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DBMS > AgensGraph vs. Apache Drill vs. Dragonfly vs. Graph Engine vs. Microsoft Azure Table Storage

System Properties Comparison AgensGraph vs. Apache Drill vs. Dragonfly vs. Graph Engine vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonApache Drill  Xexclude from comparisonDragonfly  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelGraph DBMS
Relational DBMS
Document store
Relational DBMS
Key-value storeGraph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Websitebitnine.net/­agensgraphdrill.apache.orggithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.graphengine.ioazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationbitnine.net/­documentationdrill.apache.org/­docswww.dragonflydb.io/­docswww.graphengine.io/­docs/­manual
DeveloperBitnine Global Inc.Apache Software FoundationDragonflyDB team and community contributorsMicrosoftMicrosoft
Initial release20162012202320102012
Current release2.1, December 20181.20.3, January 20231.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache Version 2Open Source infoBSL 1.1Open Source infoMIT Licensecommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++.NET and C
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux.NEThosted
Data schemedepending on used data modelschema-freescheme-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyesyes
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 indexesyesnonono
SQL infoSupport of SQLyesSQL SELECT statement is SQL:2003 compliantnonono
APIs and other access methodsCypher Query Language
JDBC
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocolRESTful HTTP APIRESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
C++C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
C++
F#
Visual Basic
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesuser defined functionsLuayesno
Triggersnonopublish/subscribe channels provide some trigger functionalitynono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardinghorizontal partitioningSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of command blocks and scriptsnooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesDepending on the underlying data sourceyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noDepending on the underlying data sourceyesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardDepending on the underlying data sourcePassword-based authenticationAccess rights based on private key authentication or shared access signatures

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More resources
AgensGraphApache DrillDragonflyGraph Engine infoformer name: TrinityMicrosoft Azure Table Storage
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