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DBMS > EsgynDB vs. Hazelcast vs. Netezza vs. Speedb

System Properties Comparison EsgynDB vs. Hazelcast vs. Netezza vs. Speedb

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Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonHazelcast  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionA widely adopted in-memory data gridData warehouse and analytics appliance part of IBM PureSystemsAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.20
Rank#310  Overall
#44  Key-value stores
Websitewww.esgyn.cnhazelcast.comwww.ibm.com/­products/­netezzawww.speedb.io
Technical documentationhazelcast.org/­imdg/­docs
DeveloperEsgynHazelcastIBMSpeedb
Initial release2015200820002020
Current release5.3.6, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialOpen Source infoApache Version 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaJavaC++
Server operating systemsLinuxAll OS with a Java VMLinux infoincluded in applianceLinux
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 strategyno
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesSQL-like query languageyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.Net.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresJava Stored Proceduresyes infoEvent Listeners, Executor Servicesyesno
Triggersnoyes infoEventsno
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 datacentersyes infoReplicated MapSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus Algorithm
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDyes
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.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access controlUsers with fine-grained authorization conceptno

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More resources
EsgynDBHazelcastNetezza infoAlso called PureData System for Analytics by IBMSpeedb
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