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DBMS > Badger vs. Netezza vs. TerminusDB vs. Warp 10

System Properties Comparison Badger vs. Netezza vs. TerminusDB vs. Warp 10

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Data warehouse and analytics appliance part of IBM PureSystemsScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelKey-value storeRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitegithub.com/­dgraph-io/­badgerwww.ibm.com/­products/­netezzaterminusdb.comwww.warp10.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerterminusdb.github.io/­terminusdb/­#www.warp10.io/­content/­02_Getting_started
DeveloperDGraph LabsIBMDataChemist Ltd.SenX
Initial release2017200020182015
Current release11.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL V3Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoProlog, RustJava
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceLinuxLinux
OS X
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesyes
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.nonono
Secondary indexesnoyesno
SQL infoSupport of SQLnoyesSQL-like query language (WOQL)no
APIs and other access methodsJDBC
ODBC
OLE DB
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
HTTP API
Jupyter
WebSocket
Supported programming languagesGoC
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript
Python
Server-side scripts infoStored proceduresnoyesyesyes infoWarpScript
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingGraph PartitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationJournaling Streamsselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoUsers with fine-grained authorization conceptRole-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
BadgerNetezza infoAlso called PureData System for Analytics by IBMTerminusDB infoformer name was DataChemistWarp 10
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