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DBMS > AgensGraph vs. Bangdb vs. H2 vs. LevelDB vs. Microsoft Access

System Properties Comparison AgensGraph vs. Bangdb vs. H2 vs. LevelDB vs. Microsoft Access

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBangdb  Xexclude from comparisonH2  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLConverged and high performance database for device data, events, time series, document and graphFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMicrosoft 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 DBMS
Relational DBMS
Document store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitebitnine.net/­agensgraphbangdb.comwww.h2database.comgithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationbitnine.net/­documentationdocs.bangdb.comwww.h2database.com/­html/­main.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­access
DeveloperBitnine Global Inc.Sachin Sinha, BangDBThomas MuellerGoogleMicrosoft
Initial release20162012200520111992
Current release2.1, December 2018BangDB 2.0, October 20212.2.220, July 20231.23, February 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoBSD 3Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSDcommercial 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 languageCC, C++JavaC++C++
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemedepending on used data modelschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesnoyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLyesSQL like support with command line toolyesnoyes infobut not compliant to any SQL standard
APIs and other access methodsCypher Query Language
JDBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC
Java
JavaScript
Python
C
C#
C++
Java
Python
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresyesnoJava Stored Procedures and User-Defined Functionsnoyes infosince Access 2010 using the ACE-engine
Triggersnoyes, Notifications (with Streaming only)yesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factor, Knob for CAP (enterprise version only)With clustering: 2 database servers on different computers operate on identical copies of a databasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyes infowith automatic compression on writesyes 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.noyes, run db with in-memory only modeyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyes (enterprise version only)fine grained access rights according to SQL-standardnono infoa simple user-level security was built in till version Access 2003

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AgensGraphBangdbH2LevelDBMicrosoft Access
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