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DBMS > Faircom EDGE vs. H2 vs. Hive vs. TempoIQ vs. TerminusDB

System Properties Comparison Faircom EDGE vs. H2 vs. Hive vs. TempoIQ vs. TerminusDB

Editorial information provided by DB-Engines
NameFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed 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 environmentsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.data warehouse software for querying and managing large distributed datasets, built on HadoopScalable analytics DBMS for sensor data, provided as a service (SaaS)Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMSTime Series DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
RDF store
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
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websitewww.faircom.com/­products/­faircom-edgewww.h2database.comhive.apache.orgtempoiq.com (offline)terminusdb.com
Technical documentationdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Hometerminusdb.github.io/­terminusdb/­#
DeveloperFairCom CorporationThomas MuellerApache Software Foundation infoinitially developed by FacebookTempoIQDataChemist Ltd.
Initial release19792005201220122018
Current releaseV3, October 20202.2.220, July 20233.1.3, April 202211.0.0, January 2023
License infoCommercial or Open Sourcecommercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2commercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageANSI C, C++JavaJavaProlog, Rust
Server operating systemsAndroid
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMAll OS with a Java VMLinux
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesyesschema-freeyes
Typing infopredefined data types such as float or dateyes, ANSI Standard SQL Typesyesyesyesyes
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.yesnonono
Secondary indexesyesyesyes
SQL infoSupport of SQLyes infoANSI SQL queriesyesSQL-like DML and DDL statementsnoSQL-like query language (WOQL)
APIs and other access methodsADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Thrift
HTTP APIOWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaC++
Java
PHP
Python
C#
Java
JavaScript infoNode.js
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reducenoyes
Triggersyesyesnoyes infoRealtime Alertsyes
Partitioning methods infoMethods for storing different data on different nodesFile partitioning infoCustomizable business rules for partitioningnoneShardingGraph Partitioning
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 databaseselectable replication factorJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes infowhen using SQLyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory journaling
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
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-standardAccess rights for users, groups and rolessimple authentication-based access controlRole-based access control

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More resources
Faircom EDGE infoformerly c-treeEDGEH2HiveTempoIQ infoformerly TempoDBTerminusDB infoformer name was DataChemist
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