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DBMS > FoundationDB vs. GridDB vs. Stardog vs. Tkrzw vs. YugabyteDB

System Properties Comparison FoundationDB vs. GridDB vs. Stardog vs. Tkrzw vs. YugabyteDB

Editorial information provided by DB-Engines
NameFoundationDB  Xexclude from comparisonGridDB  Xexclude from comparisonStardog  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYugabyteDB  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionOrdered key-value store. Core features are complimented by layers.Scalable in-memory time series database optimized for IoT and Big DataEnterprise 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 modelDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMSGraph DBMS
RDF store
Key-value storeRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.00
Rank#383  Overall
#60  Key-value stores
Score2.91
Rank#102  Overall
#51  Relational DBMS
Websitegithub.com/­apple/­foundationdbgriddb.netwww.stardog.comdbmx.net/­tkrzwwww.yugabyte.com
Technical documentationapple.github.io/­foundationdbdocs.griddb.netdocs.stardog.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperFoundationDBToshiba CorporationStardog-UnionMikio HirabayashiYugabyte Inc.
Initial release20132013201020202017
Current release6.2.28, November 20205.1, August 20227.3.0, May 20200.9.3, August 20202.19, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial 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 servicenonononono
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 systemsLinux
OS X
Windows
LinuxLinux
macOS
Windows
Linux
macOS
Linux
OS X
Data schemeschema-free infosome layers support schemasyesschema-free and OWL/RDFS-schema supportschema-freedepending on used data model
Typing infopredefined data types such as float or dateno infosome layers support typingyes infonumerical, string, blob, geometry, boolean, timestampyesnoyes
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 indexesnoyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLsupported in specific SQL layer onlySQL92, SQL-like TQL (Toshiba Query Language)Yes, compatible with all major SQL variants through dedicated BI/SQL Servernoyes, PostgreSQL compatible
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON 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 languages.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.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 proceduresin SQL-layer onlynouser defined functions and aggregates, HTTP Server extensions in Javanoyes infosql, plpgsql, C
Triggersnoyesyes infovia event handlersnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-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 methodsnoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemLinearizable consistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency in HA-ClusterImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityin SQL-layer onlynoyes inforelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID at container levelACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infousing specific database classesno
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights for users and rolesnoyes
More information provided by the system vendor
FoundationDBGridDBStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Systems of record and engagement for cloud native applications that require resilience,...
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more
Apache 2.0 license for the database
» more

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FoundationDBGridDBStardogTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
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