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DBMS > EsgynDB vs. Netezza vs. Transwarp Hippo vs. Transwarp StellarDB

System Properties Comparison EsgynDB vs. Netezza vs. Transwarp Hippo vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTranswarp Hippo  Xexclude from comparisonTranswarp StellarDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionData warehouse and analytics appliance part of IBM PureSystemsCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasetsA distributed graph DBMS built for enterprise-level graph applications
Primary database modelRelational DBMSRelational DBMSVector DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.05
Rank#386  Overall
#16  Vector DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.esgyn.cnwww.ibm.com/­products/­netezzawww.transwarp.cn/­en/­subproduct/­hippowww.transwarp.cn/­en/­product/­stellardb
DeveloperEsgynIBMTranswarp
Initial release201520002023
Current release1.0, May 2023
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++
Server operating systemsLinuxLinux infoincluded in applianceLinux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyesVector, Numeric and String
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.nono
Secondary indexesyesyesno
SQL infoSupport of SQLyesyesnoSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
RESTful HTTP APIOpenCypher
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C++
Fortran
Java
Lua
Perl
Python
R
C++
Java
Python
Server-side scripts infoStored proceduresJava Stored Proceduresyesno
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptRole based access control and fine grained access rightsyes

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More resources
EsgynDBNetezza infoAlso called PureData System for Analytics by IBMTranswarp HippoTranswarp StellarDB
Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

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1 August 2023, The Register

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

Netezza Performance Server
12 August 2020, ibm.com

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