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DBMS > Dolt vs. HugeGraph vs. Interbase vs. LeanXcale vs. Microsoft Access

System Properties Comparison Dolt vs. HugeGraph vs. Interbase vs. LeanXcale vs. Microsoft Access

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonHugeGraph  Xexclude from comparisonInterbase  Xexclude from comparisonLeanXcale  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA fast-speed and highly-scalable Graph DBMSLight-weight proven RDBMS infooriginally from BorlandA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesMicrosoft 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 modelRelational DBMSGraph DBMSRelational DBMSKey-value store
Relational DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score4.61
Rank#72  Overall
#39  Relational DBMS
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
github.com/­hugegraph
hugegraph.apache.org
www.embarcadero.com/­products/­interbasewww.leanxcale.comwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.dolthub.comhugegraph.apache.org/­docsdocs.embarcadero.com/­products/­interbasedeveloper.microsoft.com/­en-us/­access
DeveloperDoltHub IncBaiduEmbarcaderoLeanXcaleMicrosoft
Initial release20182018198420151992
Current release0.9InterBase 2020, December 20191902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0commercialcommercialcommercial 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 languageGoJavaCC++
Server operating systemsLinux
macOS
Windows
Linux
macOS
Unix
Android
iOS
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono infoexport as XML data possible
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLyesnoyesyes infothrough Apache Derbyyes infobut not compliant to any SQL standard
APIs and other access methodsCLI Client
HTTP REST
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
JDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Groovy
Java
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
Java
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseasynchronous Gremlin script jobsyes infoInterbase procedure and trigger languageyes infosince Access 2010 using the ACE-engine
Triggersyesnoyesyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneyes infodepending on used storage backend, e.g. Cassandra and HBasenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes infodepending on used storage backend, e.g. Cassandra and HBaseInterbase Change Viewsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infoedges in graphyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyesyes
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.yesyesyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupUsers, roles and permissionsfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003

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More resources
DoltHugeGraphInterbaseLeanXcaleMicrosoft Access
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