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DBMS > Apache Kylin vs. CockroachDB vs. Hazelcast vs. Stardog vs. STSdb

System Properties Comparison Apache Kylin vs. CockroachDB vs. Hazelcast vs. Stardog vs. STSdb

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCockroachDB  Xexclude from comparisonHazelcast  Xexclude from comparisonStardog  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackCockroachDB 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.A widely adopted in-memory data gridEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSRelational DBMSKey-value storeGraph DBMS
RDF store
Key-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitekylin.apache.orgwww.cockroachlabs.comhazelcast.comwww.stardog.comgithub.com/­STSSoft/­STSdb4
Technical documentationkylin.apache.org/­docswww.cockroachlabs.com/­docshazelcast.org/­imdg/­docsdocs.stardog.com
DeveloperApache Software Foundation, originally contributed from eBay IncCockroach LabsHazelcastStardog-UnionSTS Soft SC
Initial release20152015200820102011
Current release3.1.0, July 202024.1.0, May 20245.3.6, November 20237.3.0, May 20204.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2; commercial licenses availablecommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentsOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaJavaC#
Server operating systemsLinuxLinux
macOS
Windows
All OS with a Java VMLinux
macOS
Windows
Windows
Data schemeyesdynamic schemaschema-freeschema-free and OWL/RDFS-schema supportyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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.nonoyes infothe object must implement a serialization strategyno infoImport/export of XML data possible
Secondary indexesyesyesyesyes infosupports real-time indexing in full-text and geospatialno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes, wire compatible with PostgreSQLSQL-like query languageYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJCache
JPA
Memcached protocol
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
.NET Client API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C#
Java
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersnoyes infoEventsyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodeshorizontal 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 RAFTShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyes infoReplicated MapMulti-source replication in HA-Clusternone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlRole-based access controlRole-based access controlAccess rights for users and rolesno

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More resources
Apache KylinCockroachDBHazelcastStardogSTSdb
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