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DBMS > AgensGraph vs. Netezza vs. Realm vs. Rockset vs. Snowflake

System Properties Comparison AgensGraph vs. Netezza vs. Realm vs. Rockset vs. Snowflake

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRealm  Xexclude from comparisonRockset  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLData warehouse and analytics appliance part of IBM PureSystemsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA scalable, reliable search and analytics service in the cloud, built on RocksDBCloud-based data warehousing service for structured and semi-structured data
Primary database modelGraph DBMS
Relational DBMS
Relational DBMSDocument storeDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Score0.82
Rank#212  Overall
#36  Document stores
Score130.36
Rank#8  Overall
#5  Relational DBMS
Websitebitnine.net/­agensgraphwww.ibm.com/­products/­netezzarealm.iorockset.comwww.snowflake.com
Technical documentationbitnine.net/­documentationrealm.io/­docsdocs.rockset.comdocs.snowflake.net/­manuals/­index.html
DeveloperBitnine Global Inc.IBMRealm, acquired by MongoDB in May 2019RocksetSnowflake Computing Inc.
Initial release20162000201420192014
Current release2.1, December 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++
Server operating systemsLinux
OS X
Windows
Linux infoincluded in applianceAndroid
Backend: server-less
iOS
Windows
hostedhosted
Data schemedepending on used data modelyesyesschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
Typing infopredefined data types such as float or dateyesyesyesdynamic typingyes
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 infoingestion from XML files supportedyes
Secondary indexesyesyesyesall fields are automatically indexed
SQL infoSupport of SQLyesyesnoRead-only SQL queries, including JOINsyes
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
OLE DB
HTTP RESTCLI Client
JDBC
ODBC
Supported programming languagesC
Java
JavaScript
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Java infowith Android only
Objective-C
React Native
Swift
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesyesno inforuns within the applications so server-side scripts are unnecessarynouser defined functions
Triggersnonoyes infoChange Listenersnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneAutomatic shardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationnoneyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.noyes infoIn-Memory realmno
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptyesAccess rights for users and organizations can be defined via Rockset consoleUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
AgensGraphNetezza infoAlso called PureData System for Analytics by IBMRealmRocksetSnowflake
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