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DBMS > Faircom EDGE vs. Hyprcubd vs. Ingres vs. LevelDB vs. SiteWhere

System Properties Comparison Faircom EDGE vs. Hyprcubd vs. Ingres vs. LevelDB vs. SiteWhere

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHyprcubd  Xexclude from comparisonIngres  Xexclude from comparisonLevelDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsServerless Time Series DBMSWell established RDBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesM2M integration platform for persisting/querying time series data
Primary database modelKey-value store
Relational DBMS
Time Series DBMSRelational DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.06
Rank#356  Overall
#35  Time Series DBMS
Websitewww.faircom.com/­products/­faircom-edgehyprcubd.com (offline)www.actian.com/­databases/­ingresgithub.com/­google/­leveldbgithub.com/­sitewhere/­sitewhere
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.actian.com/­ingresgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdsitewhere1.sitewhere.io/­index.html
DeveloperFairCom CorporationHyprcubd, Inc.Actian CorporationGoogleSiteWhere
Initial release19791974 infooriginally developed at University Berkely in early 1970s20112010
Current releaseV3, October 202011.2, May 20221.23, February 2021
License infoCommercial or Open Sourcecommercial infoRestricted, free version availablecommercialcommercialOpen Source infoBSDOpen Source infoCommon Public Attribution License Version 1.0
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 languageANSI C, C++GoCC++Java
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
hostedAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freepredefined scheme
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyes infotime, int, uint, float, stringyesnoyes
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.yesnono infobut tools for importing/exporting data from/to XML-files availablenono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyes infoANSI SQL queriesSQL-like query languageyesnono
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
gRPC (https).NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
HTTP REST
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++noyesno
Triggersyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioninghorizontal partitioning infoIngres Star to access multiple databases simultaneouslynoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoSynchronous and asynchronous realtime replication based on transaction logsIngres Replicatornoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infowhen using SQLnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnono
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLnoyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.token accessfine grained access rights according to SQL-standardnoUsers with fine-grained authorization concept

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More resources
Faircom EDGE infoformerly c-treeEDGEHyprcubdIngresLevelDBSiteWhere
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