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DBMS > Apache Phoenix vs. Bangdb vs. BigObject vs. Greenplum vs. LokiJS

System Properties Comparison Apache Phoenix vs. Bangdb vs. BigObject vs. Greenplum vs. LokiJS

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBangdb  Xexclude from comparisonBigObject  Xexclude from comparisonGreenplum  Xexclude from comparisonLokiJS  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseConverged and high performance database for device data, events, time series, document and graphAnalytic DBMS for real-time computations and queriesAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.In-memory JavaScript DBMS
Primary database modelRelational DBMSDocument store
Graph DBMS
Time Series DBMS
Relational DBMS infoa hierachical model (tree) can be imposedRelational DBMSDocument store
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#125  Overall
#59  Relational DBMS
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score0.13
Rank#329  Overall
#147  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.44
Rank#256  Overall
#40  Document stores
Websitephoenix.apache.orgbangdb.combigobject.iogreenplum.orggithub.com/­techfort/­LokiJS
Technical documentationphoenix.apache.orgdocs.bangdb.comdocs.bigobject.iodocs.greenplum.orgtechfort.github.io/­LokiJS
DeveloperApache Software FoundationSachin Sinha, BangDBBigObject, Inc.Pivotal Software Inc.
Initial release20142012201520052014
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 2019BangDB 2.0, October 20217.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoBSD 3commercial infofree community edition availableOpen Source infoApache 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaScript
Server operating systemsLinux
Unix
Windows
LinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyesno
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.nononoyes infosince Version 4.2no
Secondary indexesyesyes infosecondary, composite, nested, reverse, geospatialyesyesyes infovia views
SQL infoSupport of SQLyesSQL like support with command line toolSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBCProprietary protocol
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
JDBC
ODBC
JavaScript API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Java
Python
C
Java
Perl
Python
R
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnoLuayesView functions in JavaScript
Triggersnoyes, Notifications (with Streaming only)noyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor, Knob for CAP (enterprise version only)noneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyTunable consistency, set CAP knob accordinglynoneImmediate Consistencynone
Foreign keys infoReferential integritynonoyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDno infoatomic operations within a single collection possible
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes infoRead/write lock on objects (tables, trees)yes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, run db with in-memory only modeyesnoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyyes (enterprise version only)nofine grained access rights according to SQL-standardno

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More resources
Apache PhoenixBangdbBigObjectGreenplumLokiJS
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