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DBMS > Blazegraph vs. CockroachDB vs. GridDB vs. Kyligence Enterprise

System Properties Comparison Blazegraph vs. CockroachDB vs. GridDB vs. Kyligence Enterprise

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Editorial information provided by DB-Engines
NameBlazegraph  Xexclude from comparisonCockroachDB  Xexclude from comparisonGridDB  Xexclude from comparisonKyligence Enterprise  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.CockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Scalable in-memory time series database optimized for IoT and Big DataA distributed analytics engine for big data, built on top of Apache Kylin
Primary database modelGraph DBMS
RDF store
Relational DBMSTime Series DBMSRelational DBMS
Secondary database modelsKey-value store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score1.95
Rank#128  Overall
#10  Time Series DBMS
Score0.40
Rank#269  Overall
#124  Relational DBMS
Websiteblazegraph.comwww.cockroachlabs.comgriddb.netkyligence.io/­kyligence-enterprise
Technical documentationwiki.blazegraph.comwww.cockroachlabs.com/­docsdocs.griddb.net
DeveloperBlazegraphCockroach LabsToshiba CorporationKyligence, Inc.
Initial release2006201520132016
Current release2.1.5, March 201923.1.1, May 20235.1, August 2022
License infoCommercial or Open SourceOpen Source infoextended commercial license availableOpen Source infoApache 2.0, commercial license availableOpen Source infoAGPL version 3 and Apache License, version 2.0 , commercial license (standard and advanced editions) also availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++Java
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
LinuxLinux
Data schemeschema-freedynamic schemayesyes
Typing infopredefined data types such as float or dateyes infoRDF literal typesyesyes infonumerical, string, blob, geometry, boolean, timestampyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes, wire compatible with PostgreSQLSQL92, SQL-like TQL (Toshiba Query Language)ANSI SQL for queries (using Apache Calcite)
APIs and other access methodsJava API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBCJDBC
ODBC
Proprietary protocol
RESTful HTTP/JSON API
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnono
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoConnector for using GridDB as an input source and output destination for Hadoop MapReduce jobsyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate consistency within container, eventual consistency across containersImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in Graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at container level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)Role-based access controlAccess rights for users can be defined per database
More information provided by the system vendor
BlazegraphCockroachDBGridDBKyligence Enterprise
Specific characteristicsGridDB is a highly scalable, in-memory time series database optimized for IoT and...
» more
Competitive advantages1. Optimized for IoT Equipped with Toshiba's proprietary key-container data model...
» more
Typical application scenariosFactory IoT, Automative Industry, Energy, BEMS, Smart Community, Monitoring system.
» more
Key customersDenso International [see use case ] An Electric Power company [see use case ] Ishinomaki...
» more
Market metricsGitHub trending repository
» more
Licensing and pricing modelsOpen Source license (AGPL v3 & Apache v2) Commercial license (subscription)
» more

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BlazegraphCockroachDBGridDBKyligence Enterprise
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