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DBMS > AnzoGraph DB vs. EJDB vs. Netezza vs. Snowflake vs. SQream DB

System Properties Comparison AnzoGraph DB vs. EJDB vs. Netezza vs. Snowflake vs. SQream DB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonEJDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSnowflake  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Data warehouse and analytics appliance part of IBM PureSystemsCloud-based data warehousing service for structured and semi-structured dataa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.27
Rank#297  Overall
#44  Document stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score121.33
Rank#9  Overall
#6  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­Softmotions/­ejdbwww.ibm.com/­products/­netezzawww.snowflake.comsqream.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.snowflake.net/­manuals/­index.htmldocs.sqream.com
DeveloperCambridge SemanticsSoftmotionsIBMSnowflake Computing Inc.SQream Technologies
Initial release20182012200020142017
Current release2.3, January 20212022.1.6, December 2022
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoGPLv2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxserver-lessLinux infoincluded in appliancehostedLinux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyes infosupport of semi-structured data formats (JSON, XML, Avro)yes
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyes, ANSI Standard SQL Types
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
Secondary indexesnonoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyesyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
in-process shared libraryJDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
.Net
JDBC
ODBC
Supported programming languagesC++
Java
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
JavaScript (Node.js)
Python
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyesuser defined functionsuser defined functions in Python
Triggersnononono infosimilar concept for controling cloud resourcesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingyeshorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusternoneSource-replica replicationyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsno infotypically not needed, however similar functionality with collection joins possiblenoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesnoUsers with fine-grained authorization conceptUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
AnzoGraph DBEJDBNetezza infoAlso called PureData System for Analytics by IBMSnowflakeSQream DB
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Recent citations in the news

AnzoGraph review: A graph database for deep analytics
15 April 2019, InfoWorld

Cambridge Semantics Unveils AnzoGraph DB with Geospatial Analytics
19 June 2020, Solutions Review

AnzoGraph: A W3C Standards-Based Graph Database | by Jo Stichbury
8 February 2019, Towards Data Science

Back to the future: Does graph database success hang on query language?
5 March 2018, ZDNet

Cambridge Semantics Fits AnzoGraph DB with More Speed, Free Access
23 January 2020, Solutions Review

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IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
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AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

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

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

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29 June 2020, Datanami

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