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DBMS > Apache Phoenix vs. Badger vs. EsgynDB vs. TerminusDB vs. Warp 10

System Properties Comparison Apache Phoenix vs. Badger vs. EsgynDB vs. TerminusDB vs. Warp 10

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonBadger  Xexclude from comparisonEsgynDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparisonWarp 10  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.Enterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationshipsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSKey-value storeRelational DBMSGraph DBMSTime Series DBMS
Secondary database modelsDocument store
RDF store
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
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitephoenix.apache.orggithub.com/­dgraph-io/­badgerwww.esgyn.cnterminusdb.comwww.warp10.io
Technical documentationphoenix.apache.orggodoc.org/­github.com/­dgraph-io/­badgerterminusdb.github.io/­terminusdb/­#www.warp10.io/­content/­02_Getting_started
DeveloperApache Software FoundationDGraph LabsEsgynDataChemist Ltd.SenX
Initial release20142017201520182015
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201911.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialOpen Source infoGPL V3Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++, JavaProlog, RustJava
Server operating systemsLinux
Unix
Windows
BSD
Linux
OS X
Solaris
Windows
LinuxLinuxLinux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesschema-free
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.nonononono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyesnoyesSQL-like query language (WOQL)no
APIs and other access methodsJDBCADO.NET
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
HTTP API
Jupyter
WebSocket
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
GoAll languages supporting JDBC/ODBC/ADO.NetJavaScript
Python
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Proceduresyesyes infoWarpScript
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingGraph PartitioningSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneMulti-source replication between multi datacentersJournaling Streamsselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencynoneImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesyesno
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 persistentyesyesyesyes infoin-memory journalingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancynofine grained access rights according to SQL-standardRole-based access controlMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache PhoenixBadgerEsgynDBTerminusDB infoformer name was DataChemistWarp 10
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