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DBMS > Hazelcast vs. RDFox vs. SingleStore vs. YottaDB

System Properties Comparison Hazelcast vs. RDFox vs. SingleStore vs. YottaDB

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Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonRDFox  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionA widely adopted in-memory data gridHigh performance knowledge graph and semantic reasoning engineMySQL 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 fast and solid embedded Key-value store
Primary database modelKey-value storeGraph DBMS
RDF store
Relational DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitehazelcast.comwww.oxfordsemantic.techwww.singlestore.comyottadb.com
Technical documentationhazelcast.org/­imdg/­docsdocs.oxfordsemantic.techdocs.singlestore.comyottadb.com/­resources/­documentation
DeveloperHazelcastOxford Semantic TechnologiesSingleStore Inc.YottaDB, LLC
Initial release2008201720132001
Current release5.3.6, November 20236.0, Septermber 20228.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infofree developer edition availableOpen Source infoAGPL 3.0
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 languageJavaC++C++, GoC
Server operating systemsAll OS with a Java VMLinux
macOS
Windows
Linux info64 bit version requiredDocker
Linux
Data schemeschema-freeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infothe object must implement a serialization strategynono
Secondary indexesyesyesno
SQL infoSupport of SQLSQL-like query languagenoyes infobut no triggers and foreign keysby using the Octo plugin
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
Java
Bash
C
C#
Java
JavaScript (Node.js)
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyes
Triggersyes infoEventsno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapreplication via a shared file systemSource-replica replication infostores two copies of each physical data partition on two separate nodesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlRole-based access controlRoles, resources, and access typesFine grained access control via users, groups and rolesUsers and groups based on OS-security mechanisms

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More resources
HazelcastRDFoxSingleStore infoformer name was MemSQLYottaDB
DB-Engines blog posts

Turbocharge Your Application Development Using WebAssembly With SingleStoreDB
17 October 2022,  Akmal Chaudhri, SingleStore (sponsor) 

Cloud-Based Analytics With SingleStoreDB
9 June 2022,  Akmal Chaudhri, SingleStore (sponsor) 

SingleStore: The Increasing Momentum of Multi-Model Database Systems
14 February 2022,  Akmal Chaudhri, SingleStore (sponsor) 

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