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DBMS > jBASE vs. Kinetica vs. NSDb vs. RavenDB vs. TimescaleDB

System Properties Comparison jBASE vs. Kinetica vs. NSDb vs. RavenDB vs. TimescaleDB

Editorial information provided by DB-Engines
NamejBASE  Xexclude from comparisonKinetica  Xexclude from comparisonNSDb  Xexclude from comparisonRavenDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionA robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelMultivalue DBMSRelational DBMSTime Series DBMSDocument storeTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score2.84
Rank#101  Overall
#18  Document stores
Score4.46
Rank#71  Overall
#5  Time Series DBMS
Websitewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.comnsdb.ioravendb.netwww.timescale.com
Technical documentationdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.comnsdb.io/­Architectureravendb.net/­docsdocs.timescale.com
DeveloperRocket Software (formerly Zumasys)KineticaHibernating RhinosTimescale
Initial release19912012201720102017
Current release5.77.1, August 20215.4, July 20222.15.0, May 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoAGPL version 3, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++Java, ScalaC#C
Server operating systemsAIX
Linux
Windows
LinuxLinux
macOS
Linux
macOS
Raspberry Pi
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyes: int, bigint, decimal, stringnonumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.yesnonoyes
Secondary indexesyesall fields are automatically indexedyesyes
SQL infoSupport of SQLEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsSQL-like query languageSQL-like query language (RQL)yes infofull PostgreSQL SQL syntax
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
gRPC
HTTP REST
WebSocket
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
Java
Scala
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyesuser defined functionsnoyesuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingShardingyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replicationSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyDefault 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.Immediate Consistency
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAMno
User concepts infoAccess controlAccess rights can be defined down to the item levelAccess rights for users and roles on table levelAuthorization levels configured per client per databasefine grained access rights according to SQL-standard

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More resources
jBASEKineticaNSDbRavenDBTimescaleDB
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