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DBMS > DolphinDB vs. Graphite vs. H2 vs. LevelDB vs. Microsoft Access

System Properties Comparison DolphinDB vs. Graphite vs. H2 vs. LevelDB vs. Microsoft Access

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonGraphite  Xexclude from comparisonH2  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
DescriptionDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperFull-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 modelTime Series DBMSTime Series DBMSRelational DBMSKey-value storeRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score4.57
Rank#73  Overall
#5  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
Websitewww.dolphindb.comgithub.com/­graphite-project/­graphite-webwww.h2database.comgithub.com/­google/­leveldbwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlgraphite.readthedocs.iowww.h2database.com/­html/­main.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddeveloper.microsoft.com/­en-us/­access
DeveloperDolphinDB, IncChris DavisThomas MuellerGoogleMicrosoft
Initial release20182006200520111992
Current releasev2.00.4, January 20222.2.220, July 20231.23, February 20211902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoApache 2.0Open 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

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Implementation languageC++PythonJavaC++C++
Server operating systemsLinux
Windows
Linux
Unix
All OS with a Java VMIllumos
Linux
OS X
Windows
Windows infoNot a real database server, but making use of DLLs
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesnoyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyesnoyes infobut not compliant to any SQL standard
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP API
Sockets
JDBC
ODBC
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
JavaScript (Node.js)
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
Triggersnonoyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databasenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yesyes
User concepts infoAccess controlAdministrators, Users, Groupsnofine 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
DolphinDBGraphiteH2LevelDBMicrosoft Access
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