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DBMS > Kinetica vs. Stardog vs. Tkrzw vs. YugabyteDB

System Properties Comparison Kinetica vs. Stardog vs. Tkrzw vs. YugabyteDB

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionFully vectorized database across both GPUs and CPUsEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value storeRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score2.05
Rank#129  Overall
#11  Graph DBMS
#6  RDF stores
Score0.09
Rank#354  Overall
#51  Key-value stores
Score3.11
Rank#99  Overall
#51  Relational DBMS
Websitewww.kinetica.comwww.stardog.comdbmx.net/­tkrzwwww.yugabyte.com
Technical documentationdocs.kinetica.comdocs.stardog.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperKineticaStardog-UnionMikio HirabayashiYugabyte Inc.
Initial release2012201020202017
Current release7.1, August 20217.3.0, May 20200.9.3, August 20202.19, September 2023
License infoCommercial or Open Sourcecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoApache Version 2.0Open Source infoApache 2.0
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.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languageC, C++JavaC++C and C++
Server operating systemsLinuxLinux
macOS
Windows
Linux
macOS
Linux
OS X
Data schemeyesschema-free and OWL/RDFS-schema supportschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesnoyes
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.nono infoImport/export of XML data possiblenono
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLSQL-like DML and DDL statementsYes, compatible with all major SQL variants through dedicated BI/SQL Servernoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C++
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsuser defined functions and aggregates, HTTP Server extensions in Javanoyes infosql, plpgsql, C
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infovia event handlersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication in HA-ClusternoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in HA-ClusterImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyes infousing specific database classesno
User concepts infoAccess controlAccess rights for users and roles on table levelAccess rights for users and rolesnoyes
More information provided by the system vendor
KineticaStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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KineticaStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
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