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DBMS > Blazegraph vs. GBase vs. Netezza vs. YDB

System Properties Comparison Blazegraph vs. GBase vs. Netezza vs. YDB

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NameBlazegraph  Xexclude from comparisonGBase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonYDB  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Data warehouse and analytics appliance part of IBM PureSystemsA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#217  Overall
#19  Graph DBMS
#8  RDF stores
Score1.11
Rank#173  Overall
#78  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.39
Rank#269  Overall
#43  Document stores
#126  Relational DBMS
Websiteblazegraph.comwww.gbase.cnwww.ibm.com/­products/­netezzagithub.com/­ydb-platform/­ydb
ydb.tech
Technical documentationwiki.blazegraph.comydb.tech/­en/­docs
DeveloperBlazegraphGeneral Data Technology Co., Ltd.IBMYandex
Initial release2006200420002019
Current release2.1.5, March 2019GBase 8a, GBase 8s, GBase 8c
License infoCommercial or Open SourceOpen Source infoextended commercial license availablecommercialcommercialOpen Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, Python
Server operating systemsLinux
OS X
Windows
LinuxLinux infoincluded in applianceLinux
Data schemeschema-freeyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyesyes
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.yesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageStandard with numerous extensionsyesSQL-like query language (YQL)
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
ADO.NET
C API
JDBC
ODBC
JDBC
ODBC
OLE DB
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#C
C++
Fortran
Java
Lua
Perl
Python
R
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functionsyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSource-replica replicationActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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.no
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)yesUsers with fine-grained authorization conceptAccess rights defined for Yandex Cloud users

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More resources
BlazegraphGBaseNetezza infoAlso called PureData System for Analytics by IBMYDB
Recent citations in the news

Video: Blazegraph Accelerates Graph Computing with GPUs
20 December 2015, insideHPC

Harnessing GPUs Delivers a Big Speedup for Graph Analytics
15 December 2015, Datanami

This AI Paper Introduces A Comprehensive RDF Dataset With Over 26 Billion Triples Covering Scholarly Data Across All Scientific Disciplines
19 August 2023, MarkTechPost

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Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, ibm.com

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Copy data from Netezza to Azure with Azure Data Factory
9 September 2019, Microsoft

IBM Completes Acquisition of Netezza
11 November 2010, PR Newswire

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