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DBMS > Apache Phoenix vs. Dgraph vs. EsgynDB vs. Microsoft Access vs. Quasardb

System Properties Comparison Apache Phoenix vs. Dgraph vs. EsgynDB vs. Microsoft Access vs. Quasardb

Editorial information provided by DB-Engines
NameApache Phoenix  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionA scale-out RDBMS with evolutionary schema built on Apache HBaseDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Distributed, high-performance timeseries database
Primary database modelRelational DBMSGraph DBMSRelational DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.06
Rank#123  Overall
#58  Relational DBMS
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitephoenix.apache.orgdgraph.iowww.esgyn.cnwww.microsoft.com/­en-us/­microsoft-365/­accessquasar.ai
Technical documentationphoenix.apache.orgdgraph.io/­docsdeveloper.microsoft.com/­en-us/­accessdoc.quasar.ai/­master
DeveloperApache Software FoundationDgraph Labs, Inc.EsgynMicrosoftquasardb
Initial release20142016201519922009
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20191902 (16.0.11328.20222), March 20193.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial infoBundled with Microsoft Officecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoC++, JavaC++C++
Server operating systemsLinux
Unix
Windows
Linux
OS X
Windows
LinuxWindows infoNot a real database server, but making use of DLLsBSD
Linux
OS X
Windows
Data schemeyes infolate-bound, schema-on-read capabilitiesschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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 indexesyesyesyesyesyes infowith tags
SQL infoSupport of SQLyesnoyesyes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsJDBCGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
HTTP API
Supported programming languagesC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoJava Stored Proceduresyes infosince Access 2010 using the ACE-engineno
Triggersnononoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Synchronous replication via RaftMulti-source replication between multi datacentersnoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsHadoop integrationnoyesnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient mode
User concepts infoAccess controlAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyno infoPlanned for future releasesfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003Cryptographically strong user authentication and audit trail

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More resources
Apache PhoenixDgraphEsgynDBMicrosoft AccessQuasardb
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