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DBMS > Dragonfly vs. IBM Db2 warehouse vs. LokiJS vs. Microsoft Access vs. Sqrrl

System Properties Comparison Dragonfly vs. IBM Db2 warehouse vs. LokiJS vs. Microsoft Access vs. Sqrrl

Editorial information provided by DB-Engines
NameDragonfly  Xexclude from comparisonIBM Db2 warehouse infoformerly named IBM dashDB  Xexclude from comparisonLokiJS  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonSqrrl  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.
DescriptionA drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceCloud-based data warehousing serviceIn-memory JavaScript DBMSMicrosoft 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 Accumulo
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.44
Rank#255  Overall
#38  Key-value stores
Score1.26
Rank#162  Overall
#73  Relational DBMS
Score0.44
Rank#256  Overall
#40  Document stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Websitegithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.ibm.com/­products/­db2/­warehousegithub.com/­techfort/­LokiJSwww.microsoft.com/­en-us/­microsoft-365/­accesssqrrl.com
Technical documentationwww.dragonflydb.io/­docstechfort.github.io/­LokiJSdeveloper.microsoft.com/­en-us/­access
DeveloperDragonflyDB team and community contributorsIBMMicrosoftAmazon infooriginally Sqrrl Data, Inc.
Initial release20232014201419922012
Current release1.0, March 20231902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoBSL 1.1commercialOpen Sourcecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaScriptC++Java
Server operating systemsLinuxhostedserver-less, requires a JavaScript environment (browser, Node.js)Windows infoNot a real database server, but making use of DLLsLinux
Data schemescheme-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datestrings, hashes, lists, sets, sorted sets, bit arraysyesnoyesyes
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.nono infoImport/export of XML data possibleno
Secondary indexesnoyesyes infovia viewsyesyes
SQL infoSupport of SQLnoyesnoyes infobut not compliant to any SQL standardno
APIs and other access methodsProprietary protocol infoRESP - REdis Serialization Protocol.NET Client API
JDBC
ODBC
OLE DB
JavaScript APIADO.NET
DAO
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScriptC
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
Server-side scripts infoStored proceduresLuaPL/SQL, SQL PLView functions in JavaScriptyes infosince Access 2010 using the ACE-engineno
Triggerspublish/subscribe channels provide some trigger functionalityyesyesyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesnonenoneselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencynoneImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scriptsACIDno infoatomic operations within a single collection possibleACID infobut no files for transaction loggingAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayes, strict serializability by the serveryesyesyes
Durability infoSupport for making data persistentyesyesyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yes 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.yesyesyes
User concepts infoAccess controlPassword-based authenticationfine grained access rights according to SQL-standardnono 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)

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More resources
DragonflyIBM Db2 warehouse infoformerly named IBM dashDBLokiJSMicrosoft AccessSqrrl
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