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DBMS > Google BigQuery vs. GridGain vs. HugeGraph vs. InterSystems IRIS vs. Newts

System Properties Comparison Google BigQuery vs. GridGain vs. HugeGraph vs. InterSystems IRIS vs. Newts

Editorial information provided by DB-Engines
NameGoogle BigQuery  Xexclude from comparisonGridGain  Xexclude from comparisonHugeGraph  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionLarge scale data warehouse service with append-only tablesGridGain is an in-memory computing platform, built on Apache IgniteA fast-speed and highly-scalable Graph DBMSA containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityTime Series DBMS based on Cassandra
Primary database modelRelational DBMSKey-value store
Relational DBMS
Graph DBMSDocument store
Key-value store
Object oriented DBMS
Relational DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score58.10
Rank#19  Overall
#13  Relational DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score3.54
Rank#84  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Websitecloud.google.com/­bigquerywww.gridgain.comgithub.com/­hugegraph
hugegraph.apache.org
www.intersystems.com/­products/­intersystems-irisopennms.github.io/­newts
Technical documentationcloud.google.com/­bigquery/­docswww.gridgain.com/­docs/­index.htmlhugegraph.apache.org/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­OpenNMS/­newts/­wiki
DeveloperGoogleGridGain Systems, Inc.BaiduInterSystemsOpenNMS Group
Initial release20102007201820182014
Current releaseGridGain 8.5.10.92023.3, June 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetJavaJava
Server operating systemshostedLinux
OS X
Solaris
Windows
Linux
macOS
Unix
AIX
Linux
macOS
Ubuntu
Windows
Linux
OS X
Windows
Data schemeyesyesyesdepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.noyesnoyesno
Secondary indexesnoyesyes infoalso supports composite index and range indexyesno
SQL infoSupport of SQLyesANSI-99 for query and DML statements, subset of DDLnoyesno
APIs and other access methodsRESTful HTTP/JSON APIHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
HTTP REST
Java API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
C#
C++
Java
PHP
Python
Ruby
Scala
Groovy
Java
Python
.Net
C++
Java
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresuser defined functions infoin JavaScriptyes (compute grid and cache interceptors can be used instead)asynchronous Gremlin script jobsyesno
Triggersnoyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)yes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)via hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying dataACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesyesyesno
User concepts infoAccess controlAccess privileges (owner, writer, reader) on dataset, table or view level infoGoogle Cloud Identity & Access Management (IAM)Security Hooks for custom implementationsUsers, roles and permissionsyesno
More information provided by the system vendor
Google BigQueryGridGainHugeGraphInterSystems IRISNewts
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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