC
OLE DB
Java API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresnouser defined functionsyesJava plugins
Triggersnonoyesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersyesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDoptimistic locking
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptyes

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More resources
EsgynDBImmudbKingbaseNetezza infoAlso called PureData System for Analytics by IBMSolr
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