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DBMS > CockroachDB vs. HBase vs. LevelDB vs. Quasardb

System Properties Comparison CockroachDB vs. HBase vs. LevelDB vs. Quasardb

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonHBase  Xexclude from comparisonLevelDB  Xexclude from comparisonQuasardb  Xexclude from comparison
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.Wide-column store based on Apache Hadoop and on concepts of BigTableEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesDistributed, high-performance timeseries database
Primary database modelRelational DBMSWide column storeKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.cockroachlabs.comhbase.apache.orggithub.com/­google/­leveldbquasar.ai
Technical documentationwww.cockroachlabs.com/­docshbase.apache.org/­book.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.quasar.ai/­master
DeveloperCockroach LabsApache Software Foundation infoApache top-level project, originally developed by PowersetGooglequasardb
Initial release2015200820112009
Current release24.1.0, May 20242.3.4, January 20211.23, February 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache version 2Open Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaC++C++
Server operating systemsLinux
macOS
Windows
Linux
Unix
Windows infousing Cygwin
Illumos
Linux
OS X
Windows
BSD
Linux
OS X
Windows
Data schemedynamic schemaschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes infointeger and binary
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.nononono
Secondary indexesyesnonoyes infowith tags
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnonoSQL-like query language
APIs and other access methodsJDBCJava API
RESTful HTTP API
Thrift
HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Groovy
Java
PHP
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyes infoCoprocessors in Javanono
Triggersnoyesnono
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 RAFTShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replication
Source-replica replication
noneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)noACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlRole-based access controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoCryptographically strong user authentication and audit trail

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More resources
CockroachDBHBaseLevelDBQuasardb
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