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DBMS > RDF4J vs. Rockset vs. SingleStore vs. VelocityDB vs. WakandaDB

System Properties Comparison RDF4J vs. Rockset vs. SingleStore vs. VelocityDB vs. WakandaDB

Editorial information provided by DB-Engines
NameRDF4J infoformerly known as Sesame  Xexclude from comparisonRockset  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonVelocityDB  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A scalable, reliable search and analytics service in the cloud, built on RocksDBMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRDF storeDocument storeRelational DBMSGraph DBMS
Object oriented DBMS
Object oriented DBMS
Secondary database modelsRelational DBMS
Search engine
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#222  Overall
#9  RDF stores
Score0.82
Rank#212  Overall
#36  Document stores
Score5.38
Rank#62  Overall
#35  Relational DBMS
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websiterdf4j.orgrockset.comwww.singlestore.comvelocitydb.comwakanda.github.io
Technical documentationrdf4j.org/­documentationdocs.rockset.comdocs.singlestore.comvelocitydb.com/­UserGuidewakanda.github.io/­doc
DeveloperSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.RocksetSingleStore Inc.VelocityDB IncWakanda SAS
Initial release20042019201320112012
Current release8.5, January 20247.x2.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoEclipse Distribution License (EDL), v1.0.commercialcommercial infofree developer edition availablecommercialOpen Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageJavaC++C++, GoC#C++, JavaScript
Server operating systemsLinux
OS X
Unix
Windows
hostedLinux info64 bit version requiredAny that supports .NETLinux
OS X
Windows
Data schemeyes infoRDF Schemasschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesdynamic typingyesyesyes
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.no infoingestion from XML files supportednonono
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLnoRead-only SQL queries, including JOINsyes infobut no triggers and foreign keysnono
APIs and other access methodsJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
HTTP RESTCluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
.NetRESTful HTTP API
Supported programming languagesJava
PHP
Python
Go
Java
JavaScript (Node.js)
Python
Bash
C
C#
Java
JavaScript (Node.js)
Python
.NetJavaScript
Server-side scripts infoStored proceduresyesnoyesnoyes
TriggersyesnonoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding infohash partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan define user-defined aggregate functions for map-reduce-style calculationsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoIsolation support depends on the API usednoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoin-memory storage is supported as wellyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoAccess rights for users and organizations can be defined via Rockset consoleFine grained access control via users, groups and rolesBased on Windows Authenticationyes
More information provided by the system vendor
RDF4J infoformerly known as SesameRocksetSingleStore infoformer name was MemSQLVelocityDBWakandaDB
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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More resources
RDF4J infoformerly known as SesameRocksetSingleStore infoformer name was MemSQLVelocityDBWakandaDB
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SingleStore: The Increasing Momentum of Multi-Model Database Systems
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