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DBMS > Dgraph vs. GigaSpaces vs. Hive vs. Sequoiadb vs. VelocityDB

System Properties Comparison Dgraph vs. GigaSpaces vs. Hive vs. Sequoiadb vs. VelocityDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHive  Xexclude from comparisonSequoiadb  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactionsdata warehouse software for querying and managing large distributed datasets, built on HadoopNewSQL database with distributed OLTP and SQLA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelGraph DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSDocument store
Relational DBMS
Graph DBMS
Object oriented DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitedgraph.iowww.gigaspaces.comhive.apache.orgwww.sequoiadb.comvelocitydb.com
Technical documentationdgraph.io/­docsdocs.gigaspaces.com/­latest/­landing.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.sequoiadb.com/­en/­index.php?m=Files&a=indexvelocitydb.com/­UserGuide
DeveloperDgraph Labs, Inc.Gigaspaces TechnologiesApache Software Foundation infoinitially developed by FacebookSequoiadb Ltd.VelocityDB Inc
Initial release20162000201220132011
Current release15.5, September 20203.1.3, April 20227.x
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2Open Source infoServer: AGPL; Client: Apache V2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetJavaC++C#
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
All OS with a Java VMLinuxAny that supports .NET
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infooid, date, timestamp, binary, regexyes
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
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsSQL-like DML and DDL statementsSQL-like query languageno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
proprietary protocol using JSON.Net
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
C++
Java
PHP
Python
.Net
C++
Java
PHP
Python
.Net
Server-side scripts infoStored proceduresnoyesyes infouser defined functions and integration of map-reduceJavaScriptno
Triggersnoyes, event driven architecturenonoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoDocument is locked during a transactionACID
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.yesnoyes
User concepts infoAccess controlno infoPlanned for future releasesRole-based access controlAccess rights for users, groups and rolessimple password-based access controlBased on Windows Authentication

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More resources
DgraphGigaSpacesHiveSequoiadbVelocityDB
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