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DBMS > EsgynDB vs. Greenplum vs. Netezza vs. ObjectBox vs. Solr

System Properties Comparison EsgynDB vs. Greenplum vs. Netezza vs. ObjectBox vs. Solr

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGreenplum  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonObjectBox  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Data warehouse and analytics appliance part of IBM PureSystemsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelRelational DBMSRelational DBMSRelational DBMSObject oriented DBMS
Vector DBMS
Search engine
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score8.08
Rank#48  Overall
#31  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score1.29
Rank#166  Overall
#5  Object oriented DBMS
#7  Vector DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Websitewww.esgyn.cngreenplum.orgwww.ibm.com/­products/­netezzagithub.com/­objectbox
objectbox.io
solr.apache.org
Technical documentationdocs.greenplum.orgdocs.objectbox.iosolr.apache.org/­resources.html
DeveloperEsgynPivotal Software Inc.IBMObjectBox LimitedApache Software Foundation
Initial release20152005200020172006
Current release7.0.0, September 20234.0 (May 2024)9.6.1, May 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialBindings are released under Apache 2.0 infoApache License 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC and C++Java
Server operating systemsLinuxLinuxLinux infoincluded in applianceAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyesyesyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes, plus "flex" map-like typesyes 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.noyes infosince Version 4.2noyes
Secondary indexesyesyesyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLyesyesyesnoSolr Parallel SQL Interface
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
JDBC
ODBC
OLE DB
Proprietary native APIJava API
RESTful HTTP/JSON API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
Java
Perl
Python
R
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.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 ProceduresyesyesnoJava plugins
Triggersnoyesnonoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationSource-replica replicationData sync between devices allowing occasional connected databases to work completely offlineyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesnospark-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 integrityyesyesnoyesno
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.nononoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptyesyes
More information provided by the system vendor
EsgynDBGreenplumNetezza infoAlso called PureData System for Analytics by IBMObjectBoxSolr
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