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DBMS > Apache Phoenix vs. Badger vs. Dgraph vs. GigaSpaces vs. JaguarDB

System Properties Comparison Apache Phoenix vs. Badger vs. Dgraph vs. GigaSpaces vs. JaguarDB

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBadger  Xexclude from comparisonDgraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonJaguarDB  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Distributed and scalable native Graph DBMSHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsPerformant, highly scalable DBMS for AI and IoT applications
Primary database modelRelational DBMSKey-value storeGraph DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Vector DBMS
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score0.14
Rank#331  Overall
#49  Key-value stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websitephoenix.apache.orggithub.com/­dgraph-io/­badgerdgraph.iowww.gigaspaces.comwww.jaguardb.com
Technical documentationphoenix.apache.orggodoc.org/­github.com/­dgraph-io/­badgerdgraph.io/­docsdocs.gigaspaces.com/­latest/­landing.htmlwww.jaguardb.com/­support.html
DeveloperApache Software FoundationDGraph LabsDgraph Labs, Inc.Gigaspaces TechnologiesDataJaguar, Inc.
Initial release20142017201620002015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201915.5, September 20203.3 July 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availableOpen Source infoGPL V3.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoGoJava, C++, .NetC++ infothe server part. Clients available in other languages
Server operating systemsLinux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Solaris
Windows
Linux
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 infoXML can be used for describing objects metadatano
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLyesnonoSQL-99 for query and DML statementsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
GoC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyesno
Triggersnononoyes, event driven architectureno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneSynchronous replication via RaftMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnonoyes infoMap-Reduce pattern can be built with XAP task executorsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesno
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynono infoPlanned for future releasesRole-based access controlrights management via user accounts

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More resources
Apache PhoenixBadgerDgraphGigaSpacesJaguarDB
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