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DBMS > Hyprcubd vs. NSDb vs. Oracle Coherence vs. RavenDB vs. Spark SQL

System Properties Comparison Hyprcubd vs. NSDb vs. Oracle Coherence vs. RavenDB vs. Spark SQL

Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonNSDb  Xexclude from comparisonOracle Coherence  Xexclude from comparisonRavenDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOracles in-memory data grid solutionOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSTime Series DBMSKey-value storeDocument storeRelational DBMS
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score2.84
Rank#101  Overall
#18  Document stores
Score18.04
Rank#33  Overall
#20  Relational DBMS
Websitehyprcubd.com (offline)nsdb.iowww.oracle.com/­java/­coherenceravendb.netspark.apache.org/­sql
Technical documentationnsdb.io/­Architecturedocs.oracle.com/­en/­middleware/­standalone/­coherenceravendb.net/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperHyprcubd, Inc.OracleHibernating RhinosApache Software Foundation
Initial release2017200720102014
Current release14.1, August 20235.4, July 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercialOpen Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, ScalaJavaC#Scala
Server operating systemshostedLinux
macOS
All OS with a Java VMLinux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyes: int, bigint, decimal, stringyesnoyes
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.nononono
Secondary indexesnoall fields are automatically indexednoyesno
SQL infoSupport of SQLSQL-like query languageSQL-like query languagenoSQL-like query language (RQL)SQL-like DML and DDL statements
APIs and other access methodsgRPC (https)gRPC
HTTP REST
WebSocket
JCache
JPA
RESTful HTTP API
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJava
Scala
.Net
C++
Java
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononoyesno
Triggersnoyes infoLive Eventsyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyes, with selectable consistency levelMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Default ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoconfigurableACID, Cluster-wide transaction availableno
Concurrency infoSupport for concurrent manipulation of datanoyesyesyesyes
Durability infoSupport for making data persistentyesUsing Apache Luceneyes infooptionallyyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controltoken accessauthentification to access the cache via certificates or http basic authenticationAuthorization levels configured per client per databaseno

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More resources
HyprcubdNSDbOracle CoherenceRavenDBSpark SQL
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