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DBMS > Apache Phoenix vs. BigchainDB vs. CrateDB vs. HyperSQL

System Properties Comparison Apache Phoenix vs. BigchainDB vs. CrateDB vs. HyperSQL

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Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBigchainDB  Xexclude from comparisonCrateDB  Xexclude from comparisonHyperSQL infoalso known as HSQLDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDistributed Database based on LuceneMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDB
Primary database modelRelational DBMSDocument storeDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score0.85
Rank#208  Overall
#35  Document stores
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score3.23
Rank#93  Overall
#48  Relational DBMS
Websitephoenix.apache.orgwww.bigchaindb.comcratedb.comhsqldb.org
Technical documentationphoenix.apache.orgbigchaindb.readthedocs.io/­en/­latestcratedb.com/­docshsqldb.org/­web/­hsqlDocsFrame.html
DeveloperApache Software FoundationCrate
Initial release2014201620132001
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.7.2, June 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoAGPL v3Open SourceOpen Source infobased on BSD license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonJavaJava
Server operating systemsLinux
Unix
Windows
LinuxAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modes
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyesnoyesyes
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 indexesyesyesyes
SQL infoSupport of SQLyesnoyes, but no triggers and constraints, and PostgreSQL compatibilityyes
APIs and other access methodsJDBCCLI Client
RESTful HTTP API
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
HTTP API infoJDBC via HTTP
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
Go
Haskell
Java
JavaScript
Python
Ruby
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
All languages supporting JDBC/ODBC
Java
Server-side scripts infoStored proceduresuser defined functionsuser defined functions (Javascript)Java, SQL
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factorConfigurable replication on table/partition-levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyEventual Consistency
Read-after-write consistency on record level
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyesrights management via user accountsfine grained access rights according to SQL-standard

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More resources
Apache PhoenixBigchainDBCrateDBHyperSQL infoalso known as HSQLDB
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