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DBMS > Bangdb vs. Google Cloud Firestore vs. Hawkular Metrics vs. Microsoft Access vs. WakandaDB

System Properties Comparison Bangdb vs. Google Cloud Firestore vs. Hawkular Metrics vs. Microsoft Access vs. WakandaDB

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.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.)WakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeTime Series DBMSRelational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitebangdb.comfirebase.google.com/­products/­firestorewww.hawkular.orgwww.microsoft.com/­en-us/­microsoft-365/­accesswakanda.github.io
Technical documentationdocs.bangdb.comfirebase.google.com/­docs/­firestorewww.hawkular.org/­hawkular-metrics/­docs/­user-guidedeveloper.microsoft.com/­en-us/­accesswakanda.github.io/­doc
DeveloperSachin Sinha, BangDBGoogleCommunity supported by Red HatMicrosoftWakanda SAS
Initial release20122017201419922012
Current releaseBangDB 2.0, October 20211902 (16.0.11328.20222), March 20192.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourceOpen Source infoBSD 3commercialOpen Source infoApache 2.0commercial infoBundled with Microsoft OfficeOpen Source infoAGPLv3, extended commercial license 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 languageC, C++JavaC++C++, JavaScript
Server operating systemsLinuxhostedLinux
OS X
Windows
Windows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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 indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolnonoyes infobut not compliant to any SQL standardno
APIs and other access methodsProprietary protocol
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP RESTADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesC
C#
C++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Go
Java
Python
Ruby
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
JavaScript
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnoyes infosince Access 2010 using the ACE-engineyes
Triggersyes, Notifications (with Streaming only)yes, with Cloud Functionsyes infovia Hawkular Alertingyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingSharding infobased on Cassandranonenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationselectable replication factor infobased on Cassandranonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes 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.yes, run db with in-memory only modenono
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.nono infoa simple user-level security was built in till version Access 2003yes

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More resources
BangdbGoogle Cloud FirestoreHawkular MetricsMicrosoft AccessWakandaDB
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