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DBMS > BigchainDB vs. Firebase Realtime Database vs. Microsoft Access vs. Qdrant vs. Splunk

System Properties Comparison BigchainDB vs. Firebase Realtime Database vs. Microsoft Access vs. Qdrant vs. Splunk

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonQdrant  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Microsoft 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.)A high-performance vector database with neural network or semantic-based matchingAnalytics Platform for Big Data
Primary database modelDocument storeDocument storeRelational DBMSVector DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Websitewww.bigchaindb.comfirebase.google.com/­products/­realtime-databasewww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­qdrant/­qdrant
qdrant.tech
www.splunk.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasedeveloper.microsoft.com/­en-us/­accessqdrant.tech/­documentationdocs.splunk.com/­Documentation/­Splunk
DeveloperGoogle infoacquired by Google 2014MicrosoftQdrantSplunk Inc.
Initial release20162012199220212003
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0commercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++Rust
Server operating systemsLinuxhostedWindows infoNot a real database server, but making use of DLLsDocker
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyesNumbers, Strings, Geo, Booleanyes
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.nononoyes
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardnono infoSplunk Search Processing Language for search commands
APIs and other access methodsCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes infosince Access 2010 using the ACE-engineyes
TriggersCallbacks are triggered when data changesyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneCollection-level replicationMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual Consistency, tunable consistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infobut no files for transaction loggingno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes 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 controlyesyes, based on authentication and database rulesno infoa simple user-level security was built in till version Access 2003Key-based authenticationAccess rights for users and roles

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More resources
BigchainDBFirebase Realtime DatabaseMicrosoft AccessQdrantSplunk
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