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DBMS > dBASE vs. Firebase Realtime Database vs. IBM Db2 Event Store vs. Lovefield vs. WakandaDB

System Properties Comparison dBASE vs. Firebase Realtime Database vs. IBM Db2 Event Store vs. Lovefield vs. WakandaDB

Editorial information provided by DB-Engines
NamedBASE  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonLovefield  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptiondBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Distributed Event Store optimized for Internet of Things use casesEmbeddable relational database for web apps written in pure JavaScriptWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSDocument storeEvent Store
Time Series DBMS
Relational DBMSObject oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.70
Rank#44  Overall
#28  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.dbase.comfirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­db2-event-storegoogle.github.io/­lovefieldwakanda.github.io
Technical documentationwww.dbase.com/­support/­knowledgebasefirebase.google.com/­docs/­databasewww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwakanda.github.io/­doc
DeveloperAsthon TateGoogle infoacquired by Google 2014IBMGoogleWakanda SAS
Initial release19792012201720142012
Current releasedBASE 2019, 20192.02.1.12, February 20172.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree developer edition availableOpen Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaScriptC++, JavaScript
Server operating systemsDOS infodBase Classic
Windows infodBase Pro
hostedLinux infoLinux, macOS, Windows for the developer additionserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Data schemeyesschema-freeyesyesyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimeSQL-like query language infovia JavaScript builder patternno
APIs and other access methodsnone infoThe IDE can access other DBMS or ODBC-sources.Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languagesdBase proprietary IDEJava
JavaScript
Objective-C
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
JavaScriptJavaScript
Server-side scripts infoStored proceduresno infoThe IDE can access stored procedures in other database systems.limited functionality with using 'rules'yesnoyes
TriggersnoCallbacks are triggered when data changesnoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive-active shard replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infonot for dBase internal data, but IDE does support transactions when accessing external DBMSyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDBno
User concepts infoAccess controlAccess rights for users and rolesyes, based on authentication and database rulesfine grained access rights according to SQL-standardnoyes

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More resources
dBASEFirebase Realtime DatabaseIBM Db2 Event StoreLovefieldWakandaDB
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