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DBMS > Bangdb vs. Faircom EDGE vs. HarperDB vs. Tkrzw

System Properties Comparison Bangdb vs. Faircom EDGE vs. HarperDB vs. Tkrzw

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHarperDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value store
Relational DBMS
Document storeKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score0.60
Rank#244  Overall
#38  Document stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitebangdb.comwww.faircom.com/­products/­faircom-edgewww.harperdb.iodbmx.net/­tkrzw
Technical documentationdocs.bangdb.comdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.harperdb.io/­docs
DeveloperSachin Sinha, BangDBFairCom CorporationHarperDBMikio Hirabayashi
Initial release2012197920172020
Current releaseBangDB 2.0, October 2021V3, October 20203.1, August 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infoRestricted, free version availablecommercial infofree community edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ANSI C, C++Node.jsC++
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
OS X
Linux
macOS
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)dynamic schemaschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyes, ANSI Standard SQL Typesyes infoJSON data typesno
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.noyesnono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolyes infoANSI SQL queriesSQL-like data manipulation statementsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
Supported programming languagesC
C#
C++
Java
Python
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++Custom Functions infosince release 3.1no
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmFile partitioning infoCustomizable business rules for partitioningA table resides as a whole on one (or more) nodes in a clusternone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infoSynchronous and asynchronous realtime replication based on transaction logsyes infothe nodes on which a table resides can be definednone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic execution of specific operations
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes, using LMDByes
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 modeyesyesyes infousing specific database classes
User concepts infoAccess controlyes (enterprise version only)Fine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights for users and rolesno

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More resources
BangdbFaircom EDGE infoformerly c-treeEDGEHarperDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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