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DBMS > Bangdb vs. H2 vs. KeyDB vs. TigerGraph

System Properties Comparison Bangdb vs. H2 vs. KeyDB vs. TigerGraph

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonH2  Xexclude from comparisonKeyDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeGraph DBMS
Secondary database modelsSpatial DBMSSpatial 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
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitebangdb.comwww.h2database.comgithub.com/­Snapchat/­KeyDB
keydb.dev
www.tigergraph.com
Technical documentationdocs.bangdb.comwww.h2database.com/­html/­main.htmldocs.keydb.devdocs.tigergraph.com
DeveloperSachin Sinha, BangDBThomas MuellerEQ Alpha Technology Ltd.
Initial release2012200520192017
Current releaseBangDB 2.0, October 20212.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC++C++
Server operating systemsLinuxAll OS with a Java VMLinuxLinux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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, geospatialyesyes infoby using the Redis Search module
SQL infoSupport of SQLSQL like support with command line toolyesnoSQL-like query language (GSQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Java
Python
JavaC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C++
Java
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined FunctionsLuayes
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 algorithmnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)With clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDOptimistic locking, atomic execution of commands blocks and scriptsACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
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 modeyesyesno
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardsimple password-based access control and ACLRole-based access control

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More resources
BangdbH2KeyDBTigerGraph
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