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DBMS > BigObject vs. Faircom EDGE vs. H2 vs. KeyDB

System Properties Comparison BigObject vs. Faircom EDGE vs. H2 vs. KeyDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonH2  Xexclude from comparisonKeyDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFull-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 protocols
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedKey-value store
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitebigobject.iowww.faircom.com/­products/­faircom-edgewww.h2database.comgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationdocs.bigobject.iodocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.h2database.com/­html/­main.htmldocs.keydb.dev
DeveloperBigObject, Inc.FairCom CorporationThomas MuellerEQ Alpha Technology Ltd.
Initial release2015197920052019
Current releaseV3, October 20202.2.220, July 2023
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Android
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMLinux
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesyesyesyesyes infoby using the Redis Search module
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infoANSI SQL queriesyesno
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
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
Server-side scripts infoStored proceduresLuayes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined FunctionsLua
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsWith 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 methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyes infowhen using SQLyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardsimple password-based access control and ACL

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More resources
BigObjectFaircom EDGE infoformerly c-treeEDGEH2KeyDB
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