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DBMS > HBase vs. Kinetica vs. LevelDB vs. RavenDB vs. TerminusDB

System Properties Comparison HBase vs. Kinetica vs. LevelDB vs. RavenDB vs. TerminusDB

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonKinetica  Xexclude from comparisonLevelDB  Xexclude from comparisonRavenDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableFully vectorized database across both GPUs and CPUsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesOpen Source Operational and Transactional Enterprise NoSQL Document DatabaseScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelWide column storeRelational DBMSKey-value storeDocument storeGraph DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Graph DBMS
Spatial DBMS
Time Series DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitehbase.apache.orgwww.kinetica.comgithub.com/­google/­leveldbravendb.netterminusdb.com
Technical documentationhbase.apache.org/­book.htmldocs.kinetica.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdravendb.net/­docsterminusdb.github.io/­terminusdb/­#
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetKineticaGoogleHibernating RhinosDataChemist Ltd.
Initial release20082012201120102018
Current release2.3.4, January 20217.1, August 20211.23, February 20215.4, July 202211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoBSDOpen Source infoAGPL version 3, commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++C++C#Prolog, Rust
Server operating systemsLinux
Unix
Windows infousing Cygwin
LinuxIllumos
Linux
OS X
Windows
Linux
macOS
Raspberry Pi
Windows
Linux
Data schemeschema-free, schema definition possibleyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesnonoyes
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 indexesnoyesnoyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language (RQL)SQL-like query language (WOQL)
APIs and other access methodsJava API
RESTful HTTP API
Thrift
JDBC
ODBC
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
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresyes infoCoprocessors in Javauser defined functionsnoyesyes
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangenoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationnoneMulti-source replicationJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate 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.
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)nonoACID, Cluster-wide transaction availableACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users and roles on table levelnoAuthorization levels configured per client per databaseRole-based access control

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More resources
HBaseKineticaLevelDBRavenDBTerminusDB infoformer name was DataChemist
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