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DBMS > CockroachDB vs. HarperDB vs. HBase vs. Sequoiadb vs. XTDB

System Properties Comparison CockroachDB vs. HarperDB vs. HBase vs. Sequoiadb vs. XTDB

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonHarperDB  Xexclude from comparisonHBase  Xexclude from comparisonSequoiadb  Xexclude from comparisonXTDB infoformerly named Crux  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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Wide-column store based on Apache Hadoop and on concepts of BigTableNewSQL database with distributed OLTP and SQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelRelational DBMSDocument storeWide column storeDocument store
Relational DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.55
Rank#248  Overall
#38  Document stores
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.cockroachlabs.comwww.harperdb.iohbase.apache.orgwww.sequoiadb.comgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationwww.cockroachlabs.com/­docsdocs.harperdb.io/­docshbase.apache.org/­book.htmlwww.sequoiadb.com/­en/­index.php?m=Files&a=indexwww.xtdb.com/­docs
DeveloperCockroach LabsHarperDBApache Software Foundation infoApache top-level project, originally developed by PowersetSequoiadb Ltd.Juxt Ltd.
Initial release20152017200820132019
Current release23.1.1, May 20233.1, August 20212.3.4, January 20211.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infofree community edition availableOpen Source infoApache version 2Open Source infoServer: AGPL; Client: Apache V2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoNode.jsJavaC++Clojure
Server operating systemsLinux
macOS
Windows
Linux
OS X
Linux
Unix
Windows infousing Cygwin
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemedynamic schemadynamic schemaschema-free, schema definition possibleschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infoJSON data typesoptions to bring your own types, AVROyes infooid, date, timestamp, binary, regexyes, extensible-data-notation format
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.nonononono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLSQL-like data manipulation statementsnoSQL-like query languagelimited SQL, making use of Apache Calcite
APIs and other access methodsJDBCJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Java API
RESTful HTTP API
Thrift
proprietary protocol using JSONHTTP REST
JDBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C++
Java
PHP
Python
Clojure
Java
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1yes infoCoprocessors in JavaJavaScriptno
Triggersnonoyesnono
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 RAFTA table resides as a whole on one (or more) nodes in a clusterShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyes infothe nodes on which a table resides can be definedMulti-source replication
Source-replica replication
Source-replica replicationyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsSingle row ACID (across millions of columns)Document is locked during a transactionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlRole-based access controlAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACsimple password-based access control

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More resources
CockroachDBHarperDBHBaseSequoiadbXTDB infoformerly named Crux
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