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DBMS > Dgraph vs. EsgynDB vs. IRONdb vs. Microsoft Access vs. SWC-DB

System Properties Comparison Dgraph vs. EsgynDB vs. IRONdb vs. Microsoft Access vs. SWC-DB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonIRONdb  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 TrafodionA 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.)A high performance, scalable Wide Column DBMS
Primary database modelGraph DBMSRelational DBMSTime Series DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score101.16
Rank#11  Overall
#8  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitedgraph.iowww.esgyn.cnwww.circonus.com/solutions/time-series-database/www.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdgraph.io/­docsdocs.circonus.com/irondb/category/getting-starteddeveloper.microsoft.com/­en-us/­access
DeveloperDgraph Labs, Inc.EsgynCirconus LLC.MicrosoftAlex Kashirin
Initial release20162015201719922020
Current releaseV0.10.20, January 20181902 (16.0.11328.20222), March 20190.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoGPL V3
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++, JavaC and C++C++C++
Server operating systemsLinux
OS X
Windows
LinuxLinuxWindows infoNot a real database server, but making use of DLLsLinux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes 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 indexesyesyesnoyes
SQL infoSupport of SQLnoyesSQL-like query language (Circonus Analytics Query Language: CAQL)yes infobut not compliant to any SQL standardSQL-like query language
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
HTTP APIADO.NET
DAO
ODBC
OLE DB
Proprietary protocol
Thrift
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.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
C++
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes, in Luayes infosince Access 2010 using the ACE-engineno
Triggersnononoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesyesShardingAutomatic, metric affinity per nodenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersconfigurable 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 ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003

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More resources
DgraphEsgynDBIRONdbMicrosoft AccessSWC-DB infoSuper Wide Column Database
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