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DBMS > DolphinDB vs. Linter vs. Microsoft Access vs. Sqrrl vs. TigerGraph

System Properties Comparison DolphinDB vs. Linter vs. Microsoft Access vs. Sqrrl vs. TigerGraph

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSqrrl  Xexclude from comparisonTigerGraph  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
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.RDBMS for high security requirementsMicrosoft 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.)Adaptable, secure NoSQL built on Apache AccumuloA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelTime Series DBMSRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph 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
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitewww.dolphindb.comlinter.ruwww.microsoft.com/­en-us/­microsoft-365/­accesssqrrl.comwww.tigergraph.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldeveloper.microsoft.com/­en-us/­accessdocs.tigergraph.com
DeveloperDolphinDB, Increlex.ruMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release20181990199220122017
Current releasev2.00.4, January 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialcommercial infoBundled with Microsoft Officecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++JavaC++
Server operating systemsLinux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Windows infoNot a real database server, but making use of DLLsLinuxLinux
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesyes infobut not compliant to any SQL standardnoSQL-like query language (GSQL)
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
ADO.NET
DAO
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
Server-side scripts infoStored proceduresyesyes infoproprietary syntax with the possibility to convert from PL/SQLyes infosince Access 2010 using the ACE-enginenoyes
Triggersnoyesyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonenoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationnoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID infobut no files for transaction loggingAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role-based access control

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More resources
DolphinDBLinterMicrosoft AccessSqrrlTigerGraph
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