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DBMS > BoltDB vs. GigaSpaces vs. Google Cloud Firestore vs. Stardog vs. VelocityDB

System Properties Comparison BoltDB vs. GigaSpaces vs. Google Cloud Firestore vs. Stardog vs. VelocityDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonStardog  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeDocument store
Object oriented DBMS infoValues are user defined objects
Document storeGraph DBMS
RDF store
Graph DBMS
Object oriented DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitegithub.com/­boltdb/­boltwww.gigaspaces.comfirebase.google.com/­products/­firestorewww.stardog.comvelocitydb.com
Technical documentationdocs.gigaspaces.com/­latest/­landing.htmlfirebase.google.com/­docs/­firestoredocs.stardog.comvelocitydb.com/­UserGuide
DeveloperGigaspaces TechnologiesGoogleStardog-UnionVelocityDB Inc
Initial release20132000201720102011
Current release15.5, September 20207.3.0, May 20207.x
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetJavaC#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Solaris
Windows
hostedLinux
macOS
Windows
Any that supports .NET
Data schemeschema-freeschema-freeschema-freeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nono infoXML can be used for describing objects metadatanono infoImport/export of XML data possibleno
Secondary indexesnoyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.Net
Supported programming languagesGo.Net
C++
Java
Python
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
Server-side scripts infoStored proceduresnoyesyes, Firebase Rules & Cloud Functionsuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyes, event driven architectureyes, with Cloud Functionsyes infovia event handlersCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynononoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyesACIDACID
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.noyesyesyes
User concepts infoAccess controlnoRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users and rolesBased on Windows Authentication

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More resources
BoltDBGigaSpacesGoogle Cloud FirestoreStardogVelocityDB
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