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DBMS > CockroachDB vs. Cubrid vs. Hazelcast vs. Sqrrl

System Properties Comparison CockroachDB vs. Cubrid vs. Hazelcast vs. Sqrrl

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonCubrid  Xexclude from comparisonHazelcast  Xexclude from comparisonSqrrl  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionCockroachDB 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.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA widely adopted in-memory data gridAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Websitewww.cockroachlabs.comcubrid.com (korean)
cubrid.org (english)
hazelcast.comsqrrl.com
Technical documentationwww.cockroachlabs.com/­docscubrid.org/­manualshazelcast.org/­imdg/­docs
DeveloperCockroach LabsCUBRID Corporation, CUBRID FoundationHazelcastAmazon infooriginally Sqrrl Data, Inc.
Initial release2015200820082012
Current release24.1.0, May 202411.0, January 20215.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC, C++, JavaJavaJava
Server operating systemsLinux
macOS
Windows
Linux
Windows
All OS with a Java VMLinux
Data schemedynamic schemayesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes
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 strategy
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLyesSQL-like query languageno
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OLE DB
JCache
JPA
Memcached protocol
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infoEvent Listeners, Executor Servicesno
Triggersnoyesyes infoEventsno
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 RAFTnoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationyes infoReplicated Mapselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitedAtomic updates per row, document, or graph entity
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.nonoyes
User concepts infoAccess controlRole-based access controlfine grained access rights according to SQL-standardRole-based access controlCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
CockroachDBCubridHazelcastSqrrl
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