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DBMS > Dgraph vs. EsgynDB vs. Geode vs. IRONdb vs. Microsoft Access

System Properties Comparison Dgraph vs. EsgynDB vs. Geode vs. IRONdb vs. Microsoft Access

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeode  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityMicrosoft 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.)
Primary database modelGraph DBMSRelational DBMSKey-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.39
Rank#155  Overall
#15  Graph DBMS
Score0.15
Rank#325  Overall
#144  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitedgraph.iowww.esgyn.cngeode.apache.orgwww.circonus.com/solutions/time-series-database/www.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdgraph.io/­docsgeode.apache.org/­docsdocs.circonus.com/irondb/category/getting-starteddeveloper.microsoft.com/­en-us/­access
DeveloperDgraph Labs, Inc.EsgynOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.Circonus LLC.Microsoft
Initial release20162015200220171992
Current release1.1, February 2017V0.10.20, January 20181902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial infoBundled with Microsoft Office
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 languageGoC++, JavaJavaC and C++C++
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes infotext, numeric, histogramsyes
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 indexesyesyesnonoyes
SQL infoSupport of SQLnoyesSQL-like query language (OQL)SQL-like query language (Circonus Analytics Query Language: CAQL)yes infobut not compliant to any SQL standard
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
Java Client API
Memcached protocol
RESTful HTTP API
HTTP APIADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoJava Stored Proceduresuser defined functionsyes, in Luayes infosince Access 2010 using the ACE-engine
Triggersnonoyes infoCache Event Listenersnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersMulti-source replicationconfigurable replication factor, datacenter awarenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodenoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights per client and object definablenono infoa simple user-level security was built in till version Access 2003

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More resources
DgraphEsgynDBGeodeIRONdbMicrosoft Access
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