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DBMS > Badger vs. Dgraph vs. EsgynDB vs. Hyprcubd vs. Netezza

System Properties Comparison Badger vs. Dgraph vs. EsgynDB vs. Hyprcubd vs. Netezza

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonHyprcubd  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionServerless Time Series DBMSData warehouse and analytics appliance part of IBM PureSystems
Primary database modelKey-value storeGraph DBMSRelational DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerdgraph.iowww.esgyn.cnhyprcubd.com (offline)www.ibm.com/­products/­netezza
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdgraph.io/­docs
DeveloperDGraph LabsDgraph Labs, Inc.EsgynHyprcubd, Inc.IBM
Initial release2017201620152000
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoGoC++, JavaGo
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
LinuxhostedLinux infoincluded in appliance
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes infotime, int, uint, float, stringyes
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.nononono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnonoyesSQL-like query languageyes
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (https)JDBC
ODBC
OLE DB
Supported programming languagesGoC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoJava Stored Proceduresnoyes
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication via RaftMulti-source replication between multi datacentersSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
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.nonono
User concepts infoAccess controlnono infoPlanned for future releasesfine grained access rights according to SQL-standardtoken accessUsers with fine-grained authorization concept

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More resources
BadgerDgraphEsgynDBHyprcubdNetezza infoAlso called PureData System for Analytics by IBM
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