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DBMS > Apache Phoenix vs. BigObject vs. Cachelot.io vs. DuckDB vs. Riak KV

System Properties Comparison Apache Phoenix vs. BigObject vs. Cachelot.io vs. DuckDB vs. Riak KV

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBigObject  Xexclude from comparisonCachelot.io  Xexclude from comparisonDuckDB  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAnalytic DBMS for real-time computations and queriesIn-memory caching systemAn embeddable, in-process, column-oriented SQL OLAP RDBMSDistributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMS infoa hierachical model (tree) can be imposedKey-value storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitephoenix.apache.orgbigobject.iocachelot.ioduckdb.org
Technical documentationphoenix.apache.orgdocs.bigobject.ioduckdb.org/­docswww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperApache Software FoundationBigObject, Inc.OpenSource, formerly Basho Technologies
Initial release20142015201520182009
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20190.10, February 20243.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial infofree community edition availableOpen Source infoSimplified BSD LicenseOpen Source infoMIT LicenseOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C++Erlang
Server operating systemsLinux
Unix
Windows
Linux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
FreeBSD
Linux
OS X
server-lessLinux
OS X
Data schemeyes infolate-bound, schema-on-read capabilitiesyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexesyesyesnoyesrestricted
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyesno
APIs and other access methodsJDBCfluentd
ODBC
RESTful HTTP API
Memcached protocolArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
HTTP API
Native Erlang Interface
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresuser defined functionsLuanonoErlang
Triggersnonononoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonenoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
nonenonenoneselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynonenoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesnonono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynononoyes, using Riak Security

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More resources
Apache PhoenixBigObjectCachelot.ioDuckDBRiak KV
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