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DBMS > Faircom EDGE vs. H2 vs. LevelDB vs. NuoDB vs. TerarkDB

System Properties Comparison Faircom EDGE vs. H2 vs. LevelDB vs. NuoDB vs. TerarkDB

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonH2  Xexclude from comparisonLevelDB  Xexclude from comparisonNuoDB  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionFairCom 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesNuoDB is a webscale distributed database that supports SQL and ACID transactionsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelKey-value store
Relational DBMS
Relational DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Websitewww.faircom.com/­products/­faircom-edgewww.h2database.comgithub.com/­google/­leveldbwww.3ds.com/­nuodb-distributed-sql-databasegithub.com/­bytedance/­terarkdb
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.h2database.com/­html/­main.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddoc.nuodb.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperFairCom CorporationThomas MuellerGoogleDassault Systèmes infooriginally NuoDB, Inc.ByteDance, originally Terark
Initial release19792005201120132016
Current releaseV3, October 20202.2.220, July 20231.23, February 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoBSDcommercial infolimited edition freecommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageANSI C, C++JavaC++C++C++
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMIllumos
Linux
OS X
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesnoyesno
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.yesnononono
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLyes infoANSI SQL queriesyesnoyesno
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
C++ API
Java API
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined FunctionsnoJava, SQLno
Triggersyesyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnonenonedata is dynamically stored/cached on the nodes where it is read/writtennone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsWith clustering: 2 database servers on different computers operate on identical copies of a databasenoneyes infoManaged transparently by NuoDBnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infotunable commit protocolno
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yesyes infoMVCCyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTemporary tableyes
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardnoStandard SQL roles/ privileges, Administrative Usersno

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More resources
Faircom EDGE infoformerly c-treeEDGEH2LevelDBNuoDBTerarkDB
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