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DBMS > AnzoGraph DB vs. BoltDB vs. GridGain vs. Oracle NoSQL

System Properties Comparison AnzoGraph DB vs. BoltDB vs. GridGain vs. Oracle NoSQL

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonBoltDB  Xexclude from comparisonGridGain  Xexclude from comparisonOracle NoSQL  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn embedded key-value store for Go.GridGain is an in-memory computing platform, built on Apache IgniteA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primary database modelGraph DBMS
RDF store
Key-value storeKey-value store
Relational DBMS
Document store
Key-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#295  Overall
#24  Graph DBMS
#13  RDF stores
Score0.69
Rank#237  Overall
#34  Key-value stores
Score1.59
Rank#158  Overall
#26  Key-value stores
#73  Relational DBMS
Score3.26
Rank#101  Overall
#18  Document stores
#17  Key-value stores
#52  Relational DBMS
Websitecambridgesemantics.com/­anzographgithub.com/­boltdb/­boltwww.gridgain.comwww.oracle.com/­database/­nosql/­technologies/­nosql
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.gridgain.com/­docs/­index.htmldocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
DeveloperCambridge SemanticsGridGain Systems, Inc.Oracle
Initial release2018201320072011
Current release2.3, January 2021GridGain 8.5.123.3, December 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoMIT LicensecommercialOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetJava
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Linux
Solaris SPARC/x86
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesSupport Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typing infopredefined data types such as float or datenoyesoptional
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.nonoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noANSI-99 for query and DML statements, subset of DDLSQL-like DML and DDL statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
Supported programming languagesC++
Java
Python
GoC#
C++
Java
PHP
Python
Ruby
Scala
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes (compute grid and cache interceptors can be used instead)no
Triggersnonoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusternoneyes (replicated cache)Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes (compute grid and hadoop accelerator)with Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusternoneImmediate ConsistencyEventual Consistency
Immediate Consistency infodepending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDconfigurable infoACID within a storage node (=shard)
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.yesnoyesyes infooff heap cache
User concepts infoAccess controlAccess rights for users and rolesnoSecurity Hooks for custom implementationsAccess rights for users and roles

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More resources
AnzoGraph DBBoltDBGridGainOracle NoSQL
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