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DBMS > Apache Kylin vs. CockroachDB vs. Hazelcast vs. NuoDB vs. TerarkDB

System Properties Comparison Apache Kylin vs. CockroachDB vs. Hazelcast vs. NuoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonCockroachDB  Xexclude from comparisonHazelcast  Xexclude from comparisonNuoDB  Xexclude from comparisonTerarkDB  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 gridNuoDB is a webscale distributed database that supports SQL and ACID transactionsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSRelational DBMSKey-value storeRelational DBMSKey-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
Score1.18
Rank#172  Overall
#79  Relational DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitekylin.apache.orgwww.cockroachlabs.comhazelcast.comwww.3ds.com/­nuodb-distributed-sql-databasegithub.com/­bytedance/­terarkdb
Technical documentationkylin.apache.org/­docswww.cockroachlabs.com/­docshazelcast.org/­imdg/­docsdoc.nuodb.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software Foundation, originally contributed from eBay IncCockroach LabsHazelcastDassault Systèmes infooriginally NuoDB, Inc.ByteDance, originally Terark
Initial release20152015200820132016
Current release3.1.0, July 202023.1.1, May 20235.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2; commercial licenses availablecommercial infolimited edition freecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoJavaC++C++
Server operating systemsLinuxLinux
macOS
Windows
All OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeyesdynamic schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 strategynono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)yes, wire compatible with PostgreSQLSQL-like query languageyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBCJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
C++ API
Java 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
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor ServicesJava, SQLno
Triggersnoyes infoEventsyesno
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 RAFTShardingdata is dynamically stored/cached on the nodes where it is read/writtennone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyes infoReplicated Mapyes infoManaged transparently by NuoDBnone
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
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMVCCyes
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 infoTemporary tableyes
User concepts infoAccess controlRole-based access controlRole-based access controlStandard SQL roles/ privileges, Administrative Usersno

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Apache KylinCockroachDBHazelcastNuoDBTerarkDB
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